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Thyra_VectorStdOpsTester_def.hpp
1// @HEADER
2// *****************************************************************************
3// Thyra: Interfaces and Support for Abstract Numerical Algorithms
4//
5// Copyright 2004 NTESS and the Thyra contributors.
6// SPDX-License-Identifier: BSD-3-Clause
7// *****************************************************************************
8// @HEADER
9
10#ifndef THYRA_VECTOR_STD_OPS_TESTER_HPP
11#define THYRA_VECTOR_STD_OPS_TESTER_HPP
12
13#include "Thyra_VectorStdOpsTester_decl.hpp"
14#include "Thyra_TestingTools.hpp"
15#include "RTOpPack_TOpSetAssendingValues.hpp"
16#include "Teuchos_TestingHelpers.hpp"
17#include "Teuchos_Assert.hpp"
18
19//#define THYRA_VECTOR_STD_OPS_TESTER_DUMP
20
21#ifdef THYRA_VECTOR_STD_OPS_TESTER_DUMP
22# include "RTOpPack_SPMD_apply_op.hpp"
23#endif // THYRA_VECTOR_STD_OPS_TESTER_DUMP
24
25
26namespace Thyra {
27
28
29// VectorStdOpsTesterComparable (using partial specialization to only do tests in some cases)
30
31
32template <bool isComparable, class Scalar>
33class VectorStdOpsTesterComparable {
34public:
35 static bool checkComparableStdOps(
36 const VectorSpaceBase<Scalar> &vecSpc,
37 const Ptr<VectorBase<Scalar> > &z,
38 const typename Teuchos::ScalarTraits<Scalar>::magnitudeType &error_tol,
39 const typename Teuchos::ScalarTraits<Scalar>::magnitudeType &warning_tol,
40 const Ptr<std::ostream> &out,
41 const bool &dumpAll
42 )
43 {
44 return Teuchos::ScalarTraits<Scalar>::ThisShouldNotCompile();
45 }
46};
47
48
49template <class Scalar>
50class VectorStdOpsTesterComparable<false,Scalar> {
51public:
52 static bool checkComparableStdOps(
53 const VectorSpaceBase<Scalar> &vecSpc,
54 const Ptr<VectorBase<Scalar> > &z,
55 const typename Teuchos::ScalarTraits<Scalar>::magnitudeType &error_tol,
56 const typename Teuchos::ScalarTraits<Scalar>::magnitudeType &warning_tol,
57 const Ptr<std::ostream> &out,
58 const bool &dumpAll
59 )
60 {
61 if (nonnull(out)) *out
62 << "\nThis scalar type does not support comparable operations so"
63 << " we can not test min(), max() and other such functions.\n";
64 return true;
65 }
66};
67
68
69template <class Scalar>
70class VectorStdOpsTesterComparable<true,Scalar> {
71public:
72 static bool checkComparableStdOps(
73 const VectorSpaceBase<Scalar> &vecSpc,
74 const Ptr<VectorBase<Scalar> > &z,
75 const typename Teuchos::ScalarTraits<Scalar>::magnitudeType &error_tol,
76 const typename Teuchos::ScalarTraits<Scalar>::magnitudeType &warning_tol,
77 const Ptr<std::ostream> &out,
78 const bool &dumpAll
79 )
80 {
81 typedef Teuchos::ScalarTraits<Scalar> ST;
82 using Teuchos::outArg;
83
84 bool success = true, result;
85
86 if (nonnull(out)) *out << "\nTesting comparable operations ...\n";
87
88 const Scalar scalarSmall(1e-5), scalarMedium(2.0), scalarLarge(100.0);
89 if (nonnull(out)) *out << "\nassign(z.ptr(),"<<scalarMedium<<");\n";
90 assign(z.ptr(),Scalar(scalarMedium));
91 if(nonnull(out) && dumpAll) *out << "\nz =\n" << *z;
92 if (nonnull(out)) *out << "\nset_ele(0,"<<scalarSmall<<",z.ptr());\n";
93 set_ele(0,scalarSmall,z.ptr());
94 if(nonnull(out) && dumpAll) *out << "\nz =\n" << *z;
95 if (nonnull(out)) *out << "\nset_ele(1,"<<scalarLarge<<",z.ptr());\n";
96 set_ele(1,scalarLarge,z.ptr());
97 if(nonnull(out) && dumpAll) *out << "\nz =\n" << *z;
98 if (nonnull(out)) *out << "\nset_ele(vecSpc.dim()-2,"<<scalarSmall<<",z.ptr());\n";
99 set_ele(vecSpc.dim()-2,scalarSmall,z.ptr());
100 if(nonnull(out) && dumpAll) *out << "\nz =\n" << *z;
101 if (nonnull(out)) *out << "\nset_ele(vecSpc.dim()-1,"<<scalarLarge<<",z.ptr());\n";
102 set_ele(vecSpc.dim()-1,scalarLarge,z.ptr());
103 if(nonnull(out) && dumpAll) *out << "\nz =\n" << *z;
104
105 Scalar minEle; Ordinal minIndex;
106 Scalar maxEle; Ordinal maxIndex;
107
108 if(!Teuchos::testRelErr<Scalar>(
109 "min(*z)",min(*z),"scalarSmall",scalarSmall
110 ,"error_tol",error_tol,"warning_tol",warning_tol,out
111 )
112 ) success=false;
113
114 if (nonnull(out)) *out << "\nmin(*z,&minEle,&minIndex);\n";
115 minEle = ST::zero(); minIndex = 0;
116 min(*z, outArg(minEle), outArg(minIndex));
117 if(!Teuchos::testRelErr<Scalar>(
118 "minEle",minEle,"scalarSmall",scalarSmall
119 ,"error_tol",error_tol,"warning_tol",warning_tol, out
120 )
121 ) success=false;
122 result = minIndex == 0;
123 if (nonnull(out)) *out << "\nminIndex = " << minIndex << " == 0 ? " << passfail(result) << std::endl;
124 if(!result) success = false;
125
126 if (nonnull(out)) *out << "\nminGreaterThanBound(*z,"<<scalarMedium<<",&minEle,&minIndex);\n";
