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1 // 1 //
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23 // * acceptance of all terms of the Geant4 Sof <<
24 // ******************************************* 21 // ********************************************************************
25 // 22 //
26 // G4Integrator inline methods implementation <<
27 // 23 //
28 // Author: V.Grichine, 04.09.1999 - First impl << 24 // $Id: G4Integrator.icc,v 1.7 2001/07/11 10:00:40 gunter Exp $
29 // G4SimpleIntegration class with H.P. << 25 // GEANT4 tag $Name: geant4-04-01 $
30 // E.TCherniaev advises << 26 //
31 // ------------------------------------------- << 27 // Implementation of G4Integrator methods.
>> 28 //
>> 29 //
32 30
33 ////////////////////////////////////////////// 31 /////////////////////////////////////////////////////////////////////
34 // 32 //
35 // Sympson integration method 33 // Sympson integration method
36 // 34 //
37 ////////////////////////////////////////////// 35 /////////////////////////////////////////////////////////////////////
38 // 36 //
39 // Integration of class member functions T::f << 37 // Integration of class member functions T::f by Simpson method.
40 <<
41 template <class T, class F> <<
42 G4double G4Integrator<T, F>::Simpson(T& typeT, <<
43 G4double <<
44 { <<
45 G4int i; <<
46 G4double step = (xFinal - xInitial) / itera <<
47 G4double x = xInitial; <<
48 G4double xPlus = xInitial + 0.5 * step; <<
49 G4double mean = ((typeT.*f)(xInitial) + (ty <<
50 G4double sum = (typeT.*f)(xPlus); <<
51 38
52 for(i = 1; i < iterationNumber; ++i) << 39 template <class T, class F>
53 { << 40 G4double G4Integrator<T,F>::Simpson( T& typeT,
54 x += step; << 41 F f,
55 xPlus += step; << 42 G4double xInitial,
56 mean += (typeT.*f)(x); << 43 G4double xFinal,
57 sum += (typeT.*f)(xPlus); << 44 G4int iterationNumber )
58 } << 45 {
59 mean += 2.0 * sum; << 46 G4int i ;
>> 47 G4double step = (xFinal - xInitial)/iterationNumber ;
>> 48 G4double x = xInitial ;
>> 49 G4double xPlus = xInitial + 0.5*step ;
>> 50 G4double mean = ( (typeT.*f)(xInitial) + (typeT.*f)(xFinal) )*0.5 ;
>> 51 G4double sum = (typeT.*f)(xPlus) ;
>> 52
>> 53 for(i=1;i<iterationNumber;i++)
>> 54 {
>> 55 x += step ;
>> 56 xPlus += step ;
>> 57 mean += (typeT.*f)(x) ;
>> 58 sum += (typeT.*f)(xPlus) ;
>> 59 }
>> 60 mean += 2.0*sum ;
60 61
61 return mean * step / 3.0; << 62 return mean*step/3.0 ;
62 } 63 }
63 64
64 ////////////////////////////////////////////// 65 /////////////////////////////////////////////////////////////////////
65 // 66 //
66 // Integration of class member functions T::f 67 // Integration of class member functions T::f by Simpson method.
67 // Convenient to use with 'this' pointer 68 // Convenient to use with 'this' pointer
68 69
69 template <class T, class F> << 70 template <class T, class F>
70 G4double G4Integrator<T, F>::Simpson(T* ptrT, << 71 G4double G4Integrator<T,F>::Simpson( T* ptrT,
71 G4double << 72 F f,
72 { << 73 G4double xInitial,
73 G4int i; << 74 G4double xFinal,
74 G4double step = (xFinal - xInitial) / itera << 75 G4int iterationNumber )
75 G4double x = xInitial; << 76 {
76 G4double xPlus = xInitial + 0.5 * step; << 77 G4int i ;
77 G4double mean = ((ptrT->*f)(xInitial) + (pt << 78 G4double step = (xFinal - xInitial)/iterationNumber ;
78 G4double sum = (ptrT->*f)(xPlus); << 79 G4double x = xInitial ;
>> 80 G4double xPlus = xInitial + 0.5*step ;
>> 81 G4double mean = ( (ptrT->*f)(xInitial) + (ptrT->*f)(xFinal) )*0.5 ;
>> 82 G4double sum = (ptrT->*f)(xPlus) ;
>> 83
>> 84 for(i=1;i<iterationNumber;i++)
>> 85 {
>> 86 x += step ;
>> 87 xPlus += step ;
>> 88 mean += (ptrT->*f)(x) ;
>> 89 sum += (ptrT->*f)(xPlus) ;
>> 90 }
>> 91 mean += 2.0*sum ;
79 92
80 for(i = 1; i < iterationNumber; ++i) << 93 return mean*step/3.0 ;
81 { <<
82 x += step; <<
83 xPlus += step; <<
84 mean += (ptrT->*f)(x); <<
85 sum += (ptrT->*f)(xPlus); <<
86 } <<
87 mean += 2.0 * sum; <<
88 <<
89 return mean * step / 3.0; <<
90 } 94 }
91 95
92 ////////////////////////////////////////////// 96 /////////////////////////////////////////////////////////////////////
93 // 97 //
94 // Integration of class member functions T::f 98 // Integration of class member functions T::f by Simpson method.
95 // Convenient to use, when function f is defin 99 // Convenient to use, when function f is defined in global scope, i.e. in main()
96 // program 100 // program
97 101
98 template <class T, class F> << 102 template <class T, class F>
99 G4double G4Integrator<T, F>::Simpson(G4double << 103 G4double G4Integrator<T,F>::Simpson( G4double (*f)(G4double),
100 G4double << 104 G4double xInitial,
101 { << 105 G4double xFinal,
102 G4int i; << 106 G4int iterationNumber )
103 G4double step = (xFinal - xInitial) / itera << 107 {
104 G4double x = xInitial; << 108 G4int i ;
105 G4double xPlus = xInitial + 0.5 * step; << 109 G4double step = (xFinal - xInitial)/iterationNumber ;
106 G4double mean = ((*f)(xInitial) + (*f)(xFin << 110 G4double x = xInitial ;
107 G4double sum = (*f)(xPlus); << 111 G4double xPlus = xInitial + 0.5*step ;
108 << 112 G4double mean = ( (*f)(xInitial) + (*f)(xFinal) )*0.5 ;
109 for(i = 1; i < iterationNumber; ++i) << 113 G4double sum = (*f)(xPlus) ;
110 { << 114
111 x += step; << 115 for(i=1;i<iterationNumber;i++)
112 xPlus += step; << 116 {
113 mean += (*f)(x); << 117 x += step ;
114 sum += (*f)(xPlus); << 118 xPlus += step ;
115 } << 119 mean += (*f)(x) ;
116 mean += 2.0 * sum; << 120 sum += (*f)(xPlus) ;
>> 121 }
>> 122 mean += 2.0*sum ;
117 123
118 return mean * step / 3.0; << 124 return mean*step/3.0 ;
119 } 125 }
120 126
121 ////////////////////////////////////////////// 127 //////////////////////////////////////////////////////////////////////////
122 // 128 //
123 // Adaptive Gauss method 129 // Adaptive Gauss method
124 // 130 //
125 ////////////////////////////////////////////// 131 //////////////////////////////////////////////////////////////////////////
126 // 132 //
127 // 133 //
128 134
129 template <class T, class F> << 135 template <class T, class F>
130 G4double G4Integrator<T, F>::Gauss(T& typeT, F << 136 G4double G4Integrator<T,F>::Gauss( T& typeT, F f,
131 G4double xF << 137 G4double xInitial, G4double xFinal )
132 { << 138 {
133 static const G4double root = 1.0 / std::sqrt << 139 static G4double root = 1.0/sqrt(3.0) ;
134 << 140
135 G4double xMean = (xInitial + xFinal) / 2.0; << 141 G4double xMean = (xInitial + xFinal)/2.0 ;
136 G4double Step = (xFinal - xInitial) / 2.0; << 142 G4double Step = (xFinal - xInitial)/2.0 ;
137 G4double delta = Step * root; << 143 G4double delta = Step*root ;
138 G4double sum = ((typeT.*f)(xMean + delta) << 144 G4double sum = ((typeT.*f)(xMean + delta) +
139 << 145 (typeT.*f)(xMean - delta)) ;
140 return sum * Step; << 146
>> 147 return sum*Step ;
141 } 148 }
142 149
143 ////////////////////////////////////////////// 150 //////////////////////////////////////////////////////////////////////
144 // 151 //
145 // 152 //
146 153
147 template <class T, class F> << 154 template <class T, class F> G4double
148 G4double G4Integrator<T, F>::Gauss(T* ptrT, F << 155 G4Integrator<T,F>::Gauss( T* ptrT, F f, G4double a, G4double b )
149 { 156 {
150 return Gauss(*ptrT, f, a, b); << 157 return Gauss(*ptrT,f,a,b) ;
151 } 158 }
152 159
153 ////////////////////////////////////////////// 160 ///////////////////////////////////////////////////////////////////////
154 // 161 //
155 // 162 //
156 163
157 template <class T, class F> 164 template <class T, class F>
158 G4double G4Integrator<T, F>::Gauss(G4double (* << 165 G4double G4Integrator<T,F>::Gauss( G4double (*f)(G4double),
159 G4double xF << 166 G4double xInitial, G4double xFinal)
160 { 167 {
161 static const G4double root = 1.0 / std::sqrt << 168 static G4double root = 1.0/sqrt(3.0) ;
162 << 169
163 G4double xMean = (xInitial + xFinal) / 2.0; << 170 G4double xMean = (xInitial + xFinal)/2.0 ;
164 G4double Step = (xFinal - xInitial) / 2.0; << 171 G4double Step = (xFinal - xInitial)/2.0 ;
165 G4double delta = Step * root; << 172 G4double delta = Step*root ;
166 G4double sum = ((*f)(xMean + delta) + (*f) << 173 G4double sum = ( (*f)(xMean + delta) + (*f)(xMean - delta) ) ;
167 << 174
168 return sum * Step; << 175 return sum*Step ;
169 } 176 }
170 177
171 ////////////////////////////////////////////// 178 ///////////////////////////////////////////////////////////////////////////
172 // 179 //
173 // 180 //
174 181
175 template <class T, class F> << 182 template <class T, class F>
176 void G4Integrator<T, F>::AdaptGauss(T& typeT, << 183 void G4Integrator<T,F>::AdaptGauss( T& typeT, F f, G4double xInitial,
177 G4double x << 184 G4double xFinal, G4double fTolerance,
178 G4double& << 185 G4double& sum,
>> 186 G4int& depth )
>> 187 {
>> 188 if(depth > 100)
>> 189 {
>> 190 G4cout<<"G4Integrator<T,F>::AdaptGauss: WARNING !!!"<<G4endl ;
>> 191 G4cout
>> 192 <<"Function varies too rapidly to get stated accuracy in 100 steps "<<G4endl ;
>> 193
>> 194 return ;
>> 195 }
>> 196 G4double xMean = (xInitial + xFinal)/2.0 ;
>> 197 G4double leftHalf = Gauss(typeT,f,xInitial,xMean) ;
>> 198 G4double rightHalf = Gauss(typeT,f,xMean,xFinal) ;
>> 199 G4double full = Gauss(typeT,f,xInitial,xFinal) ;
>> 200 if(fabs(leftHalf+rightHalf-full) < fTolerance)
>> 201 {
>> 202 sum += full ;
>> 203 }
>> 204 else
>> 205 {
>> 206 depth++ ;
>> 207 AdaptGauss(typeT,f,xInitial,xMean,fTolerance,sum,depth) ;
>> 208 AdaptGauss(typeT,f,xMean,xFinal,fTolerance,sum,depth) ;
>> 209 }
>> 210 }
>> 211
>> 212 template <class T, class F>
>> 213 void G4Integrator<T,F>::AdaptGauss( T* ptrT, F f, G4double xInitial,
>> 214 G4double xFinal, G4double fTolerance,
>> 215 G4double& sum,
>> 216 G4int& depth )
179 { 217 {
180 if(depth > 100) << 218 AdaptGauss(*ptrT,f,xInitial,xFinal,fTolerance,sum,depth) ;
181 { <<
182 G4cout << "G4Integrator<T,F>::AdaptGauss: <<
183 G4cout << "Function varies too rapidly to <<
184 << G4endl; <<
185 <<
186 return; <<
187 } <<
188 G4double xMean = (xInitial + xFinal) / 2 <<
189 G4double leftHalf = Gauss(typeT, f, xInitia <<
190 G4double rightHalf = Gauss(typeT, f, xMean, <<
191 G4double full = Gauss(typeT, f, xInitia <<
192 if(std::fabs(leftHalf + rightHalf - full) < <<
193 { <<
194 sum += full; <<
195 } <<
196 else <<
197 { <<
198 ++depth; <<
199 AdaptGauss(typeT, f, xInitial, xMean, fTol <<
200 AdaptGauss(typeT, f, xMean, xFinal, fToler <<
201 } <<
202 } <<
203 <<
204 template <class T, class F> <<
205 void G4Integrator<T, F>::AdaptGauss(T* ptrT, F <<
206 G4double x <<
207 G4double& <<
208 { <<
209 AdaptGauss(*ptrT, f, xInitial, xFinal, fTole <<
210 } 219 }
211 220
212 ////////////////////////////////////////////// 221 /////////////////////////////////////////////////////////////////////////
213 // 222 //
214 // 223 //
215 template <class T, class F> 224 template <class T, class F>
216 void G4Integrator<T, F>::AdaptGauss(G4double ( << 225 void G4Integrator<T,F>::AdaptGauss( G4double (*f)(G4double),
217 G4double x << 226 G4double xInitial, G4double xFinal,
218 G4double& << 227 G4double fTolerance, G4double& sum,
219 { << 228 G4int& depth )
220 if(depth > 100) << 229 {
221 { << 230 if(depth > 100)
222 G4cout << "G4SimpleIntegration::AdaptGauss << 231 {
223 G4cout << "Function varies too rapidly to << 232 G4cout<<"G4SimpleIntegration::AdaptGauss: WARNING !!!"<<G4endl ;
224 << G4endl; << 233 G4cout<<"Function varies too rapidly to get stated accuracy in 100 steps "
225 << 234 <<G4endl ;
226 return; << 235
227 } << 236 return ;
228 G4double xMean = (xInitial + xFinal) / 2 << 237 }
229 G4double leftHalf = Gauss(f, xInitial, xMea << 238 G4double xMean = (xInitial + xFinal)/2.0 ;
230 G4double rightHalf = Gauss(f, xMean, xFinal) << 239 G4double leftHalf = Gauss(f,xInitial,xMean) ;
231 G4double full = Gauss(f, xInitial, xFin << 240 G4double rightHalf = Gauss(f,xMean,xFinal) ;
232 if(std::fabs(leftHalf + rightHalf - full) < << 241 G4double full = Gauss(f,xInitial,xFinal) ;
