This file is indexed.

/usr/include/trilinos/BelosRCGIter.hpp is in libtrilinos-belos-dev 12.10.1-3.

This file is owned by root:root, with mode 0o644.

The actual contents of the file can be viewed below.

  1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
//@HEADER
// ************************************************************************
//
//                 Belos: Block Linear Solvers Package
//                  Copyright 2004 Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY
// EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE
// CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
// PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
// LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
//
// Questions? Contact Michael A. Heroux (maherou@sandia.gov)
//
// ************************************************************************
//@HEADER

#ifndef BELOS_RCG_ITER_HPP
#define BELOS_RCG_ITER_HPP

/*! \file BelosRCGIter.hpp
    \brief Belos concrete class for performing the RCG iteration.
*/

#include "BelosConfigDefs.hpp"
#include "BelosTypes.hpp"

#include "BelosLinearProblem.hpp"
#include "BelosMatOrthoManager.hpp"
#include "BelosOutputManager.hpp"
#include "BelosStatusTest.hpp"
#include "BelosOperatorTraits.hpp"
#include "BelosMultiVecTraits.hpp"

#include "Teuchos_BLAS.hpp"
#include "Teuchos_LAPACK.hpp"
#include "Teuchos_SerialDenseMatrix.hpp"
#include "Teuchos_SerialDenseVector.hpp"
#include "Teuchos_ScalarTraits.hpp"
#include "Teuchos_ParameterList.hpp"
#include "Teuchos_TimeMonitor.hpp"

// MLP Remove after debugging
#include <fstream>
#include <iomanip>

/*!
  \class Belos::RCGIter

  \brief This class implements the RCG iteration, where a
  single-std::vector Krylov subspace is constructed.

  \ingroup belos_solver_framework

  \author Michael Parks and Heidi Thornquist
*/

namespace Belos {

  //! @name RCGIter Structures
  //@{

  /** \brief Structure to contain pointers to RCGIter state variables.
   *
   * This struct is utilized by RCGIter::initialize()
   */
  template <class ScalarType, class MV>
  struct RCGIterState {
    /*! \brief The current dimension of the reduction.
     *
     * This should always be equal to BlockGmresIter::getCurSubspaceDim()
     */
    int curDim;

    /*! \brief The current Krylov basis. */
    Teuchos::RCP<MV> P;

    /*! \brief A times current search vector */
    Teuchos::RCP<MV> Ap;

    /*! \brief The current residual. */
    Teuchos::RCP<MV> r;

    /*! \brief The current preconditioned residual. */
    Teuchos::RCP<MV> z;

    /*! \brief Flag to indicate the recycle space should be used */
    bool existU;

    /*! \brief The recycled subspace and its image. */
    Teuchos::RCP<MV> U, AU;

    /*! \brief Coefficients arising in RCG iteration
     */
    Teuchos::RCP<Teuchos::SerialDenseMatrix<int,ScalarType> > Alpha;
    Teuchos::RCP<Teuchos::SerialDenseMatrix<int,ScalarType> > Beta;
    Teuchos::RCP<Teuchos::SerialDenseMatrix<int,ScalarType> > D;
    Teuchos::RCP<Teuchos::SerialDenseMatrix<int,ScalarType> > rTz_old;

    /*! \brief Solutions to local least-squares problems */
    Teuchos::RCP<Teuchos::SerialDenseMatrix<int,ScalarType> > Delta;

    /*! \brief The LU factorization of the matrix U^T A U  */
    Teuchos::RCP<Teuchos::SerialDenseMatrix<int,ScalarType> > LUUTAU;
    /*! \brief Data from LU factorization of U^T A U */
    Teuchos::RCP<std::vector<int> > ipiv;


    RCGIterState() : curDim(0), P(Teuchos::null), Ap(Teuchos::null), r(Teuchos::null),
                     z(Teuchos::null),
                     existU(false),
		     U(Teuchos::null), AU(Teuchos::null),
		     Alpha(Teuchos::null), Beta(Teuchos::null), D(Teuchos::null), rTz_old(Teuchos::null),
		     Delta(Teuchos::null), LUUTAU(Teuchos::null), ipiv(Teuchos::null)
    {}
  };