127 minEle = ST::zero(); minIndex = 0;
128 minGreaterThanBound(*z, scalarMedium, outArg(minEle), outArg(minIndex));
129 if(!Teuchos::testRelErr<Scalar>(
130 "minEle",minEle,"scalarLarge",scalarLarge
131 ,"error_tol",error_tol,"warning_tol",warning_tol,out
132 )
133 ) success=false;
134 result = minIndex == 1;
135 if (nonnull(out)) *out << "\nminIndex = " << minIndex << " == 1 ? " << passfail(result) << std::endl;
136 if(!result) success = false;
137
138 if (nonnull(out)) *out << "\nminGreaterThanBound(*z,"<<scalarLarge<<",&minEle,&minIndex);\n";
139 minEle = ST::zero(); minIndex = 0;
140 minGreaterThanBound(*z,scalarLarge, outArg(minEle), outArg(minIndex));
141 result = minIndex < 0;
142 if (nonnull(out)) *out << "\nminIndex = " << minIndex << " < 0 ? " << passfail(result) << std::endl;
143 if(!result) success = false;
144
145 if(!Teuchos::testRelErr<Scalar>(
146 "max(*z)",max(*z),"scalarLarge",scalarLarge
147 ,"error_tol",error_tol,"warning_tol",warning_tol,out)
148 ) success=false;
149
150 if (nonnull(out)) *out << "\nmax(*z,&maxEle,&maxIndex);\n";
151 maxEle = ST::zero(); maxIndex = 0;
152 max(*z, outArg(maxEle), outArg(maxIndex));
153 if(!Teuchos::testRelErr<Scalar>(
154 "maxEle",maxEle,"scalarLarge",scalarLarge
155 ,"error_tol",error_tol,"warning_tol",warning_tol,out)
156 ) success=false;
157 result = maxIndex == 1;
158 if (nonnull(out)) *out << "\nmaxIndex = " << maxIndex << " == 1 ? " << passfail(result) << std::endl;
159 if(!result) success = false;
160
161 if (nonnull(out)) *out << "\nmaxLessThanBound(*z,"<<scalarMedium<<",&maxEle,&maxIndex);\n";
162 maxEle = ST::zero(); maxIndex = 0;
163 maxLessThanBound(*z, scalarMedium, outArg(maxEle), outArg(maxIndex));
164 if(!Teuchos::testRelErr<Scalar>(
165 "maxEle",maxEle,"scalarSmall",scalarSmall
166 ,"error_tol",error_tol,"warning_tol",warning_tol,out)
167 ) success=false;
168 result = maxIndex == 0;
169 if (nonnull(out)) *out << "\nmaxIndex = " << maxIndex << " == 0 ? " << passfail(result) << std::endl;
170 if(!result) success = false;
171
172 if (nonnull(out)) *out << "\nmaxLessThanBound(*z,"<<scalarSmall<<",&maxEle,&maxIndex);\n";
173 maxEle = ST::zero(); maxIndex = 0;
174 maxLessThanBound(*z, scalarSmall, outArg(maxEle), outArg(maxIndex));
175 result = ( maxIndex < 0 );
176 if (nonnull(out)) *out << "\nmaxIndex = " << maxIndex << " < 0 ? " << passfail(result) << std::endl;
177 if(!result) success = false;
178
179
180 // Test pair_wise_max
181 if (nonnull(out)) *out << "\nTesting pair_wise_max(*v1, *v2, z0.ptr()) ...\n";
182 {
183 using Teuchos::as;
184 using Teuchos::tuple;
185 using Teuchos::null;
186 using Teuchos::outArg;
187 using Teuchos::inOutArg;
188 Teuchos::RCP<VectorBase<Scalar> > v1 = createMember(vecSpc);
189 Teuchos::RCP<VectorBase<Scalar> > v2 = createMember(vecSpc);
190 Teuchos::RCP<VectorBase<Scalar> > v3 = createMember(vecSpc);
191 Teuchos::RCP<VectorBase<Scalar> > z0 = createMember(vecSpc);
192 const Scalar alpha = as<Scalar>(2.0);
193 seed_randomize<Scalar>(12345);
194 randomize(as<Scalar>(-ST::one()),ST::one(),v1.ptr()); // v1 = rand
195 randomize(as<Scalar>(-ST::one()),ST::one(),v2.ptr()); // v2 = rand
196
197 // z0 = alpha*max(v1_i, v2_i)
198 pair_wise_max(alpha, *v1, *v2, z0.ptr());
199
200 V_VpV(v3.ptr(), *v1, *v2); // v3 = v1 + v2
201 Vp_V(v1.ptr(), *v2, as<Scalar>(-ST::one())); // v1 -= v2
202 abs(*v1, v2.ptr()); // v2 = abs(v1)
203 Vp_V(v3.ptr(), *v2); // v3 += v2
204
205 // v1 + v2 + | v1 - v2 | = 2 max (v1, v2)
206 Vp_V(z0.ptr(), *v3, as<Scalar>(-ST::one())); // z0 -= v3
207 if(!testMaxErr<Scalar>(
208 "norm_2(*z0)",norm_2(*z0)
209 ,"error_tol",error_tol,"warning_tol",warning_tol,out.get()
210 )
211 ) success=false;
212 }
213
214 return success;
215 }
216};
217
218
219// Other helpers
220
221
222template<class Scalar>
223void setEleTestCase( const Ptr<VectorBase<Scalar> > &z, const Ordinal i, int &tc,
224 std::ostream &out, bool &success)
225{
226 using Teuchos::as;
227 out << "\n"<<tc<<") set_ele(z, "<<i<<");\n";
228 ++tc;
229 {
230 typedef ScalarTraits<Scalar> ST;
231 const Scalar val_i = as<Scalar>(i+1);
232 assign<Scalar>(z, ST::zero());
233 set_ele(i, val_i, z);
234 TEUCHOS_TEST_EQUALITY_CONST(get_ele(*z, i), val_i, out, success);
235 TEUCHOS_TEST_EQUALITY_CONST(sum(*z), val_i, out, success);
236 }
237}
238
239
240// VectorStdOpsTester
241
242
243template <class Scalar>
244VectorStdOpsTester<Scalar>::VectorStdOpsTester(
245 const ScalarMag &warning_tol_in,
246 const ScalarMag &error_tol_in
247 )
248 :warning_tol_(warning_tol_in),
249 error_tol_(error_tol_in)
250{}
251
252
253template <class Scalar>
254bool VectorStdOpsTester<Scalar>::checkStdOps(
