1 |
/* |
2 |
************************************************************ |
3 |
* Copyright 2006 by ACcESS MNRF * |
4 |
* * |
5 |
* http://www.access.edu.au * |
6 |
* Primary Business: Queensland, Australia * |
7 |
* Licensed under the Open Software License version 3.0 * |
8 |
* http://www.opensource.org/licenses/osl-3.0.php * |
9 |
* * |
10 |
************************************************************ |
11 |
*/ |
12 |
|
13 |
/**************************************************************/ |
14 |
|
15 |
/* Some utility routines: */ |
16 |
|
17 |
/**************************************************************/ |
18 |
|
19 |
/* author: gross@access.edu.au */ |
20 |
/* Version: $Id$ */ |
21 |
|
22 |
/**************************************************************/ |
23 |
|
24 |
#include "Finley.h" |
25 |
#include "Util.h" |
26 |
|
27 |
#ifdef _OPENMP |
28 |
#include <omp.h> |
29 |
#endif |
30 |
|
31 |
/**************************************************************/ |
32 |
|
33 |
/* returns true if any of the values in the short array values is not equalt to Zero */ |
34 |
|
35 |
bool_t Finley_Util_anyNonZeroDouble(dim_t N, double* values) { |
36 |
dim_t q; |
37 |
for (q=0;q<N;++q) if (ABS(values[q])>0) return TRUE; |
38 |
return FALSE; |
39 |
} |
40 |
/**************************************************************/ |
41 |
|
42 |
/* gathers double values out from in by index: */ |
43 |
|
44 |
/* out(1:numData,1:len)=in(1:numData,index(1:len)) */ |
45 |
|
46 |
void Finley_Util_Gather_double(dim_t len,index_t* index,dim_t numData,double* in, double * out){ |
47 |
dim_t s,i; |
48 |
for (s=0;s<len;s++) { |
49 |
for (i=0;i<numData;i++) { |
50 |
out[INDEX2(i,s,numData)]=in[INDEX2(i,index[s],numData)]; |
51 |
} |
52 |
} |
53 |
} |
54 |
|
55 |
/**************************************************************/ |
56 |
|
57 |
|
58 |
/* gathers maybelong values out from in by index: */ |
59 |
|
60 |
/* out(1:numData,1:len)=in(1:numData,index(1:len)) */ |
61 |
|
62 |
void Finley_Util_Gather_int(dim_t len,index_t* index,dim_t numData, index_t* in, index_t * out){ |
63 |
dim_t s,i; |
64 |
for (s=0;s<len;s++) { |
65 |
for (i=0;i<numData;i++) { |
66 |
out[INDEX2(i,s,numData)]=in[INDEX2(i,index[s],numData)]; |
67 |
} |
68 |
} |
69 |
} |
70 |
|
71 |
/**************************************************************/ |
72 |
|
73 |
/* adds a vector in into out using and index. */ |
74 |
|
75 |
/* out(1:numData,index(1:len))+=in(1:numData,1:len) */ |
76 |
|
77 |
void Finley_Util_AddScatter(dim_t len,index_t* index,dim_t numData,double* in,double * out){ |
78 |
dim_t i,s; |
79 |
for (s=0;s<len;s++) { |
80 |
for(i=0;i<numData;i++) { |
81 |