  //@}

  //! @name RCGIter Exceptions
  //@{

  /** \brief RCGIterInitFailure is thrown when the RCGIter object is unable to
   * generate an initial iterate in the RCGIter::initialize() routine.
   *
   * This std::exception is thrown from the RCGIter::initialize() method, which is
   * called by the user or from the RCGIter::iterate() method if isInitialized()
   * == \c false.
   *
   * In the case that this std::exception is thrown,
   * RCGIter::isInitialized() will be \c false and the user will need to provide
   * a new initial iterate to the iteration.
   */
  class RCGIterInitFailure : public BelosError {public:
    RCGIterInitFailure(const std::string& what_arg) : BelosError(what_arg)
    {}};

  /** \brief RCGIterFailure is thrown when the RCGIter object is unable to
   * compute the next iterate in the RCGIter::iterate() routine.
   *
   * This std::exception is thrown from the RCGIter::iterate() method.
   *
   */
  class RCGIterFailure : public BelosError {public:
    RCGIterFailure(const std::string& what_arg) : BelosError(what_arg)
    {}};

  /** \brief RCGIterOrthoFailure is thrown when the RCGIter object is unable to
   * compute independent direction vectors in the RCGIter::iterate() routine.
   *
   * This std::exception is thrown from the RCGIter::iterate() method.
   *
   */
  class RCGIterOrthoFailure : public BelosError {public:
    RCGIterOrthoFailure(const std::string& what_arg) : BelosError(what_arg)
    {}};

  /** \brief RCGIterLAPACKFailure is thrown when a nonzero return value is passed back
   * from an LAPACK routine.
   *
   * This std::exception is thrown from the RCGIter::iterate() method.
   *
   */
  class RCGIterLAPACKFailure : public BelosError {public:
    RCGIterLAPACKFailure(const std::string& what_arg) : BelosError(what_arg)
    {}};

  //@}


  template<class ScalarType, class MV, class OP>
  class RCGIter : virtual public Iteration<ScalarType,MV,OP> {

  public:

    //
    // Convenience typedefs
    //
    typedef MultiVecTraits<ScalarType,MV> MVT;
    typedef OperatorTraits<ScalarType,MV,OP> OPT;
    typedef Teuchos::ScalarTraits<ScalarType> SCT;
    typedef typename SCT::magnitudeType MagnitudeType;

    //! @name Constructors/Destructor
    //@{

    /*! \brief %RCGIter constructor with linear problem, solver utilities, and parameter list of solver options.
     *
     * This constructor takes pointers required by the linear solver, in addition
     * to a parameter list of options for the linear solver. These options include the following:
     *   - "Num Blocks" - an \c int specifying the maximum number of blocks allocated for the solver basis. Default: 25
     *   - "Restart Timers" = a \c bool specifying whether the timers should be restarted each time iterate() is called. Default: false
     */
    RCGIter( const Teuchos::RCP<LinearProblem<ScalarType,MV,OP> > &problem,
		const Teuchos::RCP<OutputManager<ScalarType> > &printer,
		const Teuchos::RCP<StatusTest<ScalarType,MV,OP> > &tester,
		Teuchos::ParameterList &params );

    //! Destructor.
    virtual ~RCGIter() {};
    //@}


    //! @name Solver methods
    //@{

   /*! \brief This method performs RCG iterations until the status
    * test indicates the need to stop or an error occurs (in which case, an
    * std::exception is thrown).
    *
    * iterate() will first determine whether the solver is initialized; if
    * not, it will call initialize() using default arguments. After
    * initialization, the solver performs RCG iterations until the
    * status test evaluates as ::Passed, at which point the method returns to
    * the caller.
    *
    * The status test is queried at the beginning of the iteration.
    */
    void iterate();

   /*! \brief Initialize the solver to an iterate, providing a complete state.
    *
    * The %RCGIter contains a certain amount of state, consisting of the current
    * residual, preconditioned residual, and decent direction.
    *
    * initialize() gives the user the opportunity to manually set these,
    * although only the current unpreconditioned residual is required.
    *
    * \post
    * <li>isInitialized() == \c true (see post-conditions of isInitialize())
    *
    * \note For any pointer in \c newstate which directly points to the multivectors in
    * the solver, the data is not copied.
    */
    void initialize(RCGIterState<ScalarType,MV> &newstate);

   /*! \brief Initialize the solver with the initial vectors from the linear problem
    *  or random data.
    */
    void initialize()
    {
      RCGIterState<ScalarType,MV> empty;
      initialize(empty);
    }