255 const VectorSpaceBase<Scalar> &vecSpc,
256 std::ostream *out_out,
257 const bool &dumpAll
258 )
259{
260 using Teuchos::as;
261 using Teuchos::tuple;
262 using Teuchos::null;
263 using Teuchos::outArg;
264 using Teuchos::inOutArg;
265 typedef Teuchos::ScalarTraits<Scalar> ST;
266
267 TEUCHOS_ASSERT(out_out);
268 std::ostream &out = *out_out;
269
270 out << "\n*** Entering VectorStdOpsTester<"<<ST::name()<<">::checkStdOps(...) ...\n"
271 << "using a \'" << vecSpc.description() << "\' object ...\n";
272
273 bool success = true;
274 out << "\nvecSpc.dim() = " << vecSpc.dim() << std::endl;
275
276 const Ordinal n = vecSpc.dim();
277
278 TEUCHOS_TEST_FOR_EXCEPTION( n < 4, std::logic_error,
279 "Error: n = "<<n<<" must be least 4 or greater to"
280 " run Thyra::VectorStdOpsTester::checkStdOps(...)!" );
281
282 const Scalar
283 two = as<Scalar>(2.0),
284 three = as<Scalar>(3.0),
285 four = as<Scalar>(4.0);
286
287 int tc = 0;
288
289 out << "\nCreating vectors v1, v2, v3, v4, x and z ...\n";
290 Teuchos::RCP<VectorBase<Scalar> >
291 v1 = createMember(vecSpc),
292 v2 = createMember(vecSpc),
293 v3 = createMember(vecSpc),
294 v4 = createMember(vecSpc),
295 y = createMember(vecSpc),
296 x = createMember(vecSpc),
297 z = createMember(vecSpc);
298
299 out << "\nassign(v1.ptr(), -2.0);\n";
300 assign<Scalar>(v1.ptr(), -two);
301 out << "\nassign(v2.ptr(), -3.0);\n";
302 assign<Scalar>(v2.ptr(), -three);
303 out << "\nassign(v3.ptr(), -4.0);\n";
304 assign<Scalar>(v3.ptr(), -four);
305 out << "\ny[i] = i+1\n";
306 {
307 RTOpPack::TOpSetAssendingValues<Scalar> setAssendOp(ST::zero());
308 applyOp<Scalar>( setAssendOp,
309 ArrayView<const Ptr<const VectorBase<Scalar> > >(null),
310 tuple<Ptr<VectorBase<Scalar> > >(y.ptr())(),
311 null );
312 }
313
314 // sum
315 out << "\n"<<tc<<") sum(*y);\n";
316 ++tc;
317 TEUCHOS_TEST_ASSERT(
318 Teuchos::testRelErr<Scalar>(
319 "sum(*y)", sum(*y),
320 "0.5*(n+1)*n", as<Scalar>(0.5*(n+1)*n),
321 "error_tol", error_tol(), "warning_tol", warning_tol(), inOutArg(out)),
322 out, success);
323
324 // norm_inf
325 out << "\n"<<tc<<") nom_inf(*v1);\n";
326 ++tc;
327 TEUCHOS_TEST_ASSERT(
328 Teuchos::testRelErr<Scalar>(
329 "norm_inf(*v1)", norm_inf(*v1),
330 "2.0", two,
331 "error_tol", error_tol(), "warning_tol", warning_tol(), inOutArg(out)),
332 out, success);
333
334 // norm_2
335 out << "\n"<<tc<<") norm_2(*v1);\n";
336 ++tc;
337 TEUCHOS_TEST_ASSERT(
338 Teuchos::testRelErr<Scalar>(
339 "norm_2(*v1)", norm_2(*v1),
340 "2.0*sqrt(vecSpc.dim())", as<Scalar>(2.0)*ST::squareroot(vecSpc.dim()),
341 "error_tol", error_tol(), "warning_tol",warning_tol(), inOutArg(out)),
342 out, success);
343
344 // norm_1
345 out << "\n"<<tc<<") norm_1(*v1);\n";
346 ++tc;
347 TEUCHOS_TEST_ASSERT(
348 Teuchos::testRelErr<Scalar>(
349 "norm_1(*v1)" ,norm_1(*v1),
350 "2.0*vecSpc.dim()", as<Scalar>(2.0)*as<Scalar>(vecSpc.dim()),
351 "error_tol", error_tol(), "warning_tol", warning_tol(), inOutArg(out)),
352 out, success);
353
354 // abs
355 out << "\n"<<tc<<") abs(z.ptr(),*v1);\n";
356 ++tc;
357 {
358 abs<Scalar>(*v1, z.ptr());
359 if(!Teuchos::testRelErr<Scalar>(
360 "sum(*z)", sum(*z), "2.0*vecSpc.dim()", as<Scalar>(2.0)*as<Scalar>(vecSpc.dim()),
361 "error_tol", error_tol(), "warning_tol", warning_tol(), inOutArg(out))
362 ) success=false;
363 }
364
365 // get_ele
366
367 out << "\n"<<tc<<") val = get_ele(y, 0);\n";
368 ++tc;
369 {
370 const Scalar val = get_ele<Scalar>(*y, 0);
371 TEUCHOS_TEST_EQUALITY_CONST( val, as<Scalar>(1), out, success );
372 }
373
374 out << "\n"<<tc<<") val = get_ele<Scalar>(*y, 1);\n";
375 ++tc;
376 {
377 const Scalar val = get_ele<Scalar>(*y, 1);
378 TEUCHOS_TEST_EQUALITY_CONST( val, as<Scalar>(2), out, success );
379 }
380
381 out << "\n"<<tc<<") val = get_ele<Scalar>(*y, n-2);\n";
382 ++tc;
383 {
384 const Scalar val = get_ele<Scalar>(*y, n-2);
385 TEUCHOS_TEST_EQUALITY_CONST( val, as<Scalar>(n-1), out, success );
386 }
387
388 out << "\n"<<tc<<") val = get_ele<Scalar>(*y, n-1);\n";
389 ++tc;
390 {
391 const Scalar val = get_ele<Scalar>(*y, n-1);
392 TEUCHOS_TEST_EQUALITY_CONST( val, as<Scalar>(n), out, success );
393 }
394
395#ifdef THYRA_DEBUG
396
397 out << "\n"<<tc<<") get_ele<Scalar>(*y, -1);\n";
398 ++tc;
399 {
400 TEUCHOS_TEST_THROW(get_ele<Scalar>(*y, -1), std::out_of_range, out, success );
401 }
402
403 out << "\n"<<tc<<") get_ele<Scalar>(*y, n);\n";
404 ++tc;
405 {
406 TEUCHOS_TEST_THROW(get_ele<Scalar>(*y, n), std::out_of_range, out, success );
407 }
408
409#endif // THYRA_DEBUG
410
411 // set_ele
412
413 setEleTestCase<Scalar>(z.ptr(), 0, tc, out, success);