233 { << 242 if(fabs(leftHalf+rightHalf-full) < fTolerance)
234 sum += full; << 243 {
235 } << 244 sum += full ;
236 else << 245 }
237 { << 246 else
238 ++depth; << 247 {
239 AdaptGauss(f, xInitial, xMean, fTolerance, << 248 depth++ ;
240 AdaptGauss(f, xMean, xFinal, fTolerance, s << 249 AdaptGauss(f,xInitial,xMean,fTolerance,sum,depth) ;
241 } << 250 AdaptGauss(f,xMean,xFinal,fTolerance,sum,depth) ;
>> 251 }
242 } 252 }
243 253
>> 254
>> 255
>> 256
244 ////////////////////////////////////////////// 257 ////////////////////////////////////////////////////////////////////////
245 // 258 //
246 // Adaptive Gauss integration with accuracy 'e 259 // Adaptive Gauss integration with accuracy 'e'
247 // Convenient for using with class object type 260 // Convenient for using with class object typeT
248 << 261
249 template <class T, class F> << 262 template<class T, class F> G4double
250 G4double G4Integrator<T, F>::AdaptiveGauss(T& << 263 G4Integrator<T,F>::AdaptiveGauss( T& typeT, F f, G4double xInitial,
251 G4d << 264 G4double xFinal, G4double e )
252 { << 265 {
253 G4int depth = 0; << 266 G4int depth = 0 ;
254 G4double sum = 0.0; << 267 G4double sum = 0.0 ;
255 AdaptGauss(typeT, f, xInitial, xFinal, e, su << 268 AdaptGauss(typeT,f,xInitial,xFinal,e,sum,depth) ;
256 return sum; << 269 return sum ;
257 } 270 }
258 271
259 ////////////////////////////////////////////// 272 ////////////////////////////////////////////////////////////////////////
260 // 273 //
261 // Adaptive Gauss integration with accuracy 'e 274 // Adaptive Gauss integration with accuracy 'e'
262 // Convenient for using with 'this' pointer 275 // Convenient for using with 'this' pointer
263 << 276
264 template <class T, class F> << 277 template<class T, class F> G4double
265 G4double G4Integrator<T, F>::AdaptiveGauss(T* << 278 G4Integrator<T,F>::AdaptiveGauss( T* ptrT, F f, G4double xInitial,
266 G4d << 279 G4double xFinal, G4double e )
267 { 280 {
268 return AdaptiveGauss(*ptrT, f, xInitial, xFi << 281 return AdaptiveGauss(*ptrT,f,xInitial,xFinal,e) ;
269 } 282 }
270 283
271 ////////////////////////////////////////////// 284 ////////////////////////////////////////////////////////////////////////
272 // 285 //
273 // Adaptive Gauss integration with accuracy 'e 286 // Adaptive Gauss integration with accuracy 'e'
274 // Convenient for using with global scope func 287 // Convenient for using with global scope function f
275 << 288
276 template <class T, class F> << 289 template <class T, class F> G4double
277 G4double G4Integrator<T, F>::AdaptiveGauss(G4d << 290 G4Integrator<T,F>::AdaptiveGauss( G4double (*f)(G4double),
278 G4d << 291 G4double xInitial, G4double xFinal, G4double e )
279 G4d << 292 {
280 { << 293 G4int depth = 0 ;
281 G4int depth = 0; << 294 G4double sum = 0.0 ;
282 G4double sum = 0.0; << 295 AdaptGauss(f,xInitial,xFinal,e,sum,depth) ;
283 AdaptGauss(f, xInitial, xFinal, e, sum, dept << 296 return sum ;
284 return sum; <<
285 } 297 }
286 298
287 ////////////////////////////////////////////// 299 ////////////////////////////////////////////////////////////////////////////
288 // Gauss integration methods involving ortogon 300 // Gauss integration methods involving ortogonal polynomials
289 ////////////////////////////////////////////// 301 ////////////////////////////////////////////////////////////////////////////
290 // 302 //
291 // Methods involving Legendre polynomials << 303 // Methods involving Legendre polynomials
292 // 304 //
293 ////////////////////////////////////////////// 305 /////////////////////////////////////////////////////////////////////////
294 // 306 //
295 // The value nLegendre set the accuracy requir 307 // The value nLegendre set the accuracy required, i.e the number of points
296 // where the function pFunction will be evalua 308 // where the function pFunction will be evaluated during integration.
297 // The function creates the arrays for absciss << 309 // The function creates the arrays for abscissas and weights that used
298 // in Gauss-Legendre quadrature method. << 310 // in Gauss-Legendre quadrature method.
299 // The values a and b are the limits of integr 311 // The values a and b are the limits of integration of the function f .
300 // nLegendre MUST BE EVEN !!! 312 // nLegendre MUST BE EVEN !!!
301 // Returns the integral of the function f betw << 313 // Returns the integral of the function f between a and b, by 2*fNumber point
302 // Gauss-Legendre integration: the function is 314 // Gauss-Legendre integration: the function is evaluated exactly
303 // 2*fNumber times at interior points in the r << 315 // 2*fNumber times at interior points in the range of integration.
304 // Since the weights and abscissas are, in thi << 316 // Since the weights and abscissas are, in this case, symmetric around
305 // the midpoint of the range of integration, t << 317 // the midpoint of the range of integration, there are actually only
306 // fNumber distinct values of each. 318 // fNumber distinct values of each.
307 // Convenient for using with some class object 319 // Convenient for using with some class object dataT
308 320
309 template <class T, class F> << 321 template <class T, class F> G4double
310 G4double G4Integrator<T, F>::Legendre(T& typeT << 322 G4Integrator<T,F>::Legendre( T& typeT, F f, G4double a, G4double b, G4int nLegendre)
311 G4int nL <<
312 { 323 {
313 G4double nwt, nwt1, temp1, temp2, temp3, tem << 324 G4double newton, newton1, temp1, temp2, temp3, temp ;
314 G4double xDiff, xMean, dx, integral; << 325 G4double xDiff, xMean, dx, integral ;
315 <<
316 const G4double tolerance = 1.6e-10; <<
317 G4int i, j, k = nLegendre; <<
318 G4int fNumber = (nLegendre + 1) / 2; <<
319 <<
320 if(2 * fNumber != k) <<
321 { <<
322 G4Exception("G4Integrator<T,F>::Legendre(T <<
323 FatalException, "Invalid (odd) <<
324 } <<
325 <<
326 G4double* fAbscissa = new G4double[fNumber]; <<
327 G4double* fWeight = new G4double[fNumber]; <<
328 <<
329 for(i = 1; i <= fNumber; ++i) // Loop over <<
330 { <<
331 nwt = std::cos(CLHEP::pi * (i - 0.25) / <<
332 (k + 0.5)); // Initial roo <<
333 326
334 do // loop of Newton's method << 327 const G4double tolerance = 1.6e-10 ;
335 { << 328 G4int i, j, k = nLegendre ;
336 temp1 = 1.0; << 329 G4int fNumber = (nLegendre + 1)/2 ;
337 temp2 = 0.0; << 330
338 for(j = 1; j <= k; ++j) << 331 if(2*fNumber != k)
339 { << 332 {
340 temp3 = temp2; << 333 G4Exception("Invalid (odd) n Legendre in G4Integrator<T,F>::Legendre") ;
341 temp2 = temp1; << 334 }
342 temp1 = ((2.0 * j - 1.0) * nwt * temp2 << 335
343 } << 336 G4double* fAbscissa = new G4double[fNumber] ;
344 temp = k * (nwt * temp1 - temp2) / (nwt << 337 G4double* fWeight = new G4double[fNumber] ;
345 nwt1 = nwt; << 338
346 nwt = nwt1 - temp1 / temp; // Newton's << 339 for(i=1;i<=fNumber;i++) // Loop over the desired roots
347 } while(std::fabs(nwt - nwt1) > tolerance) << 340 {
348 << 341 newton = cos(pi*(i - 0.25)/(k + 0.5)) ; // Initial root approximation
349 fAbscissa[fNumber - i] = nwt; << 342
350 fWeight[fNumber - i] = 2.0 / ((1.0 - nwt << 343 do // loop of Newton's method
351 } << 344 {
352 << 345 temp1 = 1.0 ;
353 // << 346 temp2 = 0.0 ;
354 // Now we ready to get integral << 347 for(j=1;j<=k;j++)
355 // << 348 {
356 << 349 temp3 = temp2 ;
357 xMean = 0.5 * (a + b); << 350 temp2 = temp1 ;
358 xDiff = 0.5 * (b - a); << 351 temp1 = ((2.0*j - 1.0)*newton*temp2 - (j - 1.0)*temp3)/j ;
359 integral = 0.0; << 352 }
360 for(i = 0; i < fNumber; ++i) << 353 temp = k*(newton*temp1 - temp2)/(newton*newton - 1.0) ;
361 { << 354 newton1 = newton ;
362 dx = xDiff * fAbscissa[i]; << 355 newton = newton1 - temp1/temp ; // Newton's method
363 integral += fWeight[i] * ((typeT.*f)(xMean << 356 }
364 } << 357 while(fabs(newton - newton1) > tolerance) ;
365 delete[] fAbscissa; << 358
366 delete[] fWeight; << 359 fAbscissa[fNumber-i] = newton ;
367 return integral *= xDiff; << 360 fWeight[fNumber-i] = 2.0/((1.0 - newton*newton)*temp*temp) ;
368 } << 361 }
>> 362 //
>> 363 // Now we ready to get integral
>> 364 //
>> 365
>> 366 xMean = 0.5*(a + b) ;
>> 367 xDiff = 0.5*(b - a) ;
>> 368 integral = 0.0 ;
>> 369 for(i=0;i<fNumber;i++)
>> 370 {
>> 371 dx = xDiff*fAbscissa[i] ;
>> 372 integral += fWeight[i]*( (typeT.*f)(xMean + dx) +
>> 373 (typeT.*f)(xMean - dx) ) ;
>> 374 }
>> 375 return integral *= xDiff ;
>> 376 }
369 377
370 ////////////////////////////////////////////// 378 ///////////////////////////////////////////////////////////////////////
371 // 379 //
372 // Convenient for using with the pointer 'this 380 // Convenient for using with the pointer 'this'
373 381
374 template <class T, class F> << 382 template <class T, class F> G4double
375 G4double G4Integrator<T, F>::Legendre(T* ptrT, << 383 G4Integrator<T,F>::Legendre( T* ptrT, F f, G4double a, G4double b, G4int nLegendre)
376 G4int nL <<
377 { 384 {
378 return Legendre(*ptrT, f, a, b, nLegendre); << 385 return Legendre(*ptrT,f,a,b,nLegendre) ;
379 } 386 }
380 387
381 ////////////////////////////////////////////// 388 ///////////////////////////////////////////////////////////////////////
382 // 389 //
383 // Convenient for using with global scope func 390 // Convenient for using with global scope function f
384 391
385 template <class T, class F> 392 template <class T, class F>
386 G4double G4Integrator<T, F>::Legendre(G4double << 393 G4double G4Integrator<T,F>::
387 G4double << 394 Legendre( G4double (*f)(G4double), G4double a, G4double b, G4int nLegendre)
388 { 395 {
389 G4double nwt, nwt1, temp1, temp2, temp3, tem << 396 G4double newton, newton1, temp1, temp2, temp3, temp ;
390 G4double xDiff, xMean, dx, integral; << 397 G4double xDiff, xMean, dx, integral ;
391 <<
392 const G4double tolerance = 1.6e-10; <<
393 G4int i, j, k = nLegendre; <<
394 G4int fNumber = (nLegendre + 1) / 2; <<
395 <<
396 if(2 * fNumber != k) <<
397 { <<
398 G4Exception("G4Integrator<T,F>::Legendre(. <<
399 FatalException, "Invalid (odd) <<
400 } <<
401 <<
402 G4double* fAbscissa = new G4double[fNumber]; <<
403 G4double* fWeight = new G4double[fNumber]; <<
404 <<
405 for(i = 1; i <= fNumber; i++) // Loop over <<
406 { <<
407 nwt = std::cos(CLHEP::pi * (i - 0.25) / <<
408 (k + 0.5)); // Initial roo <<
409 398
410 do // loop of Newton's method << 399 const G4double tolerance = 1.6e-10 ;
411 { << 400 G4int i, j, k = nLegendre ;
412 temp1 = 1.0; << 401 G4int fNumber = (nLegendre + 1)/2 ;
413 temp2 = 0.0; << 402
414 for(j = 1; j <= k; ++j) << 403 if(2*fNumber != k)
415 { << 404 {
416 temp3 = temp2; << 405 G4Exception("Invalid (odd) n Legendre in G4Integrator<T,F>::Legendre") ;
417 temp2 = temp1; << 406 }
418 temp1 = ((2.0 * j - 1.0) * nwt * temp2 << 407
419 } << 408 G4double* fAbscissa = new G4double[fNumber] ;
420 temp = k * (nwt * temp1 - temp2) / (nwt << 409 G4double* fWeight = new G4double[fNumber] ;
421 nwt1 = nwt; << 410
422 nwt = nwt1 - temp1 / temp; // Newton's << 411 for(i=1;i<=fNumber;i++) // Loop over the desired roots
423 } while(std::fabs(nwt - nwt1) > tolerance) << 412 {
424 << 413 newton = cos(pi*(i - 0.25)/(k + 0.5)) ; // Initial root approximation
425 fAbscissa[fNumber - i] = nwt; << 414
426 fWeight[fNumber - i] = 2.0 / ((1.0 - nwt << 415 do // loop of Newton's method
427 } << 416 {
428 << 417 temp1 = 1.0 ;
429 // << 418 temp2 = 0.0 ;
430 // Now we ready to get integral << 419 for(j=1;j<=k;j++)
431 // << 420 {
432 << 421 temp3 = temp2 ;
433 xMean = 0.5 * (a + b); << 422 temp2 = temp1 ;
434 xDiff = 0.5 * (b - a); << 423 temp1 = ((2.0*j - 1.0)*newton*temp2 - (j - 1.0)*temp3)/j ;
435 integral = 0.0; << 424 }
436 for(i = 0; i < fNumber; ++i) << 425 temp = k*(newton*temp1 - temp2)/(newton*newton - 1.0) ;
437 { << 426 newton1 = newton ;
438 dx = xDiff * fAbscissa[i]; << 427 newton = newton1 - temp1/temp ; // Newton's method
439 integral += fWeight[i] * ((*f)(xMean + dx) << 428 }
440 } << 429 while(fabs(newton - newton1) > tolerance) ;
441 delete[] fAbscissa; << 430
442 delete[] fWeight; << 431 fAbscissa[fNumber-i] = newton ;