    //@}

    //! @name Status methods
    //@{

    //! \brief Get the current iteration count.
    int getNumIters() const { return iter_; }

    //! \brief Reset the iteration count.
    void resetNumIters( int iter = 0 ) { iter_ = iter; }

    //! Get the norms of the residuals native to the solver.
    //! \return A std::vector of length blockSize containing the native residuals.
    Teuchos::RCP<const MV> getNativeResiduals( std::vector<MagnitudeType> *norms ) const { return r_; }

    //! Get the current update to the linear system.
    /*! \note Some solvers, like GMRES, do not compute updates to the solution every iteration.
      This method forces its computation.  Other solvers, like CG and RCG update the solution
      each iteration, so this method will return a zero std::vector indicating that the linear
      problem contains the current solution.
    */
    Teuchos::RCP<MV> getCurrentUpdate() const { return Teuchos::null; }

    //! Get the dimension of the search subspace used to generate the current solution to the linear problem.
    int getCurSubspaceDim() const {
      if (!initialized_) return 0;
      return curDim_;
    };

    //! Get the maximum dimension allocated for the search subspace.
    int getMaxSubspaceDim() const { return numBlocks_+1; }

    //@}


    //! @name Accessor methods
    //@{

    //! Get a constant reference to the linear problem.
    const LinearProblem<ScalarType,MV,OP>& getProblem() const { return *lp_; }

    //! Get the maximum number of blocks used by the iterative solver in solving this linear problem.
    int getNumBlocks() const { return numBlocks_; }

    //! \brief Set the maximum number of blocks used by the iterative solver.
    void setNumBlocks(int numBlocks) { setSize( recycleBlocks_, numBlocks ); };

    //! Get the maximum number of recycled blocks used by the iterative solver in solving this linear problem.
    int getRecycledBlocks() const { return recycleBlocks_; }

    //! \brief Set the maximum number of recycled blocks used by the iterative solver.
    void setRecycledBlocks(int recycleBlocks) { setSize( recycleBlocks, numBlocks_ ); };

    //! Get the blocksize to be used by the iterative solver in solving this linear problem.
    int getBlockSize() const { return 1; }

    //! \brief Set the blocksize.
    void setBlockSize(int blockSize) {
      TEUCHOS_TEST_FOR_EXCEPTION(blockSize!=1,std::invalid_argument,
			 "Belos::RCGIter::setBlockSize(): Cannot use a block size that is not one.");
    }

    //! \brief Set the maximum number of blocks used by the iterative solver and the number of recycled vectors.
    void setSize( int recycleBlocks, int numBlocks );

    //! States whether the solver has been initialized or not.
    bool isInitialized() { return initialized_; }

    //@}

  private:

    //
    // Internal methods
    //

    //
    // Classes input through constructor that define the linear problem to be solved.
    //
    const Teuchos::RCP<LinearProblem<ScalarType,MV,OP> >    lp_;
    const Teuchos::RCP<OutputManager<ScalarType> >          om_;
    const Teuchos::RCP<StatusTest<ScalarType,MV,OP> >       stest_;

    //
    // Algorithmic parameters
    //
    // numBlocks_ is the size of the allocated space for the Krylov basis, in blocks.
    int numBlocks_;

    // recycleBlocks_ is the size of the allocated space for the recycled subspace, in blocks.
    int recycleBlocks_;

    //
    // Current solver state
    //
    // initialized_ specifies that the basis vectors have been initialized and the iterate() routine
    // is capable of running; _initialize is controlled  by the initialize() member method
    // For the implications of the state of initialized_, please see documentation for initialize()
    bool initialized_;

    // Current subspace dimension, and number of iterations performed.
    int curDim_, iter_;

    //
    // State Storage
    //
    // Search vectors
    Teuchos::RCP<MV> P_;
    //
    // A times current search vector
    Teuchos::RCP<MV> Ap_;
    //
    // Residual vector
    Teuchos::RCP<MV> r_;
    //
    // Preconditioned residual
    Teuchos::RCP<MV> z_;
    //
    // Flag to indicate that the recycle space should be used
    bool existU_;
    // Recycled subspace and its image
    Teuchos::RCP<MV> U_, AU_;
    //
    // Coefficients arising in RCG iteration
    Teuchos::RCP<Teuchos::SerialDenseMatrix<int,ScalarType> > Alpha_,Beta_,D_;
    //
    // Solutions to local least-squares problems
    Teuchos::RCP<Teuchos::SerialDenseMatrix<int,ScalarType> > Delta_;
    //
    // The LU factorization of the matrix U^T A U
    Teuchos::RCP<Teuchos::SerialDenseMatrix<int,ScalarType> > LUUTAU_;
    //
    // Data from LU factorization of UTAU
    Teuchos::RCP<std::vector<int> > ipiv_;
    //
    // The scalar r'*z
    Teuchos::RCP<Teuchos::SerialDenseMatrix<int,ScalarType> > rTz_old_;
  };