414
415 setEleTestCase<Scalar>(z.ptr(), 1, tc, out, success);
416
417 setEleTestCase<Scalar>(z.ptr(), n-2, tc, out, success);
418
419 setEleTestCase<Scalar>(z.ptr(), n-1, tc, out, success);
420
421#ifdef THYRA_DEBUG
422
423 TEUCHOS_TEST_THROW(set_ele(-1, two, z.ptr()),
424 std::out_of_range, out, success);
425
426 TEUCHOS_TEST_THROW(set_ele(n, two, z.ptr()),
427 std::out_of_range, out, success);
428
429#endif // THYRA_DEBUG
430
431 // reciprocal
432 out << "\n"<<tc<<") reciprocal(z.ptr(),*v1);\n";
433 ++tc;
434 {
435 reciprocal(*v1, z.ptr());
436 if(!Teuchos::testRelErr<Scalar>(
437 "sum(*z)",sum(*z),"-0.5*vecSpc.dim()",as<Scalar>(-0.5)*as<Scalar>(vecSpc.dim())
438 ,"error_tol",error_tol(),"warning_tol",warning_tol(),inOutArg(out))
439 ) success=false;
440 }
441
442 // linear_combination
443
444 out << "\n"<<tc<<") linear_combination(2,{0.5,0.25},{v1.ptr(),v2.ptr()},0.0,z.ptr());\n";
445 ++tc;
446 {
447 linear_combination<Scalar>(
448 tuple<Scalar>(0.5, 0.25)(),
449 tuple<Ptr<const VectorBase<Scalar> > >(v1.ptr(), v2.ptr())(),
450 ST::zero(),
451 z.ptr());
452 TEUCHOS_TEST_ASSERT(
453 Teuchos::testRelErr<Scalar>(
454 "sum(*z)", sum(*z),
455 "(-0.5*2.0-0.25*3.0)*vecSpc.dim()", as<Scalar>((-0.5 * 2.0 - 0.25 * 3.0) *vecSpc.dim()),
456 "error_tol", error_tol(), "warning_tol", warning_tol(), inOutArg(out)),
457 out, success);
458 }
459
460 out << "\nassign(z.ptr(), 2.0);\n";
461 ++tc;
462 assign(z.ptr(), as<Scalar>(2.0));
463
464 out << "\n"<<tc<<") linear_combination(3,{0.5,0.25,0.125},{v1.ptr(),v2.ptr(),v2.ptr()},0.5,z.ptr());\n";
465 ++tc;
466 {
467 linear_combination<Scalar>(
468 tuple<Scalar>(0.5, 0.25, 0.125)(),
469 tuple<Ptr<const VectorBase<Scalar> > >(v1.ptr(), v2.ptr(), v3.ptr())(),
470 as<Scalar>(0.5),
471 z.ptr());
472 if(!Teuchos::testRelErr<Scalar>(
473 "sum(*z)", sum(*z),
474 "(0.5*2.0-0.5*2.0-0.25*3.0-0.125*4.0)*vecSpc.dim()",
475 as<Scalar>(0.5*2.0-0.5*2.0-0.25*3.0-0.125*4.0)*as<Scalar>(vecSpc.dim()),
476 "error_tol", error_tol(), "warning_tol", warning_tol(), inOutArg(out)
477 )
478 ) success=false;
479 }
480
481 // assgin
482 out << "\n"<<tc<<") assign(z.ptr(),2.0);\n";
483 ++tc;
484 {
485 assign(z.ptr(),as<Scalar>(2.0));
486 if(!Teuchos::testRelErr<Scalar>(
487 "norm_2(*z,*v2)",norm_2(*z,*v2)
488 ,"sqrt(2.0*3.0*3.0*vecSpc.dim())",ST::magnitude(ST::squareroot(as<Scalar>(2.0*3.0*3.0)*as<Scalar>(vecSpc.dim())))
489 ,"error_tol",error_tol(),"warning_tol",warning_tol(),inOutArg(out)
490 )
491 ) success=false;
492
493 if(!VectorStdOpsTesterComparable<ST::isComparable,Scalar>::checkComparableStdOps(
494 vecSpc,z.ptr(),error_tol(),warning_tol(),inOutArg(out),dumpAll)
495 ) success=false;
496 }
497
498 // Test Vt_S
499 out << "\n"<<tc<<") Testing Vt_S(z.ptr(),alpha) ...\n";
500 ++tc;
501 {
502#ifdef THYRA_VECTOR_STD_OPS_TESTER_DUMP
503 RTOpPack::show_spmd_apply_op_dump = true;
504#endif // THYRA_VECTOR_STD_OPS_TESTER_DUMP
505 v1 = createMember(vecSpc);
506 v2 = createMember(vecSpc);
507 const Scalar alpha = as<Scalar>(1.2345);
508 seed_randomize<Scalar>(12345);
509 randomize(as<Scalar>(-ST::one()),ST::one(),v1.ptr());
510 V_V(v2.ptr(),*v1);
511 Vt_S(v1.ptr(), alpha);
512 const Scalar norm_alpha_v1 = norm_2(*v1);
513 //out << "norm_alpha_v1 = " << norm_alpha_v1 << "\n";
514 const Scalar mag_alpha = ST::magnitude(alpha);
515 //out << "mag_alpha = " << mag_alpha << "\n";
516 const Scalar norm_2_v2 = norm_2(*v2);
517 //out << "norm_2_v2 = " << norm_2_v2 << "\n";
518 const Scalar alpha_norm_v1 = mag_alpha * norm_2_v2;
519 //out << "alpha_norm_v1 = " << alpha_norm_v1 << "\n";
520 if(!testMaxErr<Scalar>(
521 "norm_alpha_v1 - alpha_norm_v1",ST::magnitude(norm_alpha_v1-alpha_norm_v1)
522 ,"error_tol",error_tol(),"warning_tol",warning_tol(),&out
523 )
524 ) success=false;
525#ifdef THYRA_VECTOR_STD_OPS_TESTER_DUMP
526 RTOpPack::show_spmd_apply_op_dump = false;
527#endif // THYRA_VECTOR_STD_OPS_TESTER_DUMP
528 }
529
530 // Test V_StV
531 out << "\n"<<tc<<") Testing V_StV(z.ptr(),alpha,*v) ...\n";
532 ++tc;
533 {
534 v1 = createMember(vecSpc);
535 v2 = createMember(vecSpc);
536 z = createMember(vecSpc);
537 const Scalar alpha = as<Scalar>(-1.2345);
538 seed_randomize<Scalar>(12345);
539 randomize(as<Scalar>(-ST::one()),ST::one(),v1.ptr());
540 V_StV(v2.ptr(),alpha,*v1);
541 Vt_S(v1.ptr(),alpha);
542 V_V(z.ptr(),*v1);
543 Vp_V(z.ptr(),*v2,as<Scalar>(-ST::one()));
544 if(!testMaxErr<Scalar>(
545 "norm_2(*z)",norm_2(*z)
546 ,"error_tol",error_tol(),"warning_tol",warning_tol(),&out
547 )
548 ) success=false;
549 }
550
551 // Test Vp_StV
552 out << "\n"<<tc<<") Testing Vp_StV(z.ptr(),alpha,*v) ...\n";
553 ++tc;
