// Ceres Solver - A fast non-linear least squares minimizer // Copyright 2014 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. // * Neither the name of Google Inc. nor the names of its contributors may be // used to endorse or promote products derived from this software without // specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT OWNER OR 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. // // Author: richie.stebbing@gmail.com (Richard Stebbing) #include #include "ceres/dynamic_compressed_row_sparse_matrix.h" namespace ceres { namespace internal { DynamicCompressedRowSparseMatrix::DynamicCompressedRowSparseMatrix( int num_rows, int num_cols, int initial_max_num_nonzeros) : CompressedRowSparseMatrix(num_rows, num_cols, initial_max_num_nonzeros) { dynamic_cols_.resize(num_rows); dynamic_values_.resize(num_rows); } void DynamicCompressedRowSparseMatrix::InsertEntry(int row, int col, const double& value) { CHECK_GE(row, 0); CHECK_LT(row, num_rows()); CHECK_GE(col, 0); CHECK_LT(col, num_cols()); dynamic_cols_[row].push_back(col); dynamic_values_[row].push_back(value); } void DynamicCompressedRowSparseMatrix::ClearRows(int row_start, int num_rows) { for (int r = 0; r < num_rows; ++r) { const int i = row_start + r; CHECK_GE(i, 0); CHECK_LT(i, this->num_rows()); dynamic_cols_[i].resize(0); dynamic_values_[i].resize(0); } } void DynamicCompressedRowSparseMatrix::Finalize(int num_additional_elements) { // `num_additional_elements` is provided as an argument so that additional // storage can be reserved when it is known by the finalizer. CHECK_GE(num_additional_elements, 0); // Count the number of non-zeros and resize `cols_` and `values_`. int num_jacobian_nonzeros = 0; for (int i = 0; i < dynamic_cols_.size(); ++i) { num_jacobian_nonzeros += dynamic_cols_[i].size(); } SetMaxNumNonZeros(num_jacobian_nonzeros + num_additional_elements); // Flatten `dynamic_cols_` into `cols_` and `dynamic_values_` // into `values_`. int index_into_values_and_cols = 0; for (int i = 0; i < num_rows(); ++i) { mutable_rows()[i] = index_into_values_and_cols; const int num_nonzero_columns = dynamic_cols_[i].size(); if (num_nonzero_columns > 0) { memcpy(mutable_cols() + index_into_values_and_cols, &dynamic_cols_[i][0], dynamic_cols_[i].size() * sizeof(dynamic_cols_[0][0])); memcpy(mutable_values() + index_into_values_and_cols, &dynamic_values_[i][0], dynamic_values_[i].size() * sizeof(dynamic_values_[0][0])); index_into_values_and_cols += dynamic_cols_[i].size(); } } mutable_rows()[num_rows()] = index_into_values_and_cols; CHECK_EQ(index_into_values_and_cols, num_jacobian_nonzeros) << "Ceres bug: final index into values_ and cols_ should be equal to " << "the number of jacobian nonzeros. Please contact the developers!"; } } // namespace internal } // namespace ceres