443 << 432 fWeight[fNumber-i] = 2.0/((1.0 - newton*newton)*temp*temp) ;
444 return integral *= xDiff; << 433 }
445 } << 434 //
>> 435 // Now we ready to get integral
>> 436 //
>> 437
>> 438 xMean = 0.5*(a + b) ;
>> 439 xDiff = 0.5*(b - a) ;
>> 440 integral = 0.0 ;
>> 441 for(i=0;i<fNumber;i++)
>> 442 {
>> 443 dx = xDiff*fAbscissa[i] ;
>> 444 integral += fWeight[i]*( (*f)(xMean + dx) + (*f)(xMean - dx) ) ;
>> 445 }
>> 446 return integral *= xDiff ;
>> 447 }
446 448
447 ////////////////////////////////////////////// 449 ////////////////////////////////////////////////////////////////////////////
448 // 450 //
449 // Returns the integral of the function to be 451 // Returns the integral of the function to be pointed by T::f between a and b,
450 // by ten point Gauss-Legendre integration: th 452 // by ten point Gauss-Legendre integration: the function is evaluated exactly
451 // ten times at interior points in the range o 453 // ten times at interior points in the range of integration. Since the weights
452 // and abscissas are, in this case, symmetric << 454 // and abscissas are, in this case, symmetric around the midpoint of the
453 // range of integration, there are actually on 455 // range of integration, there are actually only five distinct values of each
454 // Convenient for using with class object type 456 // Convenient for using with class object typeT
455 457
456 template <class T, class F> << 458 template <class T, class F>
457 G4double G4Integrator<T, F>::Legendre10(T& typ << 459 G4double G4Integrator<T,F>::Legendre10( T& typeT, F f,G4double a, G4double b)
458 { 460 {
459 G4int i; << 461 G4int i ;
460 G4double xDiff, xMean, dx, integral; << 462 G4double xDiff, xMean, dx, integral ;
461 << 463
462 // From Abramowitz M., Stegan I.A. 1964 , Ha << 464 // From Abramowitz M., Stegan I.A. 1964 , Handbook of Math... , p. 916
463 << 465
464 static const G4double abscissa[] = { 0.14887 << 466 static G4double abscissa[] = { 0.148874338981631, 0.433395394129247,
465 0.67940 << 467 0.679409568299024, 0.865063366688985,
466 0.97390 << 468 0.973906528517172 } ;
467 << 469
468 static const G4double weight[] = { 0.2955242 << 470 static G4double weight[] = { 0.295524224714753, 0.269266719309996,
469 0.2190863 << 471 0.219086362515982, 0.149451349150581,
470 0.0666713 << 472 0.066671344308688 } ;
471 xMean = 0.5 * (a + << 473 xMean = 0.5*(a + b) ;
472 xDiff = 0.5 * (b - << 474 xDiff = 0.5*(b - a) ;
473 integral = 0.0; << 475 integral = 0.0 ;
474 for(i = 0; i < 5; ++i) << 476 for(i=0;i<5;i++)
475 { << 477 {
476 dx = xDiff * abscissa[i]; << 478 dx = xDiff*abscissa[i] ;
477 integral += weight[i] * ((typeT.*f)(xMean << 479 integral += weight[i]*( (typeT.*f)(xMean + dx) + (typeT.*f)(xMean - dx)) ;
478 } << 480 }
479 return integral *= xDiff; << 481 return integral *= xDiff ;
480 } 482 }
481 483
482 ////////////////////////////////////////////// 484 ///////////////////////////////////////////////////////////////////////////
483 // 485 //
484 // Convenient for using with the pointer 'this 486 // Convenient for using with the pointer 'this'
485 487
486 template <class T, class F> << 488 template <class T, class F>
487 G4double G4Integrator<T, F>::Legendre10(T* ptr << 489 G4double G4Integrator<T,F>::Legendre10( T* ptrT, F f,G4double a, G4double b)
488 { 490 {
489 return Legendre10(*ptrT, f, a, b); << 491 return Legendre10(*ptrT,f,a,b) ;
490 } << 492 }
491 493
492 ////////////////////////////////////////////// 494 //////////////////////////////////////////////////////////////////////////
493 // 495 //
494 // Convenient for using with global scope func 496 // Convenient for using with global scope functions
495 497
496 template <class T, class F> << 498 template <class T, class F> G4double
497 G4double G4Integrator<T, F>::Legendre10(G4doub << 499 G4Integrator<T,F>::Legendre10( G4double (*f)(G4double), G4double a, G4double b)
498 G4doub <<
499 { 500 {
500 G4int i; << 501 G4int i ;
501 G4double xDiff, xMean, dx, integral; << 502 G4double xDiff, xMean, dx, integral ;
502 << 503
503 // From Abramowitz M., Stegan I.A. 1964 , Ha << 504 // From Abramowitz M., Stegan I.A. 1964 , Handbook of Math... , p. 916
504 << 505
505 static const G4double abscissa[] = { 0.14887 << 506 static G4double abscissa[] = { 0.148874338981631, 0.433395394129247,
506 0.67940 << 507 0.679409568299024, 0.865063366688985,
507 0.97390 << 508 0.973906528517172 } ;
508 << 509
509 static const G4double weight[] = { 0.2955242 << 510 static G4double weight[] = { 0.295524224714753, 0.269266719309996,
510 0.2190863 << 511 0.219086362515982, 0.149451349150581,
511 0.0666713 << 512 0.066671344308688 } ;
512 xMean = 0.5 * (a + << 513 xMean = 0.5*(a + b) ;
513 xDiff = 0.5 * (b - << 514 xDiff = 0.5*(b - a) ;
514 integral = 0.0; << 515 integral = 0.0 ;
515 for(i = 0; i < 5; ++i) << 516 for(i=0;i<5;i++)
516 { << 517 {
517 dx = xDiff * abscissa[i]; << 518 dx = xDiff*abscissa[i] ;
518 integral += weight[i] * ((*f)(xMean + dx) << 519 integral += weight[i]*( (*f)(xMean + dx) + (*f)(xMean - dx)) ;
519 } << 520 }
520 return integral *= xDiff; << 521 return integral *= xDiff ;
521 } 522 }
522 523
523 ////////////////////////////////////////////// 524 ///////////////////////////////////////////////////////////////////////
524 // 525 //
525 // Returns the integral of the function to be 526 // Returns the integral of the function to be pointed by T::f between a and b,
526 // by 96 point Gauss-Legendre integration: the 527 // by 96 point Gauss-Legendre integration: the function is evaluated exactly
527 // ten Times at interior points in the range o 528 // ten Times at interior points in the range of integration. Since the weights
528 // and abscissas are, in this case, symmetric << 529 // and abscissas are, in this case, symmetric around the midpoint of the
529 // range of integration, there are actually on 530 // range of integration, there are actually only five distinct values of each
530 // Convenient for using with some class object 531 // Convenient for using with some class object typeT
531 532
532 template <class T, class F> << 533 template <class T, class F>
533 G4double G4Integrator<T, F>::Legendre96(T& typ << 534 G4double G4Integrator<T,F>::Legendre96( T& typeT, F f,G4double a, G4double b)
534 { 535 {
535 G4int i; << 536 G4int i ;
536 G4double xDiff, xMean, dx, integral; << 537 G4double xDiff, xMean, dx, integral ;
537 << 538
538 // From Abramowitz M., Stegan I.A. 1964 , Ha << 539 // From Abramowitz M., Stegan I.A. 1964 , Handbook of Math... , p. 919
539 << 540
540 static const G4double abscissa[] = { << 541 static G4double
541 0.016276744849602969579, 0.048812985136049 << 542 abscissa[] = {
542 0.081297495464425558994, 0.113695850110665 << 543 0.016276744849602969579, 0.048812985136049731112,
543 0.145973714654896941989, 0.178096882367618 << 544 0.081297495464425558994, 0.113695850110665920911,
544 << 545 0.145973714654896941989, 0.178096882367618602759, // 6
545 0.210031310460567203603, 0.241743156163840 << 546
546 0.273198812591049141487, 0.304364944354496 << 547 0.210031310460567203603, 0.241743156163840012328,
547 0.335208522892625422616, 0.365696861472313 << 548 0.273198812591049141487, 0.304364944354496353024,
548 << 549 0.335208522892625422616, 0.365696861472313635031, // 12
549 0.395797649828908603285, 0.425478988407300 << 550
550 0.454709422167743008636, 0.483457973920596 << 551 0.395797649828908603285, 0.425478988407300545365,
551 0.511694177154667673586, 0.539388108324357 << 552 0.454709422167743008636, 0.483457973920596359768,
552 << 553 0.511694177154667673586, 0.539388108324357436227, // 18
553 0.566510418561397168404, 0.593032364777572 << 554
554 0.618925840125468570386, 0.644163403784967 << 555 0.566510418561397168404, 0.593032364777572080684,
555 0.668718310043916153953, 0.692564536642171 << 556 0.618925840125468570386, 0.644163403784967106798,
556 << 557 0.668718310043916153953, 0.692564536642171561344, // 24
557 0.715676812348967626225, 0.738030643744400 << 558
558 0.759602341176647498703, 0.780369043867433 << 559 0.715676812348967626225, 0.738030643744400132851,
559 0.800308744139140817229, 0.819400310737931 << 560 0.759602341176647498703, 0.780369043867433217604,
560 << 561 0.800308744139140817229, 0.819400310737931675539, // 30
561 0.837623511228187121494, 0.854959033434601 << 562
562 0.871388505909296502874, 0.886894517402420 << 563 0.837623511228187121494, 0.854959033434601455463,
563 0.901460635315852341319, 0.915071423120898 << 564 0.871388505909296502874, 0.886894517402420416057,
564 << 565 0.901460635315852341319, 0.915071423120898074206, // 36
565 0.927712456722308690965, 0.939370339752755 << 566
566 0.950032717784437635756, 0.959688291448742 << 567 0.927712456722308690965, 0.939370339752755216932,
567 0.968326828463264212174, 0.975939174585136 << 568 0.950032717784437635756, 0.959688291448742539300,
568 << 569 0.968326828463264212174, 0.975939174585136466453, // 42
569 0.982517263563014677447, 0.988054126329623 << 570
570 0.992543900323762624572, 0.995981842987209 << 571 0.982517263563014677447, 0.988054126329623799481,
571 0.998364375863181677724, 0.999689503883230 << 572 0.992543900323762624572, 0.995981842987209290650,
572 }; << 573 0.998364375863181677724, 0.999689503883230766828 // 48
573 << 574 } ;
574 static const G4double weight[] = { << 575
575 0.032550614492363166242, 0.032516118713868 << 576 static G4double
576 0.032447163714064269364, 0.032343822568575 << 577 weight[] = {
577 0.032206204794030250669, 0.032034456231992 << 578 0.032550614492363166242, 0.032516118713868835987,
578 << 579 0.032447163714064269364, 0.032343822568575928429,
579 0.031828758894411006535, 0.031589330770727 << 580 0.032206204794030250669, 0.032034456231992663218, // 6
580 0.031316425596862355813, 0.031010332586313 << 581
581 0.030671376123669149014, 0.030299915420827 << 582 0.031828758894411006535, 0.031589330770727168558,
582 << 583 0.031316425596862355813, 0.031010332586313837423,
583 0.029896344136328385984, 0.029461089958167 << 584 0.030671376123669149014, 0.030299915420827593794, // 12
584 0.028994614150555236543, 0.028497411065085 << 585
585 0.027970007616848334440, 0.027412962726029 << 586 0.029896344136328385984, 0.029461089958167905970,
586 << 587 0.028994614150555236543, 0.028497411065085385646,
587 0.026826866725591762198, 0.026212340735672 << 588 0.027970007616848334440, 0.027412962726029242823, // 18
588 0.025570036005349361499, 0.024900633222483 << 589
589 0.024204841792364691282, 0.023483399085926 << 590 0.026826866725591762198, 0.026212340735672413913,
590 << 591 0.025570036005349361499, 0.024900633222483610288,
591 0.022737069658329374001, 0.021966644438744 << 592 0.024204841792364691282, 0.023483399085926219842, // 24
592 0.021172939892191298988, 0.020356797154333 << 593
593 0.019519081140145022410, 0.018660679627411 << 594 0.022737069658329374001, 0.021966644438744349195,
594 << 595 0.021172939892191298988, 0.020356797154333324595,
595 0.017782502316045260838, 0.016885479864245 << 596 0.019519081140145022410, 0.018660679627411467385, // 30
596 0.015970562902562291381, 0.015038721026994 << 597
597 0.014090941772314860916, 0.013128229566961 << 598 0.017782502316045260838, 0.016885479864245172450,
598 << 599 0.015970562902562291381, 0.015038721026994938006,
599 0.012151604671088319635, 0.011162102099838 << 600 0.014090941772314860916, 0.013128229566961572637, // 36
600 0.010160770535008415758, 0.009148671230783 << 601
601 0.008126876925698759217, 0.007096470791153 << 602 0.012151604671088319635, 0.011162102099838498591,
602 << 603 0.010160770535008415758, 0.009148671230783386633,
603 0.006058545504235961683, 0.005014202742927 << 604 0.008126876925698759217, 0.007096470791153865269, // 42
604 0.003964554338444686674, 0.002910731817934 << 605
605 0.001853960788946921732, 0.000796792065552 << 606 0.006058545504235961683, 0.005014202742927517693,
606 }; << 607 0.003964554338444686674, 0.002910731817934946408,