554 {
555 v1 = createMember(vecSpc);
556 v2 = createMember(vecSpc);
557 v3 = createMember(vecSpc);
558 z = createMember(vecSpc);
559 const Scalar alpha = as<Scalar>(-1.2345);
560 seed_randomize<Scalar>(12345);
561 randomize(as<Scalar>(-ST::one()),ST::one(),v1.ptr()); // v1 = rand
562 randomize(as<Scalar>(-ST::one()),ST::one(),v2.ptr()); // v2 = rand
563 V_V(v3.ptr(),*v1); // v3 = v1
564 Vp_StV(v1.ptr(),alpha,*v2); // v1 += alpha*v2
565 V_StV(z.ptr(),alpha,*v2); // z = alpha*v2
566 Vp_V(z.ptr(),*v3); // z += v3
567 V_V(v3.ptr(),*v1); // v3 = v1
568 Vp_V(v3.ptr(),*z,as<Scalar>(-ST::one())); // v3 -= z
569 if(!testMaxErr<Scalar>(
570 "norm_2(*v3)",norm_2(*v3)
571 ,"error_tol",error_tol(),"warning_tol",warning_tol(),&out
572 )
573 ) success=false;
574 }
575
576 // Test ele_wise_prod
577 out << "\n"<<tc<<") Testing ele_wise_prod(alpha,*v1, *v2, z.ptr()) ...\n";
578 ++tc;
579 {
580 v1 = createMember(vecSpc);
581 v2 = createMember(vecSpc);
582 v3 = createMember(vecSpc);
583 z = createMember(vecSpc);
584 const Scalar alpha = as<Scalar>(-1.2345);
585 seed_randomize<Scalar>(12345);
586 randomize(as<Scalar>(-ST::one()),ST::one(),v1.ptr()); // v1 = rand
587 randomize(as<Scalar>(-ST::one()),ST::one(),v2.ptr()); // v2 = rand
588 randomize(as<Scalar>(-ST::one()),ST::one(),v3.ptr()); // v3 = rand
589 V_V(v4.ptr(), *v1); // v4 = v1
590 V_V(z.ptr(), *v2); // z = v2
591 ele_wise_prod(alpha, *v2, *v3, v1.ptr()); // v1 += alpha * v2 * v3
592 ele_wise_prod_update(alpha, *v3, z.ptr()); // z *= alpha * v3
593 Vp_V(z.ptr(), *v4); // z += v4
594 V_V(v2.ptr(), *v1); // v2 = v1
595 Vp_V(v2.ptr(), *z, as<Scalar>(-ST::one())); // v2 -= z
596 if(!testMaxErr<Scalar>(
597 "norm_2(*v2)",norm_2(*v2)
598 ,"error_tol",error_tol(),"warning_tol",warning_tol(),&out
599 )
600 ) success=false;
601 }
602
603
604 // Test ele_wise_scale
605 out << "\n"<<tc<<") Testing ele_wise_scale(*v1, z.ptr()) ...\n";
606 ++tc;
607 {
608 v1 = createMember(vecSpc);
609 z = createMember(vecSpc);
610 V_S(v1.ptr(), as<Scalar>(2.0));
611 V_S(z.ptr(), as<Scalar>(3.0));
612 ele_wise_scale( *v1, z.ptr() );
613 if (!Teuchos::testRelErr<Scalar>(
614 "norm_2(*z)", norm_2(*z),
615 "ST::squareroot(n*sqr(3.0*2.0))", ST::squareroot(n*36.0),
616 "error_tol", error_tol(),
617 "warning_tol", warning_tol(),
618 inOutArg(out)
619 )
620 ) success=false;
621 }
622
623 // Test Vt_StV
624 out << "\n"<<tc<<") Testing Vt_StV(z.ptr(), alpha, *v) ...\n";
625 ++tc;
626 {
627 v1 = createMember(vecSpc);
628 v2 = createMember(vecSpc);
629 v3 = createMember(vecSpc);
630 z = createMember(vecSpc);
631 const Scalar alpha = as<Scalar>(-1.2345);
632 seed_randomize<Scalar>(12345);
633 randomize(as<Scalar>(-ST::one()),ST::one(),v1.ptr()); // v1 = rand
634 randomize(as<Scalar>(-ST::one()),ST::one(),v2.ptr()); // v2 = rand
635 V_V(v3.ptr(),*v1); // v3 = v1
636 Vt_StV(v1.ptr(),alpha,*v2); // v1 *= alpha*v2
637 V_S(z.ptr(),ST::zero()); // z = 0
638 Vp_StVtV(z.ptr(),alpha,*v3,*v2); // z += alpha*v3*v2
639 V_V(v2.ptr(),*v1); // v2 = v1
640 Vp_V(v2.ptr(),*z,as<Scalar>(-ST::one())); // v2 -= z
641 if(!testMaxErr<Scalar>(
642 "norm_2(*v2)",norm_2(*v2)
643 ,"error_tol",error_tol(),"warning_tol",warning_tol(),&out
644 )
645 ) success=false;
646 }
647
648 // Test V_StVpV
649 out << "\n"<<tc<<") Testing V_StVpV(z.ptr(),alpha,*v1,*v2) ...\n";
650 ++tc;
651 {
652 v1 = createMember(vecSpc);
653 v2 = createMember(vecSpc);
654 v3 = createMember(vecSpc);
655 x = createMember(vecSpc);
656 z = createMember(vecSpc);
657 const Scalar alpha = as<Scalar>(1.2345);
658 seed_randomize<Scalar>(12345);
659 randomize(as<Scalar>(as<Scalar>(-10)*ST::one()),as<Scalar>(as<Scalar>(10)*ST::one()),v1.ptr());
660 randomize(as<Scalar>(as<Scalar>(-10)*ST::one()),as<Scalar>(as<Scalar>(10)*ST::one()),v2.ptr());
661 V_StVpV(v3.ptr(),alpha,*v1,*v2);
662 V_V(z.ptr(),*v1);
663 Vp_V(z.ptr(),*v2,alpha);
664 V_V(x.ptr(),*v3);
665 Vp_V(x.ptr(),*z,as<Scalar>(-ST::one()));
666 if(!testMaxErr<Scalar>(
667 "norm_2(*x)",norm_2(*x)
668 ,"error_tol",error_tol(),"warning_tol",warning_tol(),&out
669 )
670 ) success=false;
671 }
672
673 // Test V_VpStV
674 out << "\n"<<tc<<") Testing V_VpStV(z.ptr(),*v1,alpha,*v2) ...\n";
675 ++tc;
676 {
677 v1 = createMember(vecSpc);
678 v2 = createMember(vecSpc);
679 v3 = createMember(vecSpc);
680 x = createMember(vecSpc);
681 z = createMember(vecSpc);
682 const Scalar alpha = as<Scalar>(1.2345);
683 seed_randomize<Scalar>(12345);
684 randomize<Scalar>(as<Scalar>(as<Scalar>(-10)*ST::one()),
685 as<Scalar>(as<Scalar>(10)*ST::one()), v1.ptr());
686 randomize<Scalar>(as<Scalar>(as<Scalar>(-10)*ST::one()),