  //////////////////////////////////////////////////////////////////////////////////////////////////
  // Constructor.
  template<class ScalarType, class MV, class OP>
  RCGIter<ScalarType,MV,OP>::RCGIter(const Teuchos::RCP<LinearProblem<ScalarType,MV,OP> > &problem,
				     const Teuchos::RCP<OutputManager<ScalarType> > &printer,
				     const Teuchos::RCP<StatusTest<ScalarType,MV,OP> > &tester,
					   Teuchos::ParameterList &params ):
    lp_(problem),
    om_(printer),
    stest_(tester),
    numBlocks_(0),
    recycleBlocks_(0),
    initialized_(false),
    curDim_(0),
    iter_(0),
    existU_(false)
  {
    // Get the maximum number of blocks allowed for this Krylov subspace
    TEUCHOS_TEST_FOR_EXCEPTION(!params.isParameter("Num Blocks"), std::invalid_argument,
                       "Belos::RCGIter::constructor: mandatory parameter \"Num Blocks\" is not specified.");
    int nb = Teuchos::getParameter<int>(params, "Num Blocks");

    TEUCHOS_TEST_FOR_EXCEPTION(!params.isParameter("Recycled Blocks"), std::invalid_argument,
                       "Belos::RCGIter::constructor: mandatory parameter \"Recycled Blocks\" is not specified.");
    int rb = Teuchos::getParameter<int>(params, "Recycled Blocks");

    // Set the number of blocks and allocate data
    setSize( rb, nb );
  }

  //////////////////////////////////////////////////////////////////////////////////////////////////
  // Set the block size and make necessary adjustments.
  template <class ScalarType, class MV, class OP>
  void RCGIter<ScalarType,MV,OP>::setSize( int recycleBlocks, int numBlocks )
  {

    TEUCHOS_TEST_FOR_EXCEPTION(numBlocks <= 0, std::invalid_argument, "Belos::RCGIter::setSize() was passed a non-positive argument for \"Num Blocks\".");
    TEUCHOS_TEST_FOR_EXCEPTION(recycleBlocks <= 0, std::invalid_argument, "Belos::RCGIter::setSize() was passed a non-positive argument for \"Recycled Blocks\".");
    TEUCHOS_TEST_FOR_EXCEPTION(recycleBlocks >= numBlocks, std::invalid_argument, "Belos::RCGIter::setSize() the number of recycled blocks is larger than the allowable subspace.");

    numBlocks_ = numBlocks;
    recycleBlocks_ = recycleBlocks;

  }

  //////////////////////////////////////////////////////////////////////////////////////////////////
  // Initialize this iteration object
  template <class ScalarType, class MV, class OP>
  void RCGIter<ScalarType,MV,OP>::initialize(RCGIterState<ScalarType,MV> &newstate)
  {

    if (newstate.P != Teuchos::null &&
        newstate.Ap != Teuchos::null &&
        newstate.r != Teuchos::null &&
        newstate.z != Teuchos::null &&
        newstate.U != Teuchos::null &&
        newstate.AU != Teuchos::null &&
        newstate.Alpha != Teuchos::null &&
        newstate.Beta != Teuchos::null &&
        newstate.D != Teuchos::null &&
        newstate.Delta != Teuchos::null &&
        newstate.LUUTAU != Teuchos::null &&
        newstate.ipiv != Teuchos::null &&
        newstate.rTz_old != Teuchos::null) {

      curDim_ = newstate.curDim;
      P_ = newstate.P;
      Ap_ = newstate.Ap;
      r_ = newstate.r;
      z_ = newstate.z;
      existU_ = newstate.existU;
      U_ = newstate.U;
      AU_ = newstate.AU;
      Alpha_ = newstate.Alpha;
      Beta_ = newstate.Beta;
      D_ = newstate.D;
      Delta_ = newstate.Delta;
      LUUTAU_ = newstate.LUUTAU;
      ipiv_ = newstate.ipiv;
      rTz_old_ = newstate.rTz_old;
    }
    else {