#pragma omp atomic |
82 |
out[INDEX2(i,index[s],numData)]+=in[INDEX2(i,s,numData)]; |
83 |
} |
84 |
} |
85 |
} |
86 |
|
87 |
#ifdef PASO_MPI |
88 |
/* same as AddScatter(), but checks that value index[] is below an upper bound upperBound before |
89 |
addition. This is used to ensure that only the influence of local DOF is added */ |
90 |
/* out(1:numData,index[p])+=in(1:numData,p) |
91 |
where p = {k=1...len , index[k]<upperBound}*/ |
92 |
void Finley_Util_AddScatter_upperBound(dim_t len,index_t* index,dim_t numData,double* in,double * out, index_t upperBound){ |
93 |
dim_t i,s; |
94 |
for (s=0;s<len;s++) { |
95 |
for(i=0;i<numData;i++) { |
96 |
//#pragma omp atomic |
97 |
if( index[s]<upperBound ) |
98 |
out[INDEX2(i,index[s],numData)]+=in[INDEX2(i,s,numData)]; |
99 |
} |
100 |
} |
101 |
} |
102 |
|
103 |
|
104 |
#endif |
105 |
|
106 |
/* multiplies two matrices */ |
107 |
|
108 |
/* A(1:A1,1:A2)=B(1:A1,1:B2)*C(1:B2,1:A2) */ |
109 |
|
110 |
void Finley_Util_SmallMatMult(dim_t A1,dim_t A2, double* A, dim_t B2, double*B, double* C) { |
111 |
dim_t i,j,s; |
112 |
for (i=0;i<A1*A2;i++) A[i]=0; |
113 |
for (i=0;i<A1;i++) { |
114 |
for (j=0;j<A2;j++) { |
115 |
for (s=0;s<B2;s++) { |
116 |
A[INDEX2(i,j,A1)]+=B[INDEX2(i,s,A1)]*C[INDEX2(s,j,B2)]; |
117 |
} |
118 |
} |
119 |
} |
120 |
} |
121 |
|
122 |
/* multiplies a two sets of matries: */ |
123 |
|
124 |
/* A(1:A1,1:A2,i)=B(1:A1,1:B2,i)*C(1:B2,1:A2,i) i=1,len */ |
125 |
|
126 |
void Finley_Util_SmallMatSetMult(dim_t len,dim_t A1,dim_t A2, double* A, dim_t B2, double*B, double* C) { |
127 |
dim_t q,i,j,s; |
128 |
for (i=0;i<A1*A2*len;i++) A[i]=0; |
129 |
for (q=0;q<len;q++) { |
130 |
for (i=0;i<A1;i++) { |
131 |
for (j=0;j<A2;j++) { |
132 |
for (s=0;s<B2;s++) { |
133 |
A[INDEX3(i,j,q,A1,A2)]+=B[INDEX3(i,s,q,A1,B2)]*C[INDEX3(s,j,q,B2,A2)]; |
134 |
} |
135 |
} |
136 |
} |
137 |
} |
138 |
} |
139 |
/* inverts the set of dim x dim matrices A(:,:,1:len) with dim=1,2,3 */ |
140 |
/* the determinante is returned. */ |
141 |
|
142 |
void Finley_Util_InvertSmallMat(dim_t len,dim_t dim,double* A,double *invA, double* det){ |
143 |
dim_t q; |
144 |
register double D,A11,A12,A13,A21,A22,A23,A31,A32,A33; |
145 |
|
146 |
switch(dim) { |
147 |
case 1: |
148 |
for (q=0;q<len;q++) { |
149 |
D=A[q]; |
150 |
if (ABS(D) > 0 ){ |
151 |
det[q]=D; |
152 |
D=1./D; |
153 |
invA[q]=D; |
154 |
} else { |
155 |
Finley_setError(ZERO_DIVISION_ERROR,"__FILE__: Non-regular matrix"); |
156 |
return; |
157 |
} |
158 |
} |
159 |
break; |
160 |
|
161 |
case 2: |
162 |
for (q=0;q<len;q++) { |
163 |
A11=A[INDEX3(0,0,q,2,2)]; |
164 |
A12=A[INDEX3(0,1,q,2,2)]; |
165 |
A21=A[INDEX3(1,0,q,2,2)]; |
166 |