687 as<Scalar>(as<Scalar>(10)*ST::one()), v2.ptr());
688 V_VpStV(outArg(*v3), *v1, alpha, *v2);
689 V_V(z.ptr(), *v1);
690 Vp_StV(z.ptr(), alpha, *v2);
691 V_VmV(outArg(*x), *z, *v3);
692 if(!testMaxErr<Scalar>(
693 "norm_2(*x)",norm_2(*x)
694 ,"error_tol",error_tol(),"warning_tol",warning_tol(),&out
695 )
696 ) success=false;
697 }
698
699 // Test V_StVpStV
700 out << "\n"<<tc<<") Testing V_StVpStV(z.ptr(),alpha,*v1,beta,*v2) ...\n";
701 ++tc;
702 {
703 v1 = createMember(vecSpc);
704 v2 = createMember(vecSpc);
705 v3 = createMember(vecSpc);
706 x = createMember(vecSpc);
707 z = createMember(vecSpc);
708 const Scalar alpha = as<Scalar>(1.2345);
709 const Scalar beta = as<Scalar>(5.4321);
710 seed_randomize<Scalar>(12345);
711 randomize(as<Scalar>(as<Scalar>(-10)*ST::one()),as<Scalar>(as<Scalar>(10)*ST::one()),v1.ptr());
712 randomize(as<Scalar>(as<Scalar>(-10)*ST::one()),as<Scalar>(as<Scalar>(10)*ST::one()),v2.ptr());
713 V_StVpStV(v3.ptr(),alpha,*v1,beta,*v2);
714 V_StV(z.ptr(),alpha,*v1);
715 Vp_StV(z.ptr(),beta,*v2);
716 V_V(x.ptr(),*v3);
717 Vp_V(x.ptr(),*z,as<Scalar>(-ST::one()));
718 if(!testMaxErr<Scalar>(
719 "norm_2(*x)",norm_2(*x)
720 ,"10*error_tol",ScalarMag(ScalarMag(10)*error_tol()),"warning_tol",warning_tol(),&out
721 )
722 ) success=false;
723 }
724
725 // Test Vp_V
726 out << "\n"<<tc<<") Testing Vp_V(v1.ptr(),*v2,beta) ...\n";
727 ++tc;
728 {
729 v1 = createMember(vecSpc);
730 v2 = createMember(vecSpc);
731 v3 = createMember(vecSpc);
732 x = createMember(vecSpc);
733 z = createMember(vecSpc);
734 const Scalar alpha = as<Scalar>(-2.0);
735 const Scalar beta = as<Scalar>(10.0);
736 V_S(v1.ptr(),alpha);
737 seed_randomize<Scalar>(12345);
738 randomize(as<Scalar>(as<Scalar>(-10)*ST::one()),as<Scalar>(as<Scalar>(10)*ST::one()),v2.ptr());
739 Vp_V(v1.ptr(),*v2,beta);
740 V_S(v3.ptr(),alpha);
741 V_StVpV(z.ptr(),beta,*v3,*v2);
742 V_StVpV(x.ptr(),as<Scalar>(-ST::one()),*z,*v1);
743 if(!testMaxErr<Scalar>(
744 "norm_2(*x)",norm_2(*x)
745 ,"error_tol",error_tol(),"warning_tol",warning_tol(),&out
746 )
747 ) success=false;
748 }
749
750 // Test Vp_V
751 out << "\n"<<tc<<") Testing Vp_V(v1.ptr(),*v2) ...\n";
752 ++tc;
753 {
754 v1 = createMember(vecSpc);
755 v2 = createMember(vecSpc);
756 v3 = createMember(vecSpc);
757 x = createMember(vecSpc);
758 z = createMember(vecSpc);
759 const Scalar alpha = as<Scalar>(-2.0);
760 V_S(v1.ptr(),alpha);
761 seed_randomize<Scalar>(12345);
762 randomize(as<Scalar>(as<Scalar>(-10)*ST::one()),as<Scalar>(as<Scalar>(10)*ST::one()),v2.ptr());
763 Vp_V(v1.ptr(),*v2);
764 V_S(v3.ptr(),alpha);
765 V_StVpV(z.ptr(),ST::one(),*v3,*v2);
766 V_StVpV(x.ptr(),as<Scalar>(-ST::one()),*z,*v1);
767 if(!testMaxErr<Scalar>(
768 "norm_2(*x)",norm_2(*x)
769 ,"error_tol",error_tol(),"warning_tol",warning_tol(),&out
770 )
771 ) success=false;
772 }
773
774 // Test V_S
775 out << "\n"<<tc<<") Testing V_S(v1.ptr(),alpha) ...\n";
776 ++tc;
777 {
778 v1 = createMember(vecSpc);
779 v2 = createMember(vecSpc);
780 z = createMember(vecSpc);
781 const Scalar alpha = as<Scalar>(1.2345);
782 assign(v1.ptr(),alpha);
783 V_S(v2.ptr(),alpha);
784 V_StVpV(z.ptr(),as<Scalar>(-ST::one()),*v1,*v2);
785 if(!testMaxErr<Scalar>(
786 "norm_2(*z)",norm_2(*z)
787 ,"error_tol",error_tol(),"warning_tol",warning_tol(),&out
788 )
789 ) success=false;
790 }
791
792 // Test V_V
793 out << "\n"<<tc<<") Testing V_V(v1.ptr(),*v2) ...\n";
794 ++tc;
795 {
796 v1 = createMember(vecSpc);
797 v2 = createMember(vecSpc);
798 z = createMember(vecSpc);
799 seed_randomize<Scalar>(12345);
800 randomize(as<Scalar>(as<Scalar>(-10)*ST::one()),as<Scalar>(as<Scalar>(10)*ST::one()),v1.ptr());
801 V_V(v2.ptr(),*v1);
802 V_StVpV(z.ptr(),as<Scalar>(-ST::one()),*v1,*v2);
803 if(!testMaxErr<Scalar>(
804 "norm_2(*z)",norm_2(*z)
805 ,"error_tol",error_tol(),"warning_tol",warning_tol(),&out
806 )
807 ) success=false;
808 }
809
810 // ToDo: Add tests for *all* standard operators!
811
812 out << "\n*** Leaving VectorStdOpsTester<"<<ST::name()<<">::checkStdOps(...) ...\n";
813
814 return success;
815
816
817}
818
819
820} // namespace Thyra
821
822
823#endif // THYRA_VECTOR_STD_OPS_TESTER_HPP
Teuchos_TestingHelpers.hpp
Teuchos::Describable::description
virtual std::string description() const
Teuchos::RCP::ptr
Ptr< T > ptr() const
Thyra::MultiVectorBase::assign
void assign(const Ptr< MultiVectorBase< Scalar > > &V, Scalar alpha)
V = alpha.
Definition Thyra_MultiVectorStdOps_def.hpp:122
Thyra::MultiVectorBase::randomize
void randomize(Scalar l, Scalar u, const Ptr< MultiVectorBase< Scalar > > &V)
Generate a random multi-vector with elements uniformly distributed elements.
