1 // Ceres Solver - A fast non-linear least squares minimizer
2 // Copyright 2010, 2011, 2012 Google Inc. All rights reserved.
3 // http://code.google.com/p/ceres-solver/
4 //
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6 // modification, are permitted provided that the following conditions are met:
7 //
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9 //   this list of conditions and the following disclaimer.
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11 //   this list of conditions and the following disclaimer in the documentation
12 //   and/or other materials provided with the distribution.
13 // * Neither the name of Google Inc. nor the names of its contributors may be
14 //   used to endorse or promote products derived from this software without
15 //   specific prior written permission.
16 //
17 // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
18 // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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28 //
29 // Author: keir@google.com (Keir Mierle)
30 
31 #include <vector>
32 #include "ceres/block_evaluate_preparer.h"
33 #include "ceres/block_jacobian_writer.h"
34 #include "ceres/compressed_row_jacobian_writer.h"
35 #include "ceres/compressed_row_sparse_matrix.h"
36 #include "ceres/crs_matrix.h"
37 #include "ceres/dense_jacobian_writer.h"
38 #include "ceres/dynamic_compressed_row_finalizer.h"
39 #include "ceres/dynamic_compressed_row_jacobian_writer.h"
40 #include "ceres/evaluator.h"
41 #include "ceres/internal/port.h"
42 #include "ceres/program_evaluator.h"
43 #include "ceres/scratch_evaluate_preparer.h"
44 #include "glog/logging.h"
45 
46 namespace ceres {
47 namespace internal {
48 
~Evaluator()49 Evaluator::~Evaluator() {}
50 
Create(const Evaluator::Options & options,Program * program,string * error)51 Evaluator* Evaluator::Create(const Evaluator::Options& options,
52                              Program* program,
53                              string* error) {
54   switch (options.linear_solver_type) {
55     case DENSE_QR:
56     case DENSE_NORMAL_CHOLESKY:
57       return new ProgramEvaluator<ScratchEvaluatePreparer,
58                                   DenseJacobianWriter>(options,
59                                                        program);
60     case DENSE_SCHUR:
61     case SPARSE_SCHUR:
62     case ITERATIVE_SCHUR:
63     case CGNR:
64       return new ProgramEvaluator<BlockEvaluatePreparer,
65                                   BlockJacobianWriter>(options,
66                                                        program);
67     case SPARSE_NORMAL_CHOLESKY:
68       if (options.dynamic_sparsity) {
69         return new ProgramEvaluator<ScratchEvaluatePreparer,
70                                     DynamicCompressedRowJacobianWriter,
71                                     DynamicCompressedRowJacobianFinalizer>(
72                                         options, program);
73       } else {
74         return new ProgramEvaluator<ScratchEvaluatePreparer,
75                                     CompressedRowJacobianWriter>(options,
76                                                                  program);
77       }
78 
79     default:
80       *error = "Invalid Linear Solver Type. Unable to create evaluator.";
81       return NULL;
82   }
83 }
84 
85 }  // namespace internal
86 }  // namespace ceres
87