607 xMean = 0.5 * (a + b); << 608 0.001853960788946921732, 0.000796792065552012429 // 48
608 xDiff = 0.5 * (b - a); << 609 } ;
609 integral = 0.0; << 610 xMean = 0.5*(a + b) ;
610 for(i = 0; i < 48; ++i) << 611 xDiff = 0.5*(b - a) ;
611 { << 612 integral = 0.0 ;
612 dx = xDiff * abscissa[i]; << 613 for(i=0;i<48;i++)
613 integral += weight[i] * ((typeT.*f)(xMean << 614 {
614 } << 615 dx = xDiff*abscissa[i] ;
615 return integral *= xDiff; << 616 integral += weight[i]*((typeT.*f)(xMean + dx) + (typeT.*f)(xMean - dx)) ;
>> 617 }
>> 618 return integral *= xDiff ;
616 } 619 }
617 620
618 ////////////////////////////////////////////// 621 ///////////////////////////////////////////////////////////////////////
619 // 622 //
620 // Convenient for using with the pointer 'this 623 // Convenient for using with the pointer 'this'
621 624
622 template <class T, class F> << 625 template <class T, class F>
623 G4double G4Integrator<T, F>::Legendre96(T* ptr << 626 G4double G4Integrator<T,F>::Legendre96( T* ptrT, F f,G4double a, G4double b)
624 { 627 {
625 return Legendre96(*ptrT, f, a, b); << 628 return Legendre96(*ptrT,f,a,b) ;
626 } << 629 }
627 630
628 ////////////////////////////////////////////// 631 ///////////////////////////////////////////////////////////////////////
629 // 632 //
630 // Convenient for using with global scope func << 633 // Convenient for using with global scope function f
631 634
632 template <class T, class F> << 635 template <class T, class F> G4double
633 G4double G4Integrator<T, F>::Legendre96(G4doub << 636 G4Integrator<T,F>::Legendre96( G4double (*f)(G4double), G4double a, G4double b)
634 G4doub <<
635 { 637 {
636 G4int i; << 638 G4int i ;
637 G4double xDiff, xMean, dx, integral; << 639 G4double xDiff, xMean, dx, integral ;
638 << 640
639 // From Abramowitz M., Stegan I.A. 1964 , Ha << 641 // From Abramowitz M., Stegan I.A. 1964 , Handbook of Math... , p. 919
640 << 642
641 static const G4double abscissa[] = { << 643 static G4double
642 0.016276744849602969579, 0.048812985136049 << 644 abscissa[] = {
643 0.081297495464425558994, 0.113695850110665 << 645 0.016276744849602969579, 0.048812985136049731112,
644 0.145973714654896941989, 0.178096882367618 << 646 0.081297495464425558994, 0.113695850110665920911,
645 << 647 0.145973714654896941989, 0.178096882367618602759, // 6
646 0.210031310460567203603, 0.241743156163840 << 648
647 0.273198812591049141487, 0.304364944354496 << 649 0.210031310460567203603, 0.241743156163840012328,
648 0.335208522892625422616, 0.365696861472313 << 650 0.273198812591049141487, 0.304364944354496353024,
649 << 651 0.335208522892625422616, 0.365696861472313635031, // 12
650 0.395797649828908603285, 0.425478988407300 << 652
651 0.454709422167743008636, 0.483457973920596 << 653 0.395797649828908603285, 0.425478988407300545365,
652 0.511694177154667673586, 0.539388108324357 << 654 0.454709422167743008636, 0.483457973920596359768,
653 << 655 0.511694177154667673586, 0.539388108324357436227, // 18
654 0.566510418561397168404, 0.593032364777572 << 656
655 0.618925840125468570386, 0.644163403784967 << 657 0.566510418561397168404, 0.593032364777572080684,
656 0.668718310043916153953, 0.692564536642171 << 658 0.618925840125468570386, 0.644163403784967106798,
657 << 659 0.668718310043916153953, 0.692564536642171561344, // 24
658 0.715676812348967626225, 0.738030643744400 << 660
659 0.759602341176647498703, 0.780369043867433 << 661 0.715676812348967626225, 0.738030643744400132851,
660 0.800308744139140817229, 0.819400310737931 << 662 0.759602341176647498703, 0.780369043867433217604,
661 << 663 0.800308744139140817229, 0.819400310737931675539, // 30
662 0.837623511228187121494, 0.854959033434601 << 664
663 0.871388505909296502874, 0.886894517402420 << 665 0.837623511228187121494, 0.854959033434601455463,
664 0.901460635315852341319, 0.915071423120898 << 666 0.871388505909296502874, 0.886894517402420416057,
665 << 667 0.901460635315852341319, 0.915071423120898074206, // 36
666 0.927712456722308690965, 0.939370339752755 << 668
667 0.950032717784437635756, 0.959688291448742 << 669 0.927712456722308690965, 0.939370339752755216932,
668 0.968326828463264212174, 0.975939174585136 << 670 0.950032717784437635756, 0.959688291448742539300,
669 << 671 0.968326828463264212174, 0.975939174585136466453, // 42
670 0.982517263563014677447, 0.988054126329623 << 672
671 0.992543900323762624572, 0.995981842987209 << 673 0.982517263563014677447, 0.988054126329623799481,
672 0.998364375863181677724, 0.999689503883230 << 674 0.992543900323762624572, 0.995981842987209290650,
673 }; << 675 0.998364375863181677724, 0.999689503883230766828 // 48
674 << 676 } ;
675 static const G4double weight[] = { << 677
676 0.032550614492363166242, 0.032516118713868 << 678 static G4double
677 0.032447163714064269364, 0.032343822568575 << 679 weight[] = {
678 0.032206204794030250669, 0.032034456231992 << 680 0.032550614492363166242, 0.032516118713868835987,
679 << 681 0.032447163714064269364, 0.032343822568575928429,
680 0.031828758894411006535, 0.031589330770727 << 682 0.032206204794030250669, 0.032034456231992663218, // 6
681 0.031316425596862355813, 0.031010332586313 << 683
682 0.030671376123669149014, 0.030299915420827 << 684 0.031828758894411006535, 0.031589330770727168558,
683 << 685 0.031316425596862355813, 0.031010332586313837423,
684 0.029896344136328385984, 0.029461089958167 << 686 0.030671376123669149014, 0.030299915420827593794, // 12
685 0.028994614150555236543, 0.028497411065085 << 687
686 0.027970007616848334440, 0.027412962726029 << 688 0.029896344136328385984, 0.029461089958167905970,
687 << 689 0.028994614150555236543, 0.028497411065085385646,
688 0.026826866725591762198, 0.026212340735672 << 690 0.027970007616848334440, 0.027412962726029242823, // 18
689 0.025570036005349361499, 0.024900633222483 << 691
690 0.024204841792364691282, 0.023483399085926 << 692 0.026826866725591762198, 0.026212340735672413913,
691 << 693 0.025570036005349361499, 0.024900633222483610288,
692 0.022737069658329374001, 0.021966644438744 << 694 0.024204841792364691282, 0.023483399085926219842, // 24
693 0.021172939892191298988, 0.020356797154333 << 695
694 0.019519081140145022410, 0.018660679627411 << 696 0.022737069658329374001, 0.021966644438744349195,
695 << 697 0.021172939892191298988, 0.020356797154333324595,
696 0.017782502316045260838, 0.016885479864245 << 698 0.019519081140145022410, 0.018660679627411467385, // 30
697 0.015970562902562291381, 0.015038721026994 << 699
698 0.014090941772314860916, 0.013128229566961 << 700 0.017782502316045260838, 0.016885479864245172450,
699 << 701 0.015970562902562291381, 0.015038721026994938006,
700 0.012151604671088319635, 0.011162102099838 << 702 0.014090941772314860916, 0.013128229566961572637, // 36
701 0.010160770535008415758, 0.009148671230783 << 703
702 0.008126876925698759217, 0.007096470791153 << 704 0.012151604671088319635, 0.011162102099838498591,
703 << 705 0.010160770535008415758, 0.009148671230783386633,
704 0.006058545504235961683, 0.005014202742927 << 706 0.008126876925698759217, 0.007096470791153865269, // 42
705 0.003964554338444686674, 0.002910731817934 << 707
706 0.001853960788946921732, 0.000796792065552 << 708 0.006058545504235961683, 0.005014202742927517693,
707 }; << 709 0.003964554338444686674, 0.002910731817934946408,
708 xMean = 0.5 * (a + b); << 710 0.001853960788946921732, 0.000796792065552012429 // 48
709 xDiff = 0.5 * (b - a); << 711 } ;
710 integral = 0.0; << 712 xMean = 0.5*(a + b) ;
711 for(i = 0; i < 48; ++i) << 713 xDiff = 0.5*(b - a) ;
712 { << 714 integral = 0.0 ;
713 dx = xDiff * abscissa[i]; << 715 for(i=0;i<48;i++)
714 integral += weight[i] * ((*f)(xMean + dx) << 716 {
715 } << 717 dx = xDiff*abscissa[i] ;
716 return integral *= xDiff; << 718 integral += weight[i]*((*f)(xMean + dx) + (*f)(xMean - dx)) ;
>> 719 }
>> 720 return integral *= xDiff ;
717 } 721 }
718 722
719 ////////////////////////////////////////////// 723 //////////////////////////////////////////////////////////////////////////////
720 // 724 //
721 // Methods involving Chebyshev polynomials << 725 // Methods involving Chebyshev polynomials
722 // 726 //
723 ////////////////////////////////////////////// 727 ///////////////////////////////////////////////////////////////////////////
724 // 728 //
725 // Integrates function pointed by T::f from a << 729 // Integrates function pointed by T::f from a to b by Gauss-Chebyshev
726 // quadrature method. 730 // quadrature method.
727 // Convenient for using with class object type 731 // Convenient for using with class object typeT
728 732
729 template <class T, class F> << 733 template <class T, class F> G4double
730 G4double G4Integrator<T, F>::Chebyshev(T& type << 734 G4Integrator<T,F>::Chebyshev( T& typeT, F f, G4double a,
731 G4int n << 735 G4double b, G4int nChebyshev )
732 { << 736 {
733 G4int i; << 737 G4int i ;
734 G4double xDiff, xMean, dx, integral = 0.0; << 738 G4double xDiff, xMean, dx, integral = 0.0 ;
735 << 739
736 G4int fNumber = nChebyshev; // Try to << 740 G4int fNumber = nChebyshev ; // Try to reduce fNumber twice ??
737 G4double cof = CLHEP::pi / fNumber; << 741 G4double cof = pi/fNumber ;
738 G4double* fAbscissa = new G4double[fNumber]; << 742 G4double* fAbscissa = new G4double[fNumber] ;
739 G4double* fWeight = new G4double[fNumber]; << 743 G4double* fWeight = new G4double[fNumber] ;
740 for(i = 0; i < fNumber; ++i) << 744 for(i=0;i<fNumber;i++)
741 { << 745 {
742 fAbscissa[i] = std::cos(cof * (i + 0.5)); << 746 fAbscissa[i] = cos(cof*(i + 0.5)) ;
743 fWeight[i] = cof * std::sqrt(1 - fAbscis << 747 fWeight[i] = cof*sqrt(1 - fAbscissa[i]*fAbscissa[i]) ;
744 } << 748 }
745 << 749 //
746 // << 750 // Now we ready to estimate the integral
747 // Now we ready to estimate the integral << 751 //
748 // << 752 xMean = 0.5*(a + b) ;
749 << 753 xDiff = 0.5*(b - a) ;
750 xMean = 0.5 * (a + b); << 754 for(i=0;i<fNumber;i++)
751 xDiff = 0.5 * (b - a); << 755 {
752 for(i = 0; i < fNumber; ++i) << 756 dx = xDiff*fAbscissa[i] ;
753 { << 757 integral += fWeight[i]*(typeT.*f)(xMean + dx) ;
754 dx = xDiff * fAbscissa[i]; << 758 }
755 integral += fWeight[i] * (typeT.*f)(xMean << 759 return integral *= xDiff ;
756 } <<
757 delete[] fAbscissa; <<
758 delete[] fWeight; <<
759 return integral *= xDiff; <<
760 } 760 }
761 761
762 ////////////////////////////////////////////// 762 ///////////////////////////////////////////////////////////////////////
763 // 763 //
764 // Convenient for using with 'this' pointer 764 // Convenient for using with 'this' pointer
765 765
766 template <class T, class F> << 766 template <class T, class F> G4double
767 G4double G4Integrator<T, F>::Chebyshev(T* ptrT << 767 G4Integrator<T,F>::Chebyshev( T* ptrT, F f, G4double a, G4double b, G4int n)
768 G4int n <<
769 { 768 {
770 return Chebyshev(*ptrT, f, a, b, n); << 769 return Chebyshev(*ptrT,f,a,b,n) ;
771 } << 770 }
772 771
773 ////////////////////////////////////////////// 772 ////////////////////////////////////////////////////////////////////////
774 // 773 //
775 // For use with global scope functions f << 774 // For use with global scope functions f
776 <<
777 template <class T, class F> <<
778 G4double G4Integrator<T, F>::Chebyshev(G4doubl <<
779 G4doubl <<
780 { <<
781 G4int i; <<
782 G4double xDiff, xMean, dx, integral = 0.0; <<
783 775
784 G4int fNumber = nChebyshev; // Try to << 776 template <class T, class F> G4double
785 G4double cof = CLHEP::pi / fNumber; << 777 G4Integrator<T,F>::Chebyshev( G4double (*f)(G4double),
786 G4double* fAbscissa = new G4double[fNumber]; << 778 G4double a, G4double b, G4int nChebyshev)
787 G4double* fWeight = new G4double[fNumber]; << 779 {
788 for(i = 0; i < fNumber; ++i) << 780 G4int i ;
789 { << 781 G4double xDiff, xMean, dx, integral = 0.0 ;
790 fAbscissa[i] = std::cos(cof * (i + 0.5)); << 782
791 fWeight[i] = cof * std::sqrt(1 - fAbscis << 783 G4int fNumber = nChebyshev ; // Try to reduce fNumber twice ??