      TEUCHOS_TEST_FOR_EXCEPTION(newstate.P == Teuchos::null,std::invalid_argument,
                         "Belos::RCGIter::initialize(): RCGIterState does not have P initialized.");

      TEUCHOS_TEST_FOR_EXCEPTION(newstate.Ap == Teuchos::null,std::invalid_argument,
                         "Belos::RCGIter::initialize(): RCGIterState does not have Ap initialized.");

      TEUCHOS_TEST_FOR_EXCEPTION(newstate.r == Teuchos::null,std::invalid_argument,
                         "Belos::RCGIter::initialize(): RCGIterState does not have r initialized.");

      TEUCHOS_TEST_FOR_EXCEPTION(newstate.z == Teuchos::null,std::invalid_argument,
                         "Belos::RCGIter::initialize(): RCGIterState does not have z initialized.");

      TEUCHOS_TEST_FOR_EXCEPTION(newstate.U == Teuchos::null,std::invalid_argument,
                         "Belos::RCGIter::initialize(): RCGIterState does not have U initialized.");

      TEUCHOS_TEST_FOR_EXCEPTION(newstate.AU == Teuchos::null,std::invalid_argument,
                         "Belos::RCGIter::initialize(): RCGIterState does not have AU initialized.");

      TEUCHOS_TEST_FOR_EXCEPTION(newstate.Alpha == Teuchos::null,std::invalid_argument,
                         "Belos::RCGIter::initialize(): RCGIterState does not have Alpha initialized.");

      TEUCHOS_TEST_FOR_EXCEPTION(newstate.Beta == Teuchos::null,std::invalid_argument,
                         "Belos::RCGIter::initialize(): RCGIterState does not have Beta initialized.");

      TEUCHOS_TEST_FOR_EXCEPTION(newstate.D == Teuchos::null,std::invalid_argument,
                         "Belos::RCGIter::initialize(): RCGIterState does not have D initialized.");

      TEUCHOS_TEST_FOR_EXCEPTION(newstate.Delta == Teuchos::null,std::invalid_argument,
                         "Belos::RCGIter::initialize(): RCGIterState does not have Delta initialized.");

      TEUCHOS_TEST_FOR_EXCEPTION(newstate.LUUTAU == Teuchos::null,std::invalid_argument,
                         "Belos::RCGIter::initialize(): RCGIterState does not have LUUTAU initialized.");

      TEUCHOS_TEST_FOR_EXCEPTION(newstate.ipiv == Teuchos::null,std::invalid_argument,
                         "Belos::RCGIter::initialize(): RCGIterState does not have ipiv initialized.");

      TEUCHOS_TEST_FOR_EXCEPTION(newstate.rTz_old == Teuchos::null,std::invalid_argument,
                         "Belos::RCGIter::initialize(): RCGIterState does not have rTz_old initialized.");

    }

    // the solver is initialized
    initialized_ = true;

  }

  //////////////////////////////////////////////////////////////////////////////////////////////////
  // Iterate until the status test informs us we should stop.
  template <class ScalarType, class MV, class OP>
  void RCGIter<ScalarType,MV,OP>::iterate()
  {
    TEUCHOS_TEST_FOR_EXCEPTION( initialized_ == false, RCGIterFailure,
                        "Belos::RCGIter::iterate(): RCGIter class not initialized." );

    // We'll need LAPACK
    Teuchos::LAPACK<int,ScalarType> lapack;

    // Create convenience variables for zero and one.
    ScalarType one = Teuchos::ScalarTraits<ScalarType>::one();
    ScalarType zero = Teuchos::ScalarTraits<ScalarType>::zero();

    // Allocate memory for scalars
    std::vector<int> index(1);
    Teuchos::SerialDenseMatrix<int,ScalarType> pAp(1,1), rTz(1,1);

    // Get the current solution std::vector.
    Teuchos::RCP<MV> cur_soln_vec = lp_->getCurrLHSVec();

    // Check that the current solution std::vector only has one column.
    TEUCHOS_TEST_FOR_EXCEPTION( MVT::GetNumberVecs(*cur_soln_vec) != 1, RCGIterFailure,
                        "Belos::RCGIter::iterate(): current linear system has more than one std::vector!" );