A22=A[INDEX3(1,1,q,2,2)]; |
167 |
|
168 |
D = A11*A22-A12*A21; |
169 |
if (ABS(D) > 0 ){ |
170 |
det[q]=D; |
171 |
D=1./D; |
172 |
invA[INDEX3(0,0,q,2,2)]= A22*D; |
173 |
invA[INDEX3(1,0,q,2,2)]=-A21*D; |
174 |
invA[INDEX3(0,1,q,2,2)]=-A12*D; |
175 |
invA[INDEX3(1,1,q,2,2)]= A11*D; |
176 |
} else { |
177 |
Finley_setError(ZERO_DIVISION_ERROR,"__FILE__: Non-regular matrix"); |
178 |
return; |
179 |
} |
180 |
} |
181 |
break; |
182 |
|
183 |
case 3: |
184 |
for (q=0;q<len;q++) { |
185 |
A11=A[INDEX3(0,0,q,3,3)]; |
186 |
A21=A[INDEX3(1,0,q,3,3)]; |
187 |
A31=A[INDEX3(2,0,q,3,3)]; |
188 |
A12=A[INDEX3(0,1,q,3,3)]; |
189 |
A22=A[INDEX3(1,1,q,3,3)]; |
190 |
A32=A[INDEX3(2,1,q,3,3)]; |
191 |
A13=A[INDEX3(0,2,q,3,3)]; |
192 |
A23=A[INDEX3(1,2,q,3,3)]; |
193 |
A33=A[INDEX3(2,2,q,3,3)]; |
194 |
|
195 |
D = A11*(A22*A33-A23*A32)+ A12*(A31*A23-A21*A33)+A13*(A21*A32-A31*A22); |
196 |
if (ABS(D) > 0 ){ |
197 |
det[q] =D; |
198 |
D=1./D; |
199 |
invA[INDEX3(0,0,q,3,3)]=(A22*A33-A23*A32)*D; |
200 |
invA[INDEX3(1,0,q,3,3)]=(A31*A23-A21*A33)*D; |
201 |
invA[INDEX3(2,0,q,3,3)]=(A21*A32-A31*A22)*D; |
202 |
invA[INDEX3(0,1,q,3,3)]=(A13*A32-A12*A33)*D; |
203 |
invA[INDEX3(1,1,q,3,3)]=(A11*A33-A31*A13)*D; |
204 |
invA[INDEX3(2,1,q,3,3)]=(A12*A31-A11*A32)*D; |
205 |
invA[INDEX3(0,2,q,3,3)]=(A12*A23-A13*A22)*D; |
206 |
invA[INDEX3(1,2,q,3,3)]=(A13*A21-A11*A23)*D; |
207 |
invA[INDEX3(2,2,q,3,3)]=(A11*A22-A12*A21)*D; |
208 |
} else { |
209 |
Finley_setError(ZERO_DIVISION_ERROR,"__FILE__: Non-regular matrix"); |
210 |
return; |
211 |
} |
212 |
} |
213 |
break; |
214 |
|
215 |
} |
216 |
return; |
217 |
} |
218 |
|
219 |
/* sets the derterminate of a set of dim x dim matrices A(:,:,1:len) with dim=1,2,3 */ |
220 |
|
221 |
void Finley_Util_DetOfSmallMat(dim_t len,dim_t dim,double* A, double* det){ |
222 |
dim_t q; |
223 |
register double A11,A12,A13,A21,A22,A23,A31,A32,A33; |
224 |
|
225 |
switch(dim) { |
226 |
case 1: |
227 |
for (q=0;q<len;q++) { |
228 |
det[q]=A[q]; |
229 |
} |
230 |
break; |
231 |
|
232 |
case 2: |
233 |
for (q=0;q<len;q++) { |
234 |
A11=A[INDEX3(0,0,q,2,2)]; |
235 |
A12=A[INDEX3(0,1,q,2,2)]; |
236 |
A21=A[INDEX3(1,0,q,2,2)]; |
237 |
A22=A[INDEX3(1,1,q,2,2)]; |
238 |
|
239 |
det[q] = A11*A22-A12*A21; |
240 |
} |
241 |
break; |
242 |
|
243 |
case 3: |
244 |
for (q=0;q<len;q++) { |
245 |
A11=A[INDEX3(0,0,q,3,3)]; |
246 |
A21=A[INDEX3(1,0,q,3,3)]; |
247 |
A31=A[INDEX3(2,0,q,3,3)]; |
248 |
A12=A[INDEX3(0,1,q,3,3)]; |
249 |
A22=A[INDEX3(1,1,q,3,3)]; |
250 |
A32=A[INDEX3(2,1,q,3,3)]; |
251 |
A13=A[INDEX3(0,2,q,3,3)]; |
252 |
A23=A[INDEX3(1,2,q,3,3)]; |
253 |
A33=A[INDEX3(2,2,q,3,3)]; |
254 |
|
255 |