792 } << 784 G4double cof = pi/fNumber ;
793 << 785 G4double* fAbscissa = new G4double[fNumber] ;
794 // << 786 G4double* fWeight = new G4double[fNumber] ;
795 // Now we ready to estimate the integral << 787 for(i=0;i<fNumber;i++)
796 // << 788 {
797 << 789 fAbscissa[i] = cos(cof*(i + 0.5)) ;
798 xMean = 0.5 * (a + b); << 790 fWeight[i] = cof*sqrt(1 - fAbscissa[i]*fAbscissa[i]) ;
799 xDiff = 0.5 * (b - a); << 791 }
800 for(i = 0; i < fNumber; ++i) << 792 //
801 { << 793 // Now we ready to estimate the integral
802 dx = xDiff * fAbscissa[i]; << 794 //
803 integral += fWeight[i] * (*f)(xMean + dx); << 795 xMean = 0.5*(a + b) ;
804 } << 796 xDiff = 0.5*(b - a) ;
805 delete[] fAbscissa; << 797 for(i=0;i<fNumber;i++)
806 delete[] fWeight; << 798 {
807 return integral *= xDiff; << 799 dx = xDiff*fAbscissa[i] ;
>> 800 integral += fWeight[i]*(*f)(xMean + dx) ;
>> 801 }
>> 802 return integral *= xDiff ;
808 } 803 }
809 804
810 ////////////////////////////////////////////// 805 //////////////////////////////////////////////////////////////////////
811 // 806 //
812 // Method involving Laguerre polynomials 807 // Method involving Laguerre polynomials
813 // 808 //
814 ////////////////////////////////////////////// 809 //////////////////////////////////////////////////////////////////////
815 // 810 //
816 // Integral from zero to infinity of std::pow( << 811 // Integral from zero to infinity of pow(x,alpha)*exp(-x)*f(x).
817 // The value of nLaguerre sets the accuracy. 812 // The value of nLaguerre sets the accuracy.
818 // The function creates arrays fAbscissa[0,.., << 813 // The function creates arrays fAbscissa[0,..,nLaguerre-1] and
819 // fWeight[0,..,nLaguerre-1] . << 814 // fWeight[0,..,nLaguerre-1] .
820 // Convenient for using with class object 'typ 815 // Convenient for using with class object 'typeT' and (typeT.*f) function
821 // (T::f) 816 // (T::f)
822 817
823 template <class T, class F> << 818 template <class T, class F> G4double
824 G4double G4Integrator<T, F>::Laguerre(T& typeT << 819 G4Integrator<T,F>::Laguerre( T& typeT, F f, G4double alpha, G4int nLaguerre )
825 G4int nL <<
826 { 820 {
827 const G4double tolerance = 1.0e-10; << 821 const G4double tolerance = 1.0e-10 ;
828 const G4int maxNumber = 12; << 822 const G4int maxNumber = 12 ;
829 G4int i, j, k; << 823 G4int i, j, k ;
830 G4double nwt = 0., nwt1, temp1, temp2, << 824 G4double newton, newton1, temp1, temp2, temp3, temp, cofi ;
831 G4double integral = 0.0; << 825 G4double integral = 0.0 ;
832 << 826
833 G4int fNumber = nLaguerre; << 827 G4int fNumber = nLaguerre ;
834 G4double* fAbscissa = new G4double[fNumber]; << 828 G4double* fAbscissa = new G4double[fNumber] ;
835 G4double* fWeight = new G4double[fNumber]; << 829 G4double* fWeight = new G4double[fNumber] ;
>> 830
>> 831 for(i=1;i<=fNumber;i++) // Loop over the desired roots
>> 832 {
>> 833 if(i == 1)
>> 834 {
>> 835 newton = (1.0 + alpha)*(3.0 + 0.92*alpha)/(1.0 + 2.4*fNumber + 1.8*alpha) ;
>> 836 }
>> 837 else if(i == 2)
>> 838 {
>> 839 newton += (15.0 + 6.25*alpha)/(1.0 + 0.9*alpha + 2.5*fNumber) ;
>> 840 }
>> 841 else
>> 842 {
>> 843 cofi = i - 2 ;
>> 844 newton += ((1.0+2.55*cofi)/(1.9*cofi) + 1.26*cofi*alpha/(1.0+3.5*cofi))*
>> 845 (newton - fAbscissa[i-3])/(1.0 + 0.3*alpha) ;
>> 846 }
>> 847 for(k=1;k<=maxNumber;k++)
>> 848 {
>> 849 temp1 = 1.0 ;
>> 850 temp2 = 0.0 ;
836 851
837 for(i = 1; i <= fNumber; ++i) // Loop over << 852 for(j=1;j<=fNumber;j++)
838 { << 853 {
839 if(i == 1) << 854 temp3 = temp2 ;
840 { << 855 temp2 = temp1 ;
841 nwt = (1.0 + alpha) * (3.0 + 0.92 * alph << 856 temp1 = ((2*j - 1 + alpha - newton)*temp2 - (j - 1 + alpha)*temp3)/j ;
842 (1.0 + 2.4 * fNumber + 1.8 * alpha << 857 }
843 } << 858 temp = (fNumber*temp1 - (fNumber +alpha)*temp2)/newton ;
844 else if(i == 2) << 859 newton1 = newton ;
845 { << 860 newton = newton1 - temp1/temp ;
846 nwt += (15.0 + 6.25 * alpha) / (1.0 + 0. << 861
847 } << 862 if(fabs(newton - newton1) <= tolerance)
848 else << 863 {
849 { << 864 break ;
850 cofi = i - 2; << 865 }
851 nwt += ((1.0 + 2.55 * cofi) / (1.9 * cof << 866 }
852 1.26 * cofi * alpha / (1.0 + 3.5 << 867 if(k > maxNumber)
853 (nwt - fAbscissa[i - 3]) / (1.0 + << 868 {
854 } << 869 G4Exception("Too many (>12) iterations in G4Integration::Laguerre") ;
855 for(k = 1; k <= maxNumber; ++k) << 870 }
856 { << 871
857 temp1 = 1.0; << 872 fAbscissa[i-1] = newton ;
858 temp2 = 0.0; << 873 fWeight[i-1] = -exp(GammaLogarithm(alpha + fNumber) -
859 << 874 GammaLogarithm((G4double)fNumber))/(temp*fNumber*temp2) ;
860 for(j = 1; j <= fNumber; ++j) << 875 }
861 { << 876 //
862 temp3 = temp2; << 877 // Integral evaluation
863 temp2 = temp1; << 878 //
864 temp1 = << 879 for(i=0;i<fNumber;i++)
865 ((2 * j - 1 + alpha - nwt) * temp2 - << 880 {
866 } << 881 integral += fWeight[i]*(typeT.*f)(fAbscissa[i]) ;
867 temp = (fNumber * temp1 - (fNumber + alp << 882 }
868 nwt1 = nwt; << 883 return integral ;
869 nwt = nwt1 - temp1 / temp; << 884 }
870 <<
871 if(std::fabs(nwt - nwt1) <= tolerance) <<
872 { <<
873 break; <<
874 } <<
875 } <<
876 if(k > maxNumber) <<
877 { <<
878 G4Exception("G4Integrator<T,F>::Laguerre <<
879 FatalException, "Too many (> <<
880 } <<
881 <<
882 fAbscissa[i - 1] = nwt; <<
883 fWeight[i - 1] = -std::exp(GammaLogarith <<
884 GammaLogarithm( <<
885 (temp * fNumber * temp2); <<
886 } <<
887 885
888 // <<
889 // Integral evaluation <<
890 // <<
891 886
892 for(i = 0; i < fNumber; ++i) <<
893 { <<
894 integral += fWeight[i] * (typeT.*f)(fAbsci <<
895 } <<
896 delete[] fAbscissa; <<
897 delete[] fWeight; <<
898 return integral; <<
899 } <<
900 887
901 ////////////////////////////////////////////// 888 //////////////////////////////////////////////////////////////////////
902 // 889 //
903 // 890 //
904 891
905 template <class T, class F> << 892 template <class T, class F> G4double
906 G4double G4Integrator<T, F>::Laguerre(T* ptrT, << 893 G4Integrator<T,F>::Laguerre( T* ptrT, F f, G4double alpha, G4int nLaguerre )
907 G4int nL <<
908 { 894 {
909 return Laguerre(*ptrT, f, alpha, nLaguerre); << 895 return Laguerre(*ptrT,f,alpha,nLaguerre) ;
910 } 896 }
911 897
912 ////////////////////////////////////////////// 898 ////////////////////////////////////////////////////////////////////////
913 // 899 //
914 // For use with global scope functions f << 900 // For use with global scope functions f
915 901
916 template <class T, class F> << 902 template <class T, class F> G4double
917 G4double G4Integrator<T, F>::Laguerre(G4double << 903 G4Integrator<T,F>::Laguerre( G4double (*f)(G4double),
918 G4int nL << 904 G4double alpha, G4int nLaguerre)
919 { << 905 {
920 const G4double tolerance = 1.0e-10; << 906 const G4double tolerance = 1.0e-10 ;
921 const G4int maxNumber = 12; << 907 const G4int maxNumber = 12 ;
922 G4int i, j, k; << 908 G4int i, j, k ;
923 G4double nwt = 0., nwt1, temp1, temp2, << 909 G4double newton, newton1, temp1, temp2, temp3, temp, cofi ;
924 G4double integral = 0.0; << 910 G4double integral = 0.0 ;
925 << 911
926 G4int fNumber = nLaguerre; << 912 G4int fNumber = nLaguerre ;
927 G4double* fAbscissa = new G4double[fNumber]; << 913 G4double* fAbscissa = new G4double[fNumber] ;
928 G4double* fWeight = new G4double[fNumber]; << 914 G4double* fWeight = new G4double[fNumber] ;
929 << 915
930 for(i = 1; i <= fNumber; ++i) // Loop over << 916 for(i=1;i<=fNumber;i++) // Loop over the desired roots
931 { << 917 {
932 if(i == 1) << 918 if(i == 1)
933 { << 919 {
934 nwt = (1.0 + alpha) * (3.0 + 0.92 * alph << 920 newton = (1.0 + alpha)*(3.0 + 0.92*alpha)/(1.0 + 2.4*fNumber + 1.8*alpha) ;
935 (1.0 + 2.4 * fNumber + 1.8 * alpha << 921 }
936 } << 922 else if(i == 2)
937 else if(i == 2) << 923 {
938 { << 924 newton += (15.0 + 6.25*alpha)/(1.0 + 0.9*alpha + 2.5*fNumber) ;
939 nwt += (15.0 + 6.25 * alpha) / (1.0 + 0. << 925 }
940 } << 926 else
941 else << 927 {
942 { << 928 cofi = i - 2 ;
943 cofi = i - 2; << 929 newton += ((1.0+2.55*cofi)/(1.9*cofi) + 1.26*cofi*alpha/(1.0+3.5*cofi))*
944 nwt += ((1.0 + 2.55 * cofi) / (1.9 * cof << 930 (newton - fAbscissa[i-3])/(1.0 + 0.3*alpha) ;
945 1.26 * cofi * alpha / (1.0 + 3.5 << 931 }
946 (nwt - fAbscissa[i - 3]) / (1.0 + << 932 for(k=1;k<=maxNumber;k++)
947 } << 933 {
948 for(k = 1; k <= maxNumber; ++k) << 934 temp1 = 1.0 ;
949 { << 935 temp2 = 0.0 ;
950 temp1 = 1.0; <<
951 temp2 = 0.0; <<
952 <<
953 for(j = 1; j <= fNumber; ++j) <<
954 { <<
955 temp3 = temp2; <<
956 temp2 = temp1; <<
957 temp1 = <<
958 ((2 * j - 1 + alpha - nwt) * temp2 - <<
959 } <<
960 temp = (fNumber * temp1 - (fNumber + alp <<
961 nwt1 = nwt; <<
962 nwt = nwt1 - temp1 / temp; <<
963 <<
964 if(std::fabs(nwt - nwt1) <= tolerance) <<
965 { <<
966 break; <<
967 } <<
968 } <<
969 if(k > maxNumber) <<
970 { <<
971 G4Exception("G4Integrator<T,F>::Laguerre <<
972 "Too many (>12) iterations." <<
973 } <<
974 <<
975 fAbscissa[i - 1] = nwt; <<
976 fWeight[i - 1] = -std::exp(GammaLogarith <<
977 GammaLogarithm( <<
978 (temp * fNumber * temp2); <<
979 } <<
980 <<
981 // <<
982 // Integral evaluation <<
983 // <<
984 936
985 for(i = 0; i < fNumber; i++) << 937 for(j=1;j<=fNumber;j++)
986 { << 938 {
987 integral += fWeight[i] * (*f)(fAbscissa[i] << 939 temp3 = temp2 ;
988 } << 940 temp2 = temp1 ;
989 delete[] fAbscissa; << 941 temp1 = ((2*j - 1 + alpha - newton)*temp2 - (j - 1 + alpha)*temp3)/j ;
990 delete[] fWeight; << 942 }
991 return integral; << 943 temp = (fNumber*temp1 - (fNumber +alpha)*temp2)/newton ;
>> 944 newton1 = newton ;
>> 945 newton = newton1 - temp1/temp ;
>> 946
>> 947 if(fabs(newton - newton1) <= tolerance)
>> 948 {
>> 949 break ;
>> 950 }
>> 951 }
>> 952 if(k > maxNumber)
>> 953 {
>> 954 G4Exception("Too many (>12) iterations in G4Integration::Laguerre") ;
>> 955 }
>> 956
>> 957 fAbscissa[i-1] = newton ;
>> 958 fWeight[i-1] = -exp(GammaLogarithm(alpha + fNumber) -
>> 959 GammaLogarithm((G4double)fNumber))/(temp*fNumber*temp2) ;
>> 960 }
>> 961 //
>> 962 // Integral evaluation
>> 963 //
>> 964 for(i=0;i<fNumber;i++)
>> 965 {
>> 966 integral += fWeight[i]*(*f)(fAbscissa[i]) ;
>> 967 }
>> 968 return integral ;
992 } 969 }
993 970
994 ////////////////////////////////////////////// 971 ///////////////////////////////////////////////////////////////////////
995 // 972 //
996 // Auxiliary function which returns the value << 973 // Auxiliary function which returns the value of log(gamma-function(x))
997 // Returns the value ln(Gamma(xx) for xx > 0. << 974 // Returns the value ln(Gamma(xx) for xx > 0. Full accuracy is obtained for
998 // xx > 1. For 0 < xx < 1. the reflection form 975 // xx > 1. For 0 < xx < 1. the reflection formula (6.1.4) can be used first.
