// Ceres Solver - A fast non-linear least squares minimizer
// Copyright 2013 Google Inc. All rights reserved.
// http://code.google.com/p/ceres-solver/
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are met:
//
// * Redistributions of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
// * 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.
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// used to endorse or promote products derived from this software without
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//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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// Author: sameeragarwal@google.com (Sameer Agarwal)
#include "ceres/preconditioner.h"
#include "glog/logging.h"
namespace ceres {
namespace internal {
Preconditioner::~Preconditioner() {
}
PreconditionerType Preconditioner::PreconditionerForZeroEBlocks(
PreconditionerType preconditioner_type) {
if (preconditioner_type == SCHUR_JACOBI ||
preconditioner_type == CLUSTER_JACOBI ||
preconditioner_type == CLUSTER_TRIDIAGONAL) {
return JACOBI;
}
return preconditioner_type;
}
SparseMatrixPreconditionerWrapper::SparseMatrixPreconditionerWrapper(
const SparseMatrix* matrix)
: matrix_(CHECK_NOTNULL(matrix)) {
}
SparseMatrixPreconditionerWrapper::~SparseMatrixPreconditionerWrapper() {
}
bool SparseMatrixPreconditionerWrapper::UpdateImpl(const SparseMatrix& A,
const double* D) {
return true;
}
void SparseMatrixPreconditionerWrapper::RightMultiply(const double* x,
double* y) const {
matrix_->RightMultiply(x, y);
}
int SparseMatrixPreconditionerWrapper::num_rows() const {
return matrix_->num_rows();
}
} // namespace internal
} // namespace ceres