Definition Thyra_MultiVectorStdOps_def.hpp:200
Thyra::MultiVectorBase::V_VpV
void V_VpV(const Ptr< MultiVectorBase< Scalar > > &Z, const MultiVectorBase< Scalar > &X, const MultiVectorBase< Scalar > &Y)
Z(i,j) = X(i,j) + Y(i,j), i = 0...Z->range()->dim()-1, j = 0...Z->domain()->dim()-1.
Definition Thyra_MultiVectorStdOps_def.hpp:241
Thyra::MultiVectorBase::applyOp
void applyOp(const RTOpPack::RTOpT< Scalar > &primary_op, const ArrayView< const Ptr< const MultiVectorBase< Scalar > > > &multi_vecs, const ArrayView< const Ptr< MultiVectorBase< Scalar > > > &targ_multi_vecs, const ArrayView< const Ptr< RTOpPack::ReductTarget > > &reduct_objs, const Ordinal primary_global_offset=0)
Apply a reduction/transformation operator column by column and return an array of the reduction objec...
Definition Thyra_MultiVectorBase_decl.hpp:1309
Thyra::MultiVectorBase::Vt_S
void Vt_S(const Ptr< MultiVectorBase< Scalar > > &Z, const Scalar &alpha)
Z(i,j) *= alpha, i = 0...Z->range()->dim()-1, j = 0...Z->domain()->dim()-1.
Definition Thyra_MultiVectorStdOps_def.hpp:211
Thyra::MultiVectorBase::norm_1
ScalarTraits< Scalar >::magnitudeType norm_1(const MultiVectorBase< Scalar > &V)
Take the induced matrix one norm of a multi-vector.
Thyra::MultiVectorBase::V_VmV
void V_VmV(const Ptr< MultiVectorBase< Scalar > > &Z, const MultiVectorBase< Scalar > &X, const MultiVectorBase< Scalar > &Y)
Z(i,j) = X(i,j) - Y(i,j), i = 0...Z->range()->dim()-1, j = 0...Z->domain()->dim()-1.
Definition Thyra_MultiVectorStdOps_def.hpp:254
Thyra::MultiVectorBase::linear_combination
void linear_combination(const ArrayView< const Scalar > &alpha, const ArrayView< const Ptr< const MultiVectorBase< Scalar > > > &X, const Scalar &beta, const Ptr< MultiVectorBase< Scalar > > &Y)
Y.col(j)(i) = beta*Y.col(j)(i) + sum( alpha[k]*X[k].col(j)(i), k=0...m-1 ), for i = 0....
Definition Thyra_MultiVectorStdOps_def.hpp:188
Thyra::MultiVectorBase::V_StVpV
void V_StVpV(const Ptr< MultiVectorBase< Scalar > > &Z, const Scalar &alpha, const MultiVectorBase< Scalar > &X, const MultiVectorBase< Scalar > &Y)
Z(i,j) = alpha*X(i,j) + Y(i), i = 0...z->space()->dim()-1, , j = 0...Z->domain()->dim()-1.
Definition Thyra_MultiVectorStdOps_def.hpp:267
Thyra::MultiVectorBase::Vp_V
void Vp_V(const Ptr< MultiVectorBase< Scalar > > &Z, const MultiVectorBase< Scalar > &X)
Z(i,j) += X(i,j), i = 0...Z->range()->dim()-1, j = 0...Z->domain()->dim()-1.
Definition Thyra_MultiVectorStdOps_def.hpp:230
Thyra::VectorBase
Abstract interface for finite-dimensional dense vectors.
Definition Thyra_VectorBase.hpp:115
Thyra::VectorBase::maxLessThanBound
void maxLessThanBound(const VectorBase< Scalar > &x, const Scalar &bound, const Ptr< Scalar > &maxEle, const Ptr< Ordinal > &maxIndex)
Max element less than bound and its index: Returns maxEle = x(k) and maxIndex = k such that x(k) >= x...
Definition Thyra_VectorStdOps_def.hpp:552
Thyra::VectorBase::abs
void abs(const VectorBase< Scalar > &x, const Ptr< VectorBase< Scalar > > &y)
Element-wise absolute value: y(i) = abs(x(i)), i = 0...y->space()->dim()-1.
Definition Thyra_VectorStdOps_def.hpp:169
Thyra::VectorBase::Vp_StV
void Vp_StV(const Ptr< VectorBase< Scalar > > &y, const Scalar &alpha, const VectorBase< Scalar > &x)
AXPY: y(i) = alpha * x(i) + y(i), i = 0...y->space()->dim()-1.
Definition Thyra_VectorStdOps_def.hpp:363
Thyra::VectorBase::V_VpStV
void V_VpStV(const Ptr< VectorBase< Scalar > > &z, const VectorBase< Scalar > &x, const Scalar &alpha, const VectorBase< Scalar > &y)
z(i) = x(i) + alpha*y(i), i = 0...z->space()->dim()-1.
Definition Thyra_VectorStdOps_def.hpp:443
Thyra::VectorBase::set_ele
void set_ele(Ordinal i, Scalar alpha, const Ptr< VectorBase< Scalar > > &v)
Set single element: v(i) = alpha.
Definition Thyra_VectorStdOps_def.hpp:121
Thyra::VectorBase::norm_2
Teuchos::ScalarTraits< Scalar >::magnitudeType norm_2(const VectorBase< Scalar > &v)
Euclidean (2) norm: result = ||v||2.
Definition Thyra_VectorStdOps_def.hpp:72
Thyra::VectorBase::ele_wise_scale
void ele_wise_scale(const VectorBase< Scalar > &x, const Ptr< VectorBase< Scalar > > &y)
Element-wise scaling: y(i) *= x(i), i = 0...y->space()->dim()-1.
Definition Thyra_VectorStdOps_def.hpp:221
Thyra::VectorBase::Vt_StV
void Vt_StV(const Ptr< VectorBase< Scalar > > &y, const Scalar &alpha, const VectorBase< Scalar > &x)
Element-wise product update: y(i) *= alpha * x(i), i = 0...y->space()->dim()-1.
Definition Thyra_VectorStdOps_def.hpp:267
Thyra::VectorBase::norm_inf
Teuchos::ScalarTraits< Scalar >::magnitudeType norm_inf(const VectorBase< Scalar > &v_rhs)
Infinity norm: result = ||v||inf.
Definition Thyra_VectorStdOps_def.hpp:88
Thyra::VectorBase::V_StV
void V_StV(const Ptr< VectorBase< Scalar > > &y, const Scalar &alpha, const VectorBase< Scalar > &x)
Assign scaled vector: y(i) = alpha * x(i), i = 0...y->space()->dim()-1.