999 // (Adapted from Numerical Recipes in C) 976 // (Adapted from Numerical Recipes in C)
1000 // 977 //
1001 978
1002 template <class T, class F> 979 template <class T, class F>
1003 G4double G4Integrator<T, F>::GammaLogarithm(G << 980 G4double G4Integrator<T,F>::GammaLogarithm(G4double xx)
1004 { 981 {
1005 static const G4double cof[6] = { 76.1800917 << 982 static G4double cof[6] = { 76.18009172947146, -86.50532032941677,
1006 24.0140982 << 983 24.01409824083091, -1.231739572450155,
1007 0.12086509 << 984 0.1208650973866179e-2, -0.5395239384953e-5 } ;
1008 G4int j; << 985 register HepInt j;
1009 G4double x = xx - 1.0; << 986 G4double x = xx - 1.0 ;
1010 G4double tmp = x + 5.5; << 987 G4double tmp = x + 5.5 ;
1011 tmp -= (x + 0.5) * std::log(tmp); << 988 tmp -= (x + 0.5) * log(tmp) ;
1012 G4double ser = 1.000000000190015; << 989 G4double ser = 1.000000000190015 ;
1013 990
1014 for(j = 0; j <= 5; ++j) << 991 for ( j = 0; j <= 5; j++ )
1015 { 992 {
1016 x += 1.0; << 993 x += 1.0 ;
1017 ser += cof[j] / x; << 994 ser += cof[j]/x ;
1018 } 995 }
1019 return -tmp + std::log(2.5066282746310005 * << 996 return -tmp + log(2.5066282746310005*ser) ;
1020 } 997 }
1021 998
1022 ///////////////////////////////////////////// 999 ///////////////////////////////////////////////////////////////////////
1023 // 1000 //
1024 // Method involving Hermite polynomials 1001 // Method involving Hermite polynomials
1025 // 1002 //
1026 ///////////////////////////////////////////// 1003 ///////////////////////////////////////////////////////////////////////
1027 // 1004 //
1028 // 1005 //
1029 // Gauss-Hermite method for integration of st << 1006 // Gauss-Hermite method for integration of exp(-x*x)*f(x)
1030 // from minus infinity to plus infinity . << 1007 // from minus infinity to plus infinity .
1031 // 1008 //
1032 1009
1033 template <class T, class F> << 1010 template <class T, class F>
1034 G4double G4Integrator<T, F>::Hermite(T& typeT << 1011 G4double G4Integrator<T,F>::Hermite( T& typeT, F f, G4int nHermite)
1035 { 1012 {
1036 const G4double tolerance = 1.0e-12; << 1013 const G4double tolerance = 1.0e-12 ;
1037 const G4int maxNumber = 12; << 1014 const G4int maxNumber = 12 ;
1038 << 1015
1039 G4int i, j, k; << 1016 G4int i, j, k ;
1040 G4double integral = 0.0; << 1017 G4double integral = 0.0 ;
1041 G4double nwt = 0., nwt1, temp1, temp2, << 1018 G4double newton, newton1, temp1, temp2, temp3, temp ;
1042 1019
1043 G4double piInMinusQ = << 1020 G4double piInMinusQ = pow(pi,-0.25) ; // 1.0/sqrt(sqrt(pi)) ??
1044 std::pow(CLHEP::pi, -0.25); // 1.0/std:: <<
1045 1021
1046 G4int fNumber = (nHermite + 1) / 2; << 1022 G4int fNumber = (nHermite +1)/2 ;
1047 G4double* fAbscissa = new G4double[fNumber] << 1023 G4double* fAbscissa = new G4double[fNumber] ;
1048 G4double* fWeight = new G4double[fNumber] << 1024 G4double* fWeight = new G4double[fNumber] ;
1049 <<
1050 for(i = 1; i <= fNumber; ++i) <<
1051 { <<
1052 if(i == 1) <<
1053 { <<
1054 nwt = std::sqrt((G4double)(2 * nHermite <<
1055 1.85575001 * std::pow((G4double)( <<
1056 } <<
1057 else if(i == 2) <<
1058 { <<
1059 nwt -= 1.14001 * std::pow((G4double) nH <<
1060 } <<
1061 else if(i == 3) <<
1062 { <<
1063 nwt = 1.86002 * nwt - 0.86002 * fAbscis <<
1064 } <<
1065 else if(i == 4) <<
1066 { <<
1067 nwt = 1.91001 * nwt - 0.91001 * fAbscis <<
1068 } <<
1069 else <<
1070 { <<
1071 nwt = 2.0 * nwt - fAbscissa[i - 3]; <<
1072 } <<
1073 for(k = 1; k <= maxNumber; ++k) <<
1074 { <<
1075 temp1 = piInMinusQ; <<
1076 temp2 = 0.0; <<
1077 <<
1078 for(j = 1; j <= nHermite; ++j) <<
1079 { <<
1080 temp3 = temp2; <<
1081 temp2 = temp1; <<
1082 temp1 = nwt * std::sqrt(2.0 / j) * te <<
1083 std::sqrt(((G4double)(j - 1)) <<
1084 } <<
1085 temp = std::sqrt((G4double) 2 * nHermit <<
1086 nwt1 = nwt; <<
1087 nwt = nwt1 - temp1 / temp; <<
1088 <<
1089 if(std::fabs(nwt - nwt1) <= tolerance) <<
1090 { <<
1091 break; <<
1092 } <<
1093 } <<
1094 if(k > maxNumber) <<
1095 { <<
1096 G4Exception("G4Integrator<T,F>::Hermite <<
1097 FatalException, "Too many ( <<
1098 } <<
1099 fAbscissa[i - 1] = nwt; <<
1100 fWeight[i - 1] = 2.0 / (temp * temp); <<
1101 } <<
1102 1025
1103 // << 1026 for(i=1;i<=fNumber;i++)
1104 // Integral calculation << 1027 {
1105 // << 1028 if(i == 1)
>> 1029 {
>> 1030 newton = sqrt((G4double)(2*nHermite + 1)) -
>> 1031 1.85575001*pow((G4double)(2*nHermite + 1),-0.16666999) ;
>> 1032 }
>> 1033 else if(i == 2)
>> 1034 {
>> 1035 newton -= 1.14001*pow((G4double)nHermite,0.425999)/newton ;
>> 1036 }
>> 1037 else if(i == 3)
>> 1038 {
>> 1039 newton = 1.86002*newton - 0.86002*fAbscissa[0] ;
>> 1040 }
>> 1041 else if(i == 4)
>> 1042 {
>> 1043 newton = 1.91001*newton - 0.91001*fAbscissa[1] ;
>> 1044 }
>> 1045 else
>> 1046 {
>> 1047 newton = 2.0*newton - fAbscissa[i - 3] ;
>> 1048 }
>> 1049 for(k=1;k<=maxNumber;k++)
>> 1050 {
>> 1051 temp1 = piInMinusQ ;
>> 1052 temp2 = 0.0 ;
1106 1053
1107 for(i = 0; i < fNumber; ++i) << 1054 for(j=1;j<=nHermite;j++)
1108 { << 1055 {
1109 integral += << 1056 temp3 = temp2 ;
1110 fWeight[i] * ((typeT.*f)(fAbscissa[i]) << 1057 temp2 = temp1 ;
1111 } << 1058 temp1 = newton*sqrt(2.0/j)*temp2 -
1112 delete[] fAbscissa; << 1059 sqrt(((G4double)(j - 1))/j)*temp3 ;
1113 delete[] fWeight; << 1060 }
1114 return integral; << 1061 temp = sqrt((G4double)2*nHermite)*temp2 ;
>> 1062 newton1 = newton ;
>> 1063 newton = newton1 - temp1/temp ;
>> 1064
>> 1065 if(fabs(newton - newton1) <= tolerance)
>> 1066 {
>> 1067 break ;
>> 1068 }
>> 1069 }
>> 1070 if(k > maxNumber)
>> 1071 {
>> 1072 G4Exception("Too many (>12) iterations in G4Integrator<T,F>::Hermite") ;
>> 1073 }
>> 1074 fAbscissa[i-1] = newton ;
>> 1075 fWeight[i-1] = 2.0/(temp*temp) ;
>> 1076 }
>> 1077 //
>> 1078 // Integral calculation
>> 1079 //
>> 1080 for(i=0;i<fNumber;i++)
>> 1081 {
>> 1082 integral += fWeight[i]*( (typeT.*f)(fAbscissa[i]) +
>> 1083 (typeT.*f)(-fAbscissa[i]) ) ;
>> 1084 }
>> 1085 return integral ;
1115 } 1086 }
1116 1087
>> 1088
1117 ///////////////////////////////////////////// 1089 ////////////////////////////////////////////////////////////////////////
1118 // 1090 //
1119 // For use with 'this' pointer 1091 // For use with 'this' pointer
1120 1092
1121 template <class T, class F> << 1093 template <class T, class F>
1122 G4double G4Integrator<T, F>::Hermite(T* ptrT, << 1094 G4double G4Integrator<T,F>::Hermite( T* ptrT, F f, G4int n)
1123 { 1095 {
1124 return Hermite(*ptrT, f, n); << 1096 return Hermite(*ptrT,f,n) ;
1125 } << 1097 }
1126 1098
1127 ///////////////////////////////////////////// 1099 ////////////////////////////////////////////////////////////////////////
1128 // 1100 //
1129 // For use with global scope f 1101 // For use with global scope f
1130 1102
1131 template <class T, class F> 1103 template <class T, class F>
1132 G4double G4Integrator<T, F>::Hermite(G4double << 1104 G4double G4Integrator<T,F>::Hermite( G4double (*f)(G4double), G4int nHermite)
1133 { 1105 {
1134 const G4double tolerance = 1.0e-12; << 1106 const G4double tolerance = 1.0e-12 ;
1135 const G4int maxNumber = 12; << 1107 const G4int maxNumber = 12 ;