det[q] = A11*(A22*A33-A23*A32)+ A12*(A31*A23-A21*A33)+A13*(A21*A32-A31*A22); |
256 |
} |
257 |
break; |
258 |
|
259 |
} |
260 |
return; |
261 |
} |
262 |
/* returns the normalized vector Normal[dim,len] orthogonal to A(:,0,q) and A(:,1,q) in the case of dim=3 */ |
263 |
/* or the vector A(:,0,q) in the case of dim=2 */ |
264 |
|
265 |
void Finley_NormalVector(dim_t len, dim_t dim, dim_t dim1, double* A,double* Normal) { |
266 |
dim_t q; |
267 |
register double A11,A12,CO_A13,A21,A22,CO_A23,A31,A32,CO_A33,length,invlength; |
268 |
|
269 |
switch(dim) { |
270 |
case 1: |
271 |
for (q=0;q<len;q++) Normal[q] =1; |
272 |
break; |
273 |
case 2: |
274 |
for (q=0;q<len;q++) { |
275 |
A11=A[INDEX3(0,0,q,2,dim1)]; |
276 |
A21=A[INDEX3(1,0,q,2,dim1)]; |
277 |
length = sqrt(A11*A11+A21*A21); |
278 |
if (! length>0) { |
279 |
Finley_setError(ZERO_DIVISION_ERROR,"__FILE__: area equals zero."); |
280 |
return; |
281 |
} else { |
282 |
invlength=1./length; |
283 |
Normal[INDEX2(0,q,2)]=A21*invlength; |
284 |
Normal[INDEX2(1,q,2)]=-A11*invlength; |
285 |
} |
286 |
} |
287 |
break; |
288 |
case 3: |
289 |
for (q=0;q<len;q++) { |
290 |
A11=A[INDEX3(0,0,q,3,dim1)]; |
291 |
A21=A[INDEX3(1,0,q,3,dim1)]; |
292 |
A31=A[INDEX3(2,0,q,3,dim1)]; |
293 |
A12=A[INDEX3(0,1,q,3,dim1)]; |
294 |
A22=A[INDEX3(1,1,q,3,dim1)]; |
295 |
A32=A[INDEX3(2,1,q,3,dim1)]; |
296 |
CO_A13=A21*A32-A31*A22; |
297 |
CO_A23=A31*A12-A11*A32; |
298 |
CO_A33=A11*A22-A21*A12; |
299 |
length=sqrt(CO_A13*CO_A13+CO_A23*CO_A23+CO_A33*CO_A33); |
300 |
if (! length>0) { |
301 |
Finley_setError(ZERO_DIVISION_ERROR,"__FILE__: area equals zero."); |
302 |
return; |
303 |
} else { |
304 |
invlength=1./length; |
305 |
Normal[INDEX2(0,q,3)]=CO_A13*invlength; |
306 |
Normal[INDEX2(1,q,3)]=CO_A23*invlength; |
307 |
Normal[INDEX2(2,q,3)]=CO_A33*invlength; |
308 |
} |
309 |
|
310 |
} |
311 |
break; |
312 |
|
313 |
} |
314 |
return; |
315 |
} |
316 |
|
317 |
/* return the length of the vector which is orthogonal to the vectors A(:,0,q) and A(:,1,q) in the case of dim=3 */ |
318 |
/* or the vector A(:,0,q) in the case of dim=2 */ |
319 |
|
320 |
void Finley_LengthOfNormalVector(dim_t len, dim_t dim, dim_t dim1, double* A,double* length) { |
321 |
dim_t q; |
322 |
double A11,A12,CO_A13,A21,A22,CO_A23,A31,A32,CO_A33; |
323 |
|
324 |
switch(dim) { |
325 |
case 1: |
326 |
for (q=0;q<len;q++) length[q] =1; |
327 |
break; |
328 |
case 2: |
329 |
for (q=0;q<len;q++) { |
330 |
A11=A[INDEX3(0,0,q,2,dim1)]; |
331 |
A21=A[INDEX3(1,0,q,2,dim1)]; |
332 |
length[q] = sqrt(A11*A11+A21*A21); |
333 |
} |
334 |
break; |
335 |
case 3: |
336 |
for (q=0;q<len;q++) { |
337 |
A11=A[INDEX3(0,0,q,3,dim1)]; |
338 |
A21=A[INDEX3(1,0,q,3,dim1)]; |
