/* * Copyright 2011-2014, by Vladimir Kostyukov and Contributors. * * This file is part of la4j project (http://la4j.org) * * Licensed under the Apache License, Version 2.0 (the "License"); * You may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * * Contributor(s): - * */ package org.la4j.operation.ooplace; import org.la4j.iterator.MatrixIterator; import org.la4j.Matrix; import org.la4j.matrix.DenseMatrix; import org.la4j.operation.SimpleMatrixMatrixOperation; import org.la4j.matrix.ColumnMajorSparseMatrix; import org.la4j.matrix.RowMajorSparseMatrix; import org.la4j.matrix.SparseMatrix; public class OoPlaceMatricesSubtraction extends SimpleMatrixMatrixOperation<Matrix> { @Override public Matrix apply(DenseMatrix a, DenseMatrix b) { Matrix result = a.blank(); for (int i = 0; i < a.rows(); i++) { for (int j = 0; j < a.columns(); j++) { result.set(i, j, a.get(i, j) - b.get(i, j)); } } return result; } @Override public Matrix applySimple(DenseMatrix a, SparseMatrix b) { Matrix result = a.copy(); MatrixIterator it = b.nonZeroIterator(); while (it.hasNext()) { double x = it.next(); int i = it.rowIndex(); int j = it.columnIndex(); result.set(i, j, result.get(i, j) - x); } return result; } @Override public Matrix applySimple(SparseMatrix a, DenseMatrix b) { Matrix result = b.multiply(-1.0); MatrixIterator it = a.nonZeroIterator(); while (it.hasNext()) { double x = it.next(); int i = it.rowIndex(); int j = it.columnIndex(); result.set(i, j, result.get(i, j) + x); } return result; } @Override public Matrix applySimple(SparseMatrix a, SparseMatrix b) { Matrix result = a.blank(); MatrixIterator these = a.nonZeroIterator(); MatrixIterator those = b.nonZeroIterator(); MatrixIterator both = these.orElseSubtract(those); while (both.hasNext()) { double x = both.next(); int i = both.rowIndex(); int j = both.columnIndex(); result.set(i, j, x); } return result; } @Override public Matrix apply(RowMajorSparseMatrix a, ColumnMajorSparseMatrix b) { Matrix result = a.blank(); MatrixIterator these = a.nonZeroRowMajorIterator(); MatrixIterator those = b.nonZeroRowMajorIterator(); MatrixIterator both = these.orElseSubtract(those); while (both.hasNext()) { double x = both.next(); int i = both.rowIndex(); int j = both.columnIndex(); result.set(i, j, x); } return result; } @Override public Matrix apply(ColumnMajorSparseMatrix a, RowMajorSparseMatrix b) { Matrix result = a.blank(); MatrixIterator these = a.nonZeroColumnMajorIterator(); MatrixIterator those = b.nonZeroColumnMajorIterator(); MatrixIterator both = these.orElseSubtract(those); while (both.hasNext()) { double x = both.next(); int i = both.rowIndex(); int j = both.columnIndex(); result.set(i, j, x); } return result; } @Override public void ensureApplicableTo(Matrix a, Matrix b) { if (a.rows() != b.rows() || a.columns() != b.columns()) { throw new IllegalArgumentException( "Given matrices should have the same shape: " + a.rows() + "x" + a.columns() + " does not equal to " + b.rows() + "x" + b.columns() + "." ); } } }