1136 << 1108
1137 G4int i, j, k; << 1109 G4int i, j, k ;
1138 G4double integral = 0.0; << 1110 G4double integral = 0.0 ;
1139 G4double nwt = 0., nwt1, temp1, temp2, << 1111 G4double newton, newton1, temp1, temp2, temp3, temp ;
1140 << 1112
1141 G4double piInMinusQ = << 1113 G4double piInMinusQ = pow(pi,-0.25) ; // 1.0/sqrt(sqrt(pi)) ??
1142 std::pow(CLHEP::pi, -0.25); // 1.0/std:: << 1114
1143 << 1115 G4int fNumber = (nHermite +1)/2 ;
1144 G4int fNumber = (nHermite + 1) / 2; << 1116 G4double* fAbscissa = new G4double[fNumber] ;
1145 G4double* fAbscissa = new G4double[fNumber] << 1117 G4double* fWeight = new G4double[fNumber] ;
1146 G4double* fWeight = new G4double[fNumber] << 1118
1147 << 1119 for(i=1;i<=fNumber;i++)
1148 for(i = 1; i <= fNumber; ++i) << 1120 {
1149 { << 1121 if(i == 1)
1150 if(i == 1) << 1122 {
1151 { << 1123 newton = sqrt((G4double)(2*nHermite + 1)) -
1152 nwt = std::sqrt((G4double)(2 * nHermite << 1124 1.85575001*pow((G4double)(2*nHermite + 1),-0.16666999) ;
1153 1.85575001 * std::pow((G4double)( << 1125 }
1154 } << 1126 else if(i == 2)
1155 else if(i == 2) << 1127 {
1156 { << 1128 newton -= 1.14001*pow((G4double)nHermite,0.425999)/newton ;
1157 nwt -= 1.14001 * std::pow((G4double) nH << 1129 }
1158 } << 1130 else if(i == 3)
1159 else if(i == 3) << 1131 {
1160 { << 1132 newton = 1.86002*newton - 0.86002*fAbscissa[0] ;
1161 nwt = 1.86002 * nwt - 0.86002 * fAbscis << 1133 }
1162 } << 1134 else if(i == 4)
1163 else if(i == 4) << 1135 {
1164 { << 1136 newton = 1.91001*newton - 0.91001*fAbscissa[1] ;
1165 nwt = 1.91001 * nwt - 0.91001 * fAbscis << 1137 }
1166 } << 1138 else
1167 else << 1139 {
1168 { << 1140 newton = 2.0*newton - fAbscissa[i - 3] ;
1169 nwt = 2.0 * nwt - fAbscissa[i - 3]; << 1141 }
1170 } << 1142 for(k=1;k<=maxNumber;k++)
1171 for(k = 1; k <= maxNumber; ++k) << 1143 {
1172 { << 1144 temp1 = piInMinusQ ;
1173 temp1 = piInMinusQ; << 1145 temp2 = 0.0 ;
1174 temp2 = 0.0; <<
1175 <<
1176 for(j = 1; j <= nHermite; ++j) <<
1177 { <<
1178 temp3 = temp2; <<
1179 temp2 = temp1; <<
1180 temp1 = nwt * std::sqrt(2.0 / j) * te <<
1181 std::sqrt(((G4double)(j - 1)) <<
1182 } <<
1183 temp = std::sqrt((G4double) 2 * nHermit <<
1184 nwt1 = nwt; <<
1185 nwt = nwt1 - temp1 / temp; <<
1186 <<
1187 if(std::fabs(nwt - nwt1) <= tolerance) <<
1188 { <<
1189 break; <<
1190 } <<
1191 } <<
1192 if(k > maxNumber) <<
1193 { <<
1194 G4Exception("G4Integrator<T,F>::Hermite <<
1195 "Too many (>12) iterations. <<
1196 } <<
1197 fAbscissa[i - 1] = nwt; <<
1198 fWeight[i - 1] = 2.0 / (temp * temp); <<
1199 } <<
1200 <<
1201 // <<
1202 // Integral calculation <<
1203 // <<
1204 1146
1205 for(i = 0; i < fNumber; ++i) << 1147 for(j=1;j<=nHermite;j++)
1206 { << 1148 {
1207 integral += fWeight[i] * ((*f)(fAbscissa[ << 1149 temp3 = temp2 ;
1208 } << 1150 temp2 = temp1 ;
1209 delete[] fAbscissa; << 1151 temp1 = newton*sqrt(2.0/j)*temp2 -
1210 delete[] fWeight; << 1152 sqrt(((G4double)(j - 1))/j)*temp3 ;
1211 return integral; << 1153 }
>> 1154 temp = sqrt((G4double)2*nHermite)*temp2 ;
>> 1155 newton1 = newton ;
>> 1156 newton = newton1 - temp1/temp ;
>> 1157
>> 1158 if(fabs(newton - newton1) <= tolerance)
>> 1159 {
>> 1160 break ;
>> 1161 }
>> 1162 }
>> 1163 if(k > maxNumber)
>> 1164 {
>> 1165 G4Exception("Too many (>12) iterations in G4Integrator<T,F>::Hermite") ;
>> 1166 }
>> 1167 fAbscissa[i-1] = newton ;
>> 1168 fWeight[i-1] = 2.0/(temp*temp) ;
>> 1169 }
>> 1170 //
>> 1171 // Integral calculation
>> 1172 //
>> 1173 for(i=0;i<fNumber;i++)
>> 1174 {
>> 1175 integral += fWeight[i]*( (*f)(fAbscissa[i]) + (*f)(-fAbscissa[i]) ) ;
>> 1176 }
>> 1177 return integral ;
1212 } 1178 }
1213 1179
1214 ///////////////////////////////////////////// 1180 ////////////////////////////////////////////////////////////////////////////
1215 // 1181 //
1216 // Method involving Jacobi polynomials 1182 // Method involving Jacobi polynomials
1217 // 1183 //
1218 ///////////////////////////////////////////// 1184 ////////////////////////////////////////////////////////////////////////////
1219 // 1185 //
1220 // Gauss-Jacobi method for integration of ((1 1186 // Gauss-Jacobi method for integration of ((1-x)^alpha)*((1+x)^beta)*f(x)
1221 // from minus unit to plus unit . 1187 // from minus unit to plus unit .
1222 // 1188 //
1223 1189
1224 template <class T, class F> << 1190 template <class T, class F>
1225 G4double G4Integrator<T, F>::Jacobi(T& typeT, << 1191 G4double G4Integrator<T,F>::Jacobi( T& typeT, F f, G4double alpha,
1226 G4double << 1192 G4double beta, G4int nJacobi)
1227 { << 1193 {
1228 const G4double tolerance = 1.0e-12; << 1194 const G4double tolerance = 1.0e-12 ;
1229 const G4double maxNumber = 12; << 1195 const G4double maxNumber = 12 ;
1230 G4int i, k, j; << 1196 G4int i, k, j ;
1231 G4double alphaBeta, alphaReduced, betaReduc << 1197 G4double alphaBeta, alphaReduced, betaReduced, root1, root2, root3 ;
1232 << 1198 G4double a, b, c, newton1, newton2, newton3, newton, temp, root, rootTemp ;
1233 G4double a, b, c, nwt1, nwt2, nwt3, nwt, te << 1199
1234 << 1200 G4int fNumber = nJacobi ;
1235 G4int fNumber = nJacobi; << 1201 G4double* fAbscissa = new G4double[fNumber] ;
1236 G4double* fAbscissa = new G4double[fNumber] << 1202 G4double* fWeight = new G4double[fNumber] ;
1237 G4double* fWeight = new G4double[fNumber] << 1203
1238 << 1204 for (i=1;i<=nJacobi;i++)
1239 for(i = 1; i <= nJacobi; ++i) << 1205 {
1240 { << 1206 if (i == 1)
1241 if(i == 1) << 1207 {
1242 { << 1208 alphaReduced = alpha/nJacobi ;
1243 alphaReduced = alpha / nJacobi; << 1209 betaReduced = beta/nJacobi ;
1244 betaReduced = beta / nJacobi; << 1210 root1 = (1.0+alpha)*(2.78002/(4.0+nJacobi*nJacobi)+
1245 root1 = (1.0 + alpha) * (2.78002 << 1211 0.767999*alphaReduced/nJacobi) ;
1246 0.767999 * alp << 1212 root2 = 1.0+1.48*alphaReduced+0.96002*betaReduced +
1247 root2 = 1.0 + 1.48 * alphaReduce << 1213 0.451998*alphaReduced*alphaReduced +
1248 0.451998 * alphaReduced * alpha << 1214 0.83001*alphaReduced*betaReduced ;
1249 0.83001 * alphaReduced * betaRe << 1215 root = 1.0-root1/root2 ;
1250 root = 1.0 - root1 / root2; << 1216 }
1251 } << 1217 else if (i == 2)
1252 else if(i == 2) << 1218 {
1253 { << 1219 root1=(4.1002+alpha)/((1.0+alpha)*(1.0+0.155998*alpha)) ;
1254 root1 = (4.1002 + alpha) / ((1.0 + alph << 1220 root2=1.0+0.06*(nJacobi-8.0)*(1.0+0.12*alpha)/nJacobi ;
1255 root2 = 1.0 + 0.06 * (nJacobi - 8.0) * << 1221 root3=1.0+0.012002*beta*(1.0+0.24997*fabs(alpha))/nJacobi ;
1256 root3 = << 1222 root -= (1.0-root)*root1*root2*root3 ;
1257 1.0 + 0.012002 * beta * (1.0 + 0.2499 << 1223 }
1258 root -= (1.0 - root) * root1 * root2 * << 1224 else if (i == 3)
1259 } << 1225 {
1260 else if(i == 3) << 1226 root1=(1.67001+0.27998*alpha)/(1.0+0.37002*alpha) ;
1261 { << 1227 root2=1.0+0.22*(nJacobi-8.0)/nJacobi ;
1262 root1 = (1.67001 + 0.27998 * alpha) / ( << 1228 root3=1.0+8.0*beta/((6.28001+beta)*nJacobi*nJacobi) ;
1263 root2 = 1.0 + 0.22 * (nJacobi - 8.0) / << 1229 root -= (fAbscissa[0]-root)*root1*root2*root3 ;
1264 root3 = 1.0 + 8.0 * beta / ((6.28001 + << 1230 }
1265 root -= (fAbscissa[0] - root) * root1 * << 1231 else if (i == nJacobi-1)
1266 } << 1232 {
1267 else if(i == nJacobi - 1) << 1233 root1=(1.0+0.235002*beta)/(0.766001+0.118998*beta) ;
1268 { << 1234 root2=1.0/(1.0+0.639002*(nJacobi-4.0)/(1.0+0.71001*(nJacobi-4.0))) ;
1269 root1 = (1.0 + 0.235002 * beta) / (0.76 << 1235 root3=1.0/(1.0+20.0*alpha/((7.5+alpha)*nJacobi*nJacobi)) ;
1270 root2 = 1.0 / (1.0 + 0.639002 * (nJacob << 1236 root += (root-fAbscissa[nJacobi-4])*root1*root2*root3 ;
1271 (1.0 + 0.71001 * << 1237 }
1272 root3 = 1.0 / (1.0 + 20.0 * alpha / ((7 << 1238 else if (i == nJacobi)
1273 root += (root - fAbscissa[nJacobi - 4]) << 1239 {
1274 } << 1240 root1 = (1.0+0.37002*beta)/(1.67001+0.27998*beta) ;
1275 else if(i == nJacobi) << 1241 root2 = 1.0/(1.0+0.22*(nJacobi-8.0)/nJacobi) ;
1276 { << 1242 root3 = 1.0/(1.0+8.0*alpha/((6.28002+alpha)*nJacobi*nJacobi)) ;
1277 root1 = (1.0 + 0.37002 * beta) / (1.670 << 1243 root += (root-fAbscissa[nJacobi-3])*root1*root2*root3 ;
1278 root2 = 1.0 / (1.0 + 0.22 * (nJacobi - << 1244 }
1279 root3 = << 1245 else
1280 1.0 / (1.0 + 8.0 * alpha / ((6.28002 << 1246 {
1281 root += (root - fAbscissa[nJacobi - 3]) << 1247 root = 3.0*fAbscissa[i-2]-3.0*fAbscissa[i-3]+fAbscissa[i-4] ;
1282 } << 1248 }
1283 else << 1249 alphaBeta = alpha + beta ;
1284 { << 1250 for (k=1;k<=maxNumber;k++)
1285 root = 3.0 * fAbscissa[i - 2] - 3.0 * f << 1251 {
1286 } << 1252 temp = 2.0 + alphaBeta ;
1287 alphaBeta = alpha + beta; << 1253 newton1 = (alpha-beta+temp*root)/2.0 ;
1288 for(k = 1; k <= maxNumber; ++k) << 1254 newton2 = 1.0 ;
1289 { << 1255 for (j=2;j<=nJacobi;j++)
1290 temp = 2.0 + alphaBeta; << 1256 {
1291 nwt1 = (alpha - beta + temp * root) / 2 << 1257 newton3 = newton2 ;
1292 nwt2 = 1.0; << 1258 newton2 = newton1 ;
1293 for(j = 2; j <= nJacobi; ++j) << 1259 temp = 2*j+alphaBeta ;
1294 { << 1260 a = 2*j*(j+alphaBeta)*(temp-2.0) ;
1295 nwt3 = nwt2; << 1261 b = (temp-1.0)*(alpha*alpha-beta*beta+temp*(temp-2.0)*root) ;
1296 nwt2 = nwt1; << 1262 c = 2.0*(j-1+alpha)*(j-1+beta)*temp ;
1297 temp = 2 * j + alphaBeta; << 1263 newton1 = (b*newton2-c*newton3)/a ;
1298 a = 2 * j * (j + alphaBeta) * (tem << 1264 }
1299 b = (temp - 1.0) * << 1265 newton = (nJacobi*(alpha - beta - temp*root)*newton1 +
1300 (alpha * alpha - beta * beta + te << 1266 2.0*(nJacobi + alpha)*(nJacobi + beta)*newton2)/
1301 c = 2.0 * (j - 1 + alpha) * (j - 1 << 1267 (temp*(1.0 - root*root)) ;
1302 nwt1 = (b * nwt2 - c * nwt3) / a; << 1268 rootTemp = root ;
1303 } << 1269 root = rootTemp - newton1/newton ;
1304 nwt = (nJacobi * (alpha - beta - temp * << 1270 if (fabs(root-rootTemp) <= tolerance)