339 |
A31=A[INDEX3(2,0,q,3,dim1)]; |
340 |
A12=A[INDEX3(0,1,q,3,dim1)]; |
341 |
A22=A[INDEX3(1,1,q,3,dim1)]; |
342 |
A32=A[INDEX3(2,1,q,3,dim1)]; |
343 |
CO_A13=A21*A32-A31*A22; |
344 |
CO_A23=A31*A12-A11*A32; |
345 |
CO_A33=A11*A22-A21*A12; |
346 |
length[q]=sqrt(CO_A13*CO_A13+CO_A23*CO_A23+CO_A33*CO_A33); |
347 |
} |
348 |
break; |
349 |
|
350 |
} |
351 |
return; |
352 |
} |
353 |
|
354 |
/* inverts the map map of length len */ |
355 |
/* there is no range checking! */ |
356 |
/* at output Map[invMap[i]]=i for i=0:lenInvMap */ |
357 |
|
358 |
void Finley_Util_InvertMap(dim_t lenInvMap, index_t* invMap,dim_t lenMap, index_t* Map) { |
359 |
dim_t i; |
360 |
for (i=0;i<lenInvMap;i++) invMap[i]=0; |
361 |
for (i=0;i<lenMap;i++) { |
362 |
if (Map[i]>=0) invMap[Map[i]]=i; |
363 |
} |
364 |
} |
365 |
|
366 |
/* orders a Finley_Util_ValueAndIndex array by value */ |
367 |
/* it is assumed that n is large */ |
368 |
|
369 |
int Finley_Util_ValueAndIndex_compar(const void *arg1 , const void *arg2 ) { |
370 |
Finley_Util_ValueAndIndex *e1,*e2; |
371 |
e1=(Finley_Util_ValueAndIndex*) arg1; |
372 |
e2=(Finley_Util_ValueAndIndex*) arg2; |
373 |
if (e1->value < e2->value) return -1; |
374 |
if (e1->value > e2->value) return 1; |
375 |
if (e1->index < e2->index) return -1; |
376 |
if (e1->index > e2->index) return 1; |
377 |
|
378 |
return 0; |
379 |
} |
380 |
|
381 |
void Finley_Util_sortValueAndIndex(dim_t n,Finley_Util_ValueAndIndex* array) { |
382 |
/* OMP : needs parallelization !*/ |
383 |
qsort(array,n,sizeof(Finley_Util_ValueAndIndex),Finley_Util_ValueAndIndex_compar); |
384 |
} |
385 |
|
386 |
|
387 |
/**************************************************************/ |
388 |
|
389 |
/* calculates the minimum value from a dim X N integer array */ |
390 |
|
391 |
index_t Finley_Util_getMinInt(dim_t dim,dim_t N,index_t* values) { |
392 |
dim_t i,j; |
393 |
index_t out,out_local; |
394 |
out=INDEX_T_MAX; |
395 |
if (values!=NULL && dim*N>0 ) { |
396 |
out=values[0]; |
397 |
#pragma omp parallel private(out_local) |
398 |
{ |
399 |
out_local=out; |
400 |
#pragma omp for private(i,j) schedule(static) |
401 |
for (j=0;j<N;j++) { |
402 |
for (i=0;i<dim;i++) out_local=MIN(out_local,values[INDEX2(i,j,dim)]); |
403 |
} |
404 |
#pragma omp critical |
405 |
out=MIN(out_local,out); |
406 |
} |
407 |
} |
408 |
return out; |
409 |
} |
410 |
|
411 |
/* calculates the maximum value from a dim X N integer array */ |
412 |
|
413 |
index_t Finley_Util_getMaxInt(dim_t dim,dim_t N,index_t* values) { |
414 |
dim_t i,j; |
415 |
index_t out,out_local; |
416 |
out=-INDEX_T_MAX; |
417 |
if (values!=NULL && dim*N>0 ) { |
418 |
out=values[0]; |
419 |
