1 // Ceres Solver - A fast non-linear least squares minimizer
2 // Copyright 2015 Google Inc. All rights reserved.
3 // http://ceres-solver.org/
5 // Redistribution and use in source and binary forms, with or without
6 // modification, are permitted provided that the following conditions are met:
8 // * Redistributions of source code must retain the above copyright notice,
9 // this list of conditions and the following disclaimer.
10 // * Redistributions in binary form must reproduce the above copyright notice,
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.
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
19 // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
20 // ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
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24 // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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29 // Author: sameeragarwal@google.com (Sameer Agarwal)
31 #include "ceres/preconditioner.h"
32 #include "glog/logging.h"
37 Preconditioner::~Preconditioner() {
40 PreconditionerType Preconditioner::PreconditionerForZeroEBlocks(
41 PreconditionerType preconditioner_type) {
42 if (preconditioner_type == SCHUR_JACOBI ||
43 preconditioner_type == CLUSTER_JACOBI ||
44 preconditioner_type == CLUSTER_TRIDIAGONAL) {
47 return preconditioner_type;
50 SparseMatrixPreconditionerWrapper::SparseMatrixPreconditionerWrapper(
51 const SparseMatrix* matrix)
52 : matrix_(CHECK_NOTNULL(matrix)) {
55 SparseMatrixPreconditionerWrapper::~SparseMatrixPreconditionerWrapper() {
58 bool SparseMatrixPreconditionerWrapper::UpdateImpl(const SparseMatrix& A,
63 void SparseMatrixPreconditionerWrapper::RightMultiply(const double* x,
65 matrix_->RightMultiply(x, y);
68 int SparseMatrixPreconditionerWrapper::num_rows() const {
69 return matrix_->num_rows();
72 } // namespace internal