    // Compute the current search dimension.
    int searchDim = numBlocks_+1;

    // index of iteration within current cycle
    int i_ = 0;

    ////////////////////////////////////////////////////////////////
    // iterate until the status test tells us to stop.
    //
    // also break if our basis is full
    //
    Teuchos::RCP<const MV> p_ = Teuchos::null;
    Teuchos::RCP<MV> pnext_ = Teuchos::null;
    while (stest_->checkStatus(this) != Passed && curDim_+1 <= searchDim) {

      // Ap = A*p;
      index.resize( 1 );
      index[0] = i_;
      p_  = MVT::CloneView( *P_,  index );
      lp_->applyOp( *p_, *Ap_ );

      // d = p'*Ap;
      MVT::MvTransMv( one, *p_, *Ap_, pAp );
      (*D_)(i_,0) = pAp(0,0);

      // alpha = rTz_old / pAp
      (*Alpha_)(i_,0) = (*rTz_old_)(0,0) / pAp(0,0);

      // Check that alpha is a positive number
      TEUCHOS_TEST_FOR_EXCEPTION( SCT::real(pAp(0,0)) <= zero, RCGIterFailure, "Belos::RCGIter::iterate(): non-positive value for p^H*A*p encountered!" );

      // x = x + (alpha * p);
      MVT::MvAddMv( one, *cur_soln_vec, (*Alpha_)(i_,0), *p_, *cur_soln_vec );
      lp_->updateSolution();

      // r = r - (alpha * Ap);
      MVT::MvAddMv( one, *r_, -(*Alpha_)(i_,0), *Ap_, *r_ );

      std::vector<MagnitudeType> norm(1);
      MVT::MvNorm( *r_, norm );
//printf("i = %i\tnorm(r) = %e\n",i_,norm[0]);

      // z = M\r
      if ( lp_->getLeftPrec() != Teuchos::null ) {
        lp_->applyLeftPrec( *r_, *z_ );
      }
      else if ( lp_->getRightPrec() != Teuchos::null ) {
        lp_->applyRightPrec( *r_, *z_ );
      }
      else {
        z_ = r_;
      }

      // rTz_new = r'*z;
      MVT::MvTransMv( one, *r_, *z_, rTz );

      // beta = rTz_new/rTz_old;
      (*Beta_)(i_,0) = rTz(0,0) / (*rTz_old_)(0,0);

      // rTz_old = rTz_new;
      (*rTz_old_)(0,0) = rTz(0,0);

      // get pointer for next p
      index.resize( 1 );
      index[0] = i_+1;
      pnext_ = MVT::CloneViewNonConst( *P_,  index );

      if (existU_) {
        // mu = UTAU \ (AU'*z);
        Teuchos::SerialDenseMatrix<int,ScalarType> mu( Teuchos::View, *Delta_, recycleBlocks_, 1, 0, i_ );
        MVT::MvTransMv( one, *AU_, *z_, mu );
        char TRANS = 'N';
        int info;
        lapack.GETRS( TRANS, recycleBlocks_, 1, LUUTAU_->values(), LUUTAU_->stride(), &(*ipiv_)[0], mu.values(), mu.stride(), &info );
        TEUCHOS_TEST_FOR_EXCEPTION(info != 0, RCGIterLAPACKFailure,
                           "Belos::RCGIter::solve(): LAPACK GETRS failed to compute a solution.");
        // p = -(U*mu) + (beta*p) + z (in two steps)
        // p = (beta*p) + z;
        MVT::MvAddMv( (*Beta_)(i_,0), *p_, one, *z_, *pnext_ );
        // pnext = -(U*mu) + (one)*pnext;
        MVT::MvTimesMatAddMv( -one, *U_, mu, one, *pnext_ );
      }
      else {
        // p = (beta*p) + z;
        MVT::MvAddMv( (*Beta_)(i_,0), *p_, one, *z_, *pnext_ );
      }

      // Done with this view; release pointer
      p_ = Teuchos::null;
      pnext_ = Teuchos::null;

      // increment iteration count and dimension index
      i_++;
      iter_++;
      curDim_++;

    } // end while (statusTest == false)

   }

} // end Belos namespace

#endif /* BELOS_RCG_ITER_HPP */