#pragma omp parallel private(out_local) |
420 |
{ |
421 |
out_local=out; |
422 |
#pragma omp for private(i,j) schedule(static) |
423 |
for (j=0;j<N;j++) { |
424 |
for (i=0;i<dim;i++) out_local=MAX(out_local,values[INDEX2(i,j,dim)]); |
425 |
} |
426 |
#pragma omp critical |
427 |
out=MAX(out_local,out); |
428 |
} |
429 |
} |
430 |
return out; |
431 |
} |
432 |
|
433 |
/* set the index of the positive entries in mask. The length of index is returned. */ |
434 |
|
435 |
dim_t Finley_Util_packMask(dim_t N,index_t* mask,index_t* index) { |
436 |
dim_t out,k; |
437 |
out=0; |
438 |
/*OMP */ |
439 |
for (k=0;k<N;k++) { |
440 |
if (mask[k]>=0) { |
441 |
index[out]=k; |
442 |
out++; |
443 |
} |
444 |
} |
445 |
return out; |
446 |
} |
447 |
|
448 |
/* returns true if array contains value */ |
449 |
bool_t Finley_Util_isAny(dim_t N,index_t* array,index_t value) { |
450 |
bool_t out=FALSE; |
451 |
dim_t i; |
452 |
#pragma omp parallel for private(i) schedule(static) reduction(||:out) |
453 |
for (i=0;i<N;i++) out = out || (array[i]==value); |
454 |
return out; |
455 |
} |
456 |
/* calculates the cummultative sum in array and returns the total sum */ |
457 |
index_t Finley_Util_cumsum(dim_t N,index_t* array) { |
458 |
index_t out=0,tmp; |
459 |
dim_t i; |
460 |
#ifdef _OPENMP |
461 |
index_t partial_sums[omp_get_max_threads()],sum; |
462 |
#pragma omp parallel private(sum,i,tmp) |
463 |
{ |
464 |
sum=0; |
465 |
#pragma omp for schedule(static) |
466 |
for (i=0;i<N;++i) sum+=array[i]; |
467 |
partial_sums[omp_get_thread_num()]=sum; |
468 |
#pragma omp barrier |
469 |
#pragma omp master |
470 |
{ |
471 |
out=0; |
472 |
for (i=0;i<omp_get_max_threads();++i) { |
473 |
tmp=out; |
474 |
out+=partial_sums[i]; |
475 |
partial_sums[i]=tmp; |
476 |
} |
477 |
} |
478 |
#pragma omp barrier |
479 |
sum=partial_sums[omp_get_thread_num()]; |
480 |
#pragma omp for schedule(static) |
481 |
for (i=0;i<N;++i) { |
482 |
tmp=sum; |
483 |
sum+=array[i]; |
484 |
array[i]=tmp; |
485 |
} |
486 |
} |
487 |
#else |
488 |
for (i=0;i<N;++i) { |
489 |
tmp=out; |
490 |
out+=array[i]; |
491 |
array[i]=tmp; |
492 |
} |
493 |
#endif |
494 |
return out; |
495 |
} |
496 |
|
497 |
void Finley_copyDouble(dim_t n,double* source, double* target) { |
498 |
dim_t i; |
499 |
for (i=0;i<n;i++) target[i]=source[i]; |
500 |
} |
501 |
|
502 |
#ifdef PASO_MPI |
503 |
void Finley_printDoubleArray( FILE *fid, dim_t n, double *array, char *name ) |
504 |
{ |
505 |
index_t i; |
506 |
|
507 |
if( name ) |
508 |
fprintf( fid, "%s [ ", name ); |
509 |
else |
510 |
fprintf( fid, "[ " ); |
511 |
for( i=0; i<(n<30 ? n : 30); i++ ) |
512 |
fprintf( fid, "%g ", array[i] ); |
513 |