1305 2.0 * (nJacobi + alpha) * (nJaco << 1271 {
1306 (temp * (1.0 - root * root)); << 1272 break ;
1307 rootTemp = root; << 1273 }
1308 root = rootTemp - nwt1 / nwt; << 1274 }
1309 if(std::fabs(root - rootTemp) <= tolera << 1275 if (k > maxNumber)
1310 { << 1276 {
1311 break; << 1277 G4Exception("Too many iterations (>12) in G4Integrator<T,F>::Jacobi") ;
1312 } << 1278 }
1313 } << 1279 fAbscissa[i-1] = root ;
1314 if(k > maxNumber) << 1280 fWeight[i-1] = exp(GammaLogarithm((G4double)(alpha+nJacobi)) +
1315 { << 1281 GammaLogarithm((G4double)(beta+nJacobi)) -
1316 G4Exception("G4Integrator<T,F>::Jacobi( << 1282 GammaLogarithm((G4double)(nJacobi+1.0)) -
1317 FatalException, "Too many ( << 1283 GammaLogarithm((G4double)(nJacobi + alphaBeta + 1.0)))
1318 } << 1284 *temp*pow(2.0,alphaBeta)/(newton*newton2) ;
1319 fAbscissa[i - 1] = root; << 1285 }
1320 fWeight[i - 1] = << 1286 //
1321 std::exp(GammaLogarithm((G4double)(alph << 1287 // Calculation of the integral
1322 GammaLogarithm((G4double)(beta << 1288 //
1323 GammaLogarithm((G4double)(nJac << 1289 G4double integral = 0.0 ;
1324 GammaLogarithm((G4double)(nJac << 1290 for(i=0;i<fNumber;i++)
1325 temp * std::pow(2.0, alphaBeta) / (nwt << 1291 {
1326 } << 1292 integral += fWeight[i]*(typeT.*f)(fAbscissa[i]) ;
1327 << 1293 }
1328 // << 1294 return integral ;
1329 // Calculation of the integral <<
1330 // <<
1331 <<
1332 G4double integral = 0.0; <<
1333 for(i = 0; i < fNumber; ++i) <<
1334 { <<
1335 integral += fWeight[i] * (typeT.*f)(fAbsc <<
1336 } <<
1337 delete[] fAbscissa; <<
1338 delete[] fWeight; <<
1339 return integral; <<
1340 } 1295 }
1341 1296
>> 1297
1342 ///////////////////////////////////////////// 1298 /////////////////////////////////////////////////////////////////////////
1343 // 1299 //
1344 // For use with 'this' pointer 1300 // For use with 'this' pointer
1345 1301
1346 template <class T, class F> << 1302 template <class T, class F>
1347 G4double G4Integrator<T, F>::Jacobi(T* ptrT, << 1303 G4double G4Integrator<T,F>::Jacobi( T* ptrT, F f, G4double alpha,
1348 G4int n) << 1304 G4double beta, G4int n)
1349 { 1305 {
1350 return Jacobi(*ptrT, f, alpha, beta, n); << 1306 return Jacobi(*ptrT,f,alpha,beta,n) ;
1351 } << 1307 }
1352 1308
1353 ///////////////////////////////////////////// 1309 /////////////////////////////////////////////////////////////////////////
1354 // 1310 //
1355 // For use with global scope f << 1311 // For use with global scope f
1356 1312
1357 template <class T, class F> 1313 template <class T, class F>
1358 G4double G4Integrator<T, F>::Jacobi(G4double << 1314 G4double G4Integrator<T,F>::Jacobi( G4double (*f)(G4double), G4double alpha,
1359 G4double << 1315 G4double beta, G4int nJacobi)
1360 { 1316 {
1361 const G4double tolerance = 1.0e-12; << 1317 const G4double tolerance = 1.0e-12 ;
1362 const G4double maxNumber = 12; << 1318 const G4double maxNumber = 12 ;
1363 G4int i, k, j; << 1319 G4int i, k, j ;
1364 G4double alphaBeta, alphaReduced, betaReduc << 1320 G4double alphaBeta, alphaReduced, betaReduced, root1, root2, root3 ;
1365 << 1321 G4double a, b, c, newton1, newton2, newton3, newton, temp, root, rootTemp ;
1366 G4double a, b, c, nwt1, nwt2, nwt3, nwt, te << 1322
1367 << 1323 G4int fNumber = nJacobi ;
1368 G4int fNumber = nJacobi; << 1324 G4double* fAbscissa = new G4double[fNumber] ;
1369 G4double* fAbscissa = new G4double[fNumber] << 1325 G4double* fWeight = new G4double[fNumber] ;
1370 G4double* fWeight = new G4double[fNumber] << 1326
1371 << 1327 for (i=1;i<=nJacobi;i++)
1372 for(i = 1; i <= nJacobi; ++i) << 1328 {
1373 { << 1329 if (i == 1)
1374 if(i == 1) << 1330 {
1375 { << 1331 alphaReduced = alpha/nJacobi ;
1376 alphaReduced = alpha / nJacobi; << 1332 betaReduced = beta/nJacobi ;
1377 betaReduced = beta / nJacobi; << 1333 root1 = (1.0+alpha)*(2.78002/(4.0+nJacobi*nJacobi)+
1378 root1 = (1.0 + alpha) * (2.78002 << 1334 0.767999*alphaReduced/nJacobi) ;
1379 0.767999 * alp << 1335 root2 = 1.0+1.48*alphaReduced+0.96002*betaReduced +
1380 root2 = 1.0 + 1.48 * alphaReduce << 1336 0.451998*alphaReduced*alphaReduced +
1381 0.451998 * alphaReduced * alpha << 1337 0.83001*alphaReduced*betaReduced ;
1382 0.83001 * alphaReduced * betaRe << 1338 root = 1.0-root1/root2 ;
1383 root = 1.0 - root1 / root2; << 1339 }
1384 } << 1340 else if (i == 2)
1385 else if(i == 2) << 1341 {
1386 { << 1342 root1=(4.1002+alpha)/((1.0+alpha)*(1.0+0.155998*alpha)) ;
1387 root1 = (4.1002 + alpha) / ((1.0 + alph << 1343 root2=1.0+0.06*(nJacobi-8.0)*(1.0+0.12*alpha)/nJacobi ;
1388 root2 = 1.0 + 0.06 * (nJacobi - 8.0) * << 1344 root3=1.0+0.012002*beta*(1.0+0.24997*fabs(alpha))/nJacobi ;
1389 root3 = << 1345 root -= (1.0-root)*root1*root2*root3 ;
1390 1.0 + 0.012002 * beta * (1.0 + 0.2499 << 1346 }
1391 root -= (1.0 - root) * root1 * root2 * << 1347 else if (i == 3)
1392 } << 1348 {
1393 else if(i == 3) << 1349 root1=(1.67001+0.27998*alpha)/(1.0+0.37002*alpha) ;
1394 { << 1350 root2=1.0+0.22*(nJacobi-8.0)/nJacobi ;
1395 root1 = (1.67001 + 0.27998 * alpha) / ( << 1351 root3=1.0+8.0*beta/((6.28001+beta)*nJacobi*nJacobi) ;
1396 root2 = 1.0 + 0.22 * (nJacobi - 8.0) / << 1352 root -= (fAbscissa[0]-root)*root1*root2*root3 ;
1397 root3 = 1.0 + 8.0 * beta / ((6.28001 + << 1353 }
1398 root -= (fAbscissa[0] - root) * root1 * << 1354 else if (i == nJacobi-1)
1399 } << 1355 {
1400 else if(i == nJacobi - 1) << 1356 root1=(1.0+0.235002*beta)/(0.766001+0.118998*beta) ;
1401 { << 1357 root2=1.0/(1.0+0.639002*(nJacobi-4.0)/(1.0+0.71001*(nJacobi-4.0))) ;
1402 root1 = (1.0 + 0.235002 * beta) / (0.76 << 1358 root3=1.0/(1.0+20.0*alpha/((7.5+alpha)*nJacobi*nJacobi)) ;
1403 root2 = 1.0 / (1.0 + 0.639002 * (nJacob << 1359 root += (root-fAbscissa[nJacobi-4])*root1*root2*root3 ;
1404 (1.0 + 0.71001 * << 1360 }
1405 root3 = 1.0 / (1.0 + 20.0 * alpha / ((7 << 1361 else if (i == nJacobi)
1406 root += (root - fAbscissa[nJacobi - 4]) << 1362 {
1407 } << 1363 root1 = (1.0+0.37002*beta)/(1.67001+0.27998*beta) ;
1408 else if(i == nJacobi) << 1364 root2 = 1.0/(1.0+0.22*(nJacobi-8.0)/nJacobi) ;
1409 { << 1365 root3 = 1.0/(1.0+8.0*alpha/((6.28002+alpha)*nJacobi*nJacobi)) ;
1410 root1 = (1.0 + 0.37002 * beta) / (1.670 << 1366 root += (root-fAbscissa[nJacobi-3])*root1*root2*root3 ;
1411 root2 = 1.0 / (1.0 + 0.22 * (nJacobi - << 1367 }
1412 root3 = << 1368 else
1413 1.0 / (1.0 + 8.0 * alpha / ((6.28002 << 1369 {
1414 root += (root - fAbscissa[nJacobi - 3]) << 1370 root = 3.0*fAbscissa[i-2]-3.0*fAbscissa[i-3]+fAbscissa[i-4] ;
1415 } << 1371 }
1416 else << 1372 alphaBeta = alpha + beta ;
1417 { << 1373 for (k=1;k<=maxNumber;k++)
1418 root = 3.0 * fAbscissa[i - 2] - 3.0 * f << 1374 {
1419 } << 1375 temp = 2.0 + alphaBeta ;
1420 alphaBeta = alpha + beta; << 1376 newton1 = (alpha-beta+temp*root)/2.0 ;
1421 for(k = 1; k <= maxNumber; ++k) << 1377 newton2 = 1.0 ;
1422 { << 1378 for (j=2;j<=nJacobi;j++)
1423 temp = 2.0 + alphaBeta; << 1379 {
1424 nwt1 = (alpha - beta + temp * root) / 2 << 1380 newton3 = newton2 ;
1425 nwt2 = 1.0; << 1381 newton2 = newton1 ;
1426 for(j = 2; j <= nJacobi; ++j) << 1382 temp = 2*j+alphaBeta ;
1427 { << 1383 a = 2*j*(j+alphaBeta)*(temp-2.0) ;
1428 nwt3 = nwt2; << 1384 b = (temp-1.0)*(alpha*alpha-beta*beta+temp*(temp-2.0)*root) ;
1429 nwt2 = nwt1; << 1385 c = 2.0*(j-1+alpha)*(j-1+beta)*temp ;
1430 temp = 2 * j + alphaBeta; << 1386 newton1 = (b*newton2-c*newton3)/a ;
1431 a = 2 * j * (j + alphaBeta) * (tem << 1387 }
1432 b = (temp - 1.0) * << 1388 newton = (nJacobi*(alpha - beta - temp*root)*newton1 +
1433 (alpha * alpha - beta * beta + te << 1389 2.0*(nJacobi + alpha)*(nJacobi + beta)*newton2)/
1434 c = 2.0 * (j - 1 + alpha) * (j - 1 << 1390 (temp*(1.0 - root*root)) ;
1435 nwt1 = (b * nwt2 - c * nwt3) / a; << 1391 rootTemp = root ;
1436 } << 1392 root = rootTemp - newton1/newton ;
1437 nwt = (nJacobi * (alpha - beta - temp * << 1393 if (fabs(root-rootTemp) <= tolerance)
1438 2.0 * (nJacobi + alpha) * (nJaco << 1394 {
1439 (temp * (1.0 - root * root)); << 1395 break ;
1440 rootTemp = root; << 1396 }
1441 root = rootTemp - nwt1 / nwt; << 1397 }
1442 if(std::fabs(root - rootTemp) <= tolera << 1398 if (k > maxNumber)
1443 { << 1399 {
1444 break; << 1400 G4Exception("Too many iterations (>12) in G4Integrator<T,F>::Jacobi") ;
1445 } << 1401 }
1446 } << 1402 fAbscissa[i-1] = root ;
1447 if(k > maxNumber) << 1403 fWeight[i-1] = exp(GammaLogarithm((G4double)(alpha+nJacobi)) +
1448 { << 1404 GammaLogarithm((G4double)(beta+nJacobi)) -
1449 G4Exception("G4Integrator<T,F>::Jacobi( << 1405 GammaLogarithm((G4double)(nJacobi+1.0)) -
1450 "Too many (>12) iterations. << 1406 GammaLogarithm((G4double)(nJacobi + alphaBeta + 1.0)))
1451 } << 1407 *temp*pow(2.0,alphaBeta)/(newton*newton2) ;
1452 fAbscissa[i - 1] = root; << 1408 }
1453 fWeight[i - 1] = << 1409 //
1454 std::exp(GammaLogarithm((G4double)(alph << 1410 // Calculation of the integral
1455 GammaLogarithm((G4double)(beta << 1411 //
1456 GammaLogarithm((G4double)(nJac << 1412 G4double integral = 0.0 ;
1457 GammaLogarithm((G4double)(nJac << 1413 for(i=0;i<fNumber;i++)
1458 temp * std::pow(2.0, alphaBeta) / (nwt << 1414 {
1459 } << 1415 integral += fWeight[i]*(*f)(fAbscissa[i]) ;
>> 1416 }
>> 1417 return integral ;
>> 1418 }
1460 1419
1461 // <<
1462 // Calculation of the integral <<
1463 // <<
1464 1420
1465 G4double integral = 0.0; <<
1466 for(i = 0; i < fNumber; ++i) <<
1467 { <<
1468 integral += fWeight[i] * (*f)(fAbscissa[i <<
1469 } <<
1470 delete[] fAbscissa; <<
1471 delete[] fWeight; <<
1472 return integral; <<
1473 } <<
1474 1421
1475 // 1422 //
1476 // 1423 //
1477 ///////////////////////////////////////////// 1424 ///////////////////////////////////////////////////////////////////
>> 1425
>> 1426
>> 1427
>> 1428
1478 1429