Definition Thyra_VectorStdOps_def.hpp:352
Thyra::VectorBase::min
Scalar min(const VectorBase< Scalar > &x)
Min element: result = min{ x(i), i = 0...x.space()->dim()-1 } .
Definition Thyra_VectorStdOps_def.hpp:476
Thyra::VectorBase::sum
Scalar sum(const VectorBase< Scalar > &v)
Sum of vector elements: result = sum( v(i), i = 0...v.space()->dim()-1 ).
Definition Thyra_VectorStdOps_def.hpp:49
Thyra::VectorBase::ele_wise_prod_update
void ele_wise_prod_update(const Scalar &alpha, const VectorBase< Scalar > &x, const Ptr< VectorBase< Scalar > > &y)
Element-wise product update: y(i) *= alpha * x(i), i = 0...y->space()->dim()-1.
Definition Thyra_VectorStdOps_def.hpp:240
Thyra::VectorBase::get_ele
Scalar get_ele(const VectorBase< Scalar > &v, Ordinal i)
Get single element: result = v(i).
Definition Thyra_VectorStdOps_def.hpp:102
Thyra::VectorBase::seed_randomize
void seed_randomize(unsigned int s)
Seed the random number generator used in randomize().
Definition Thyra_VectorStdOps_def.hpp:302
Thyra::VectorBase::V_S
void V_S(const Ptr< VectorBase< Scalar > > &y, const Scalar &alpha)
y(i) = alpha, i = 0...y->space()->dim()-1.
Definition Thyra_VectorStdOps_def.hpp:392
Thyra::VectorBase::pair_wise_max
void pair_wise_max(const Scalar &alpha, const VectorBase< Scalar > &x, const VectorBase< Scalar > &v, const Ptr< VectorBase< Scalar > > &y)
Element-wise maximum: y(i) = alpha * max(x(i), v(i)), i = 0...y->space()->dim()-1.
Definition Thyra_VectorStdOps_def.hpp:195
Thyra::VectorBase::minGreaterThanBound
void minGreaterThanBound(const VectorBase< Scalar > &x, const Scalar &bound, const Ptr< Scalar > &minEle, const Ptr< Ordinal > &minIndex)
Minimum element greater than some bound and its index: Returns minEle = x(k) and minIndex = k such th...
Definition Thyra_VectorStdOps_def.hpp:505
Thyra::VectorBase::V_V
void V_V(const Ptr< VectorBase< Scalar > > &y, const VectorBase< Scalar > &x)
y(i) = x(i), i = 0...y->space()->dim()-1.
Definition Thyra_VectorStdOps_def.hpp:385
Thyra::VectorBase::reciprocal
void reciprocal(const VectorBase< Scalar > &x, const Ptr< VectorBase< Scalar > > &y)
Element-wise reciprocal: y(i) = 1/x(i), i = 0...y->space()->dim()-1.
Definition Thyra_VectorStdOps_def.hpp:176
Thyra::VectorBase::ele_wise_prod
void ele_wise_prod(const Scalar &alpha, const VectorBase< Scalar > &x, const VectorBase< Scalar > &v, const Ptr< VectorBase< Scalar > > &y)
Element-wise product update: y(i) += alpha * x(i) * v(i), i = 0...y->space()->dim()-1.
Definition Thyra_VectorStdOps_def.hpp:183
Thyra::VectorBase::Vp_StVtV
void Vp_StVtV(const Ptr< VectorBase< Scalar > > &y, const Scalar &alpha, const VectorBase< Scalar > &x, const VectorBase< Scalar > &v)
Element-wise product update: y(i) += alpha * x(i) * v(i), i = 0...y->space()->dim()-1.
Definition Thyra_VectorStdOps_def.hpp:229
Thyra::VectorBase::V_StVpStV
void V_StVpStV(const Ptr< VectorBase< Scalar > > &z, const Scalar &alpha, const VectorBase< Scalar > &x, const Scalar &beta, const VectorBase< Scalar > &y)
z(i) = alpha*x(i) + beta*y(i), i = 0...z->space()->dim()-1.
Definition Thyra_VectorStdOps_def.hpp:457
Thyra::VectorBase::max
Scalar max(const VectorBase< Scalar > &x)
Max element: result = max{ x(i), i = 1...n } .
Definition Thyra_VectorStdOps_def.hpp:522
Thyra::VectorSpaceBase
Abstract interface for objects that represent a space for vectors.
Definition Thyra_VectorSpaceBase_decl.hpp:267
Thyra::VectorSpaceBase::dim
virtual Ordinal dim() const =0
Return the dimension of the vector space.
Thyra::VectorSpaceBase::createMember
RCP< VectorBase< Scalar > > createMember(const RCP< const VectorSpaceBase< Scalar > > &vs, const std::string &label="")
Create a vector member from the vector space.
Thyra::VectorStdOpsTester::checkStdOps
bool checkStdOps(const VectorSpaceBase< Scalar > &vecSpc, std::ostream *out=0, const bool &dumpAll=false)
Run the tests using a vector space.
Definition Thyra_VectorStdOpsTester_def.hpp:254
Thyra::VectorStdOpsTester::VectorStdOpsTester
VectorStdOpsTester(const ScalarMag &warning_tol=0, const ScalarMag &error_tol=0)
Definition Thyra_VectorStdOpsTester_def.hpp:244
Thyra::VectorStdOpsTester::ScalarMag
Teuchos::ScalarTraits< Scalar >::magnitudeType ScalarMag
Definition Thyra_VectorStdOpsTester_decl.hpp:29
TEUCHOS_ASSERT
#define TEUCHOS_ASSERT(assertion_test)
TEUCHOS_TEST_FOR_EXCEPTION
#define TEUCHOS_TEST_FOR_EXCEPTION(throw_exception_test, Exception, msg)
Teuchos::nonnull
bool nonnull(const std::shared_ptr< T > &p)
Thyra::passfail
const std::string passfail(const bool result)
Definition Thyra_TestingToolsDecl.hpp:24
Thyra::testMaxErr
bool testMaxErr(const std::string &error_name, const Scalar &error, const std::string &max_error_name, const typename Teuchos::ScalarTraits< Scalar >::magnitudeType &max_error, const std::string &max_warning_name, const typename Teuchos::ScalarTraits< Scalar >::magnitudeType &max_warning, std::ostream *out, const std::string &leadingIndent=std::string(""))
Check that an error is less than some error tolerence.
Definition Thyra_TestingTools.hpp:171
Teuchos::as
TypeTo as(const TypeFrom &t)
TEUCHOS_TEST_ASSERT
#define TEUCHOS_TEST_ASSERT(v1, out, success)
TEUCHOS_TEST_THROW
#define TEUCHOS_TEST_THROW(code, ExceptType, out, success)
TEUCHOS_TEST_EQUALITY_CONST
#define TEUCHOS_TEST_EQUALITY_CONST(v1, v2, out, success)
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