if( n>=30 ) |
514 |
fprintf( fid, "... " ); |
515 |
fprintf( fid, "]\n" ); |
516 |
} |
517 |
void Finley_printIntArray( FILE *fid, dim_t n, int *array, char *name ) |
518 |
{ |
519 |
index_t i; |
520 |
|
521 |
if( name ) |
522 |
fprintf( fid, "%s [ ", name ); |
523 |
else |
524 |
fprintf( fid, "[ " ); |
525 |
for( i=0; i<(n<30 ? n : 30); i++ ) |
526 |
fprintf( fid, "%d ", array[i] ); |
527 |
if( n>=30 ) |
528 |
fprintf( fid, "... " ); |
529 |
fprintf( fid, "]\n" ); |
530 |
} |
531 |
void Finley_printMaskArray( FILE *fid, dim_t n, int *array, char *name ) |
532 |
{ |
533 |
index_t i; |
534 |
|
535 |
if( name ) |
536 |
fprintf( fid, "%s [ ", name ); |
537 |
else |
538 |
fprintf( fid, "[ " ); |
539 |
for( i=0; i<(n<30 ? n : 30); i++ ) |
540 |
if( array[i]!=-1 ) |
541 |
fprintf( fid, "%d ", array[i] ); |
542 |
else |
543 |
fprintf( fid, "* " ); |
544 |
if( n>=30 ) |
545 |
fprintf( fid, "... " ); |
546 |
fprintf( fid, "]\n" ); |
547 |
} |
548 |
#endif |
549 |
|
550 |
/* |
551 |
* Revision 1.8 2005/08/12 01:45:43 jgs |
552 |
* |
553 |
* Revision 1.7.2.2 2005/09/07 06:26:22 gross |
554 |
* the solver from finley are put into the standalone package paso now |
555 |
* |
556 |
* Revision 1.7.2.1 2005/08/04 22:41:11 gross |
557 |
* some extra routines for finley that might speed-up RHS assembling in some cases (not actived right now) |
558 |
* |
559 |
* Revision 1.7 2005/07/08 04:07:59 jgs |
560 |
* Merge of development branch back to main trunk on 2005-07-08 |
561 |
* |
562 |
* Revision 1.1.1.1.2.4 2005/06/29 02:34:57 gross |
563 |
* some changes towards 64 integers in finley |
564 |
* |
565 |
* Revision 1.1.1.1.2.3 2005/03/02 23:35:06 gross |
566 |
* reimplementation of the ILU in Finley. block size>1 still needs some testing |
567 |
* |
568 |
* Revision 1.1.1.1.2.2 2005/02/18 02:27:31 gross |
569 |
* two function that will be used for a reimplementation of the ILU preconditioner |
570 |
* |
571 |
* Revision 1.1.1.1.2.1 2004/11/12 06:58:19 gross |
572 |
* a lot of changes to get the linearPDE class running: most important change is that there is no matrix format exposed to the user anymore. the format is chosen by the Domain according to the solver and symmetry |
573 |
* |
574 |
* Revision 1.1.1.1 2004/10/26 06:53:57 jgs |
575 |
* initial import of project esys2 |
576 |
* |
577 |
* Revision 1.3 2004/08/26 12:03:52 gross |
578 |
* Some other bug in Finley_Assemble_gradient fixed. |
579 |
* |
580 |
* Revision 1.2 2004/07/02 04:21:13 gross |
581 |
* Finley C code has been included |
582 |
* |
583 |
* Revision 1.1.1.1 2004/06/24 04:00:40 johng |
584 |
* Initial version of eys using boost-python. |
585 |
* |
586 |
* |
587 |
*/ |