/* * 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.iterator.VectorIterator; import org.la4j.Matrix; import org.la4j.matrix.DenseMatrix; import org.la4j.matrix.ColumnMajorSparseMatrix; import org.la4j.matrix.RowMajorSparseMatrix; import org.la4j.Vector; import org.la4j.Vectors; import org.la4j.vector.DenseVector; import org.la4j.operation.VectorMatrixOperation; import org.la4j.vector.SparseVector; import java.util.Iterator; public class OoPlaceVectorByMatrixMultiplication extends VectorMatrixOperation<Vector> { @Override public Vector apply(SparseVector a, DenseMatrix b) { Vector result = DenseVector.zero(b.columns()); for (int j = 0; j < b.columns(); j++) { double acc = 0.0; VectorIterator it = a.nonZeroIterator(); while (it.hasNext()) { double x = it.next(); int i = it.index(); acc += x * b.get(i, j); } result.set(j, acc); } return result; } @Override public Vector apply(SparseVector a, RowMajorSparseMatrix b) { // TODO: use sequential writes Vector result = a.blankOfLength(b.columns()); VectorIterator these = a.nonZeroIterator(); while (these.hasNext()) { double x = these.next(); int i = these.index(); VectorIterator those = b.iteratorOfRow(i); while (those.hasNext()) { double y = those.next(); int j = those.index(); result.updateAt(j, Vectors.asPlusFunction(x * y)); } } return result; } @Override public Vector apply(SparseVector a, ColumnMajorSparseMatrix b) { Vector result = a.blankOfLength(b.columns()); Iterator<Integer> columns = b.iteratorOrNonZeroColumns(); while (columns.hasNext()) { int j = columns.next(); VectorIterator these = a.nonZeroIterator(); VectorIterator those = b.nonZeroIteratorOfColumn(j); result.set(j, these.innerProduct(those)); } return result; } @Override public Vector apply(DenseVector a, DenseMatrix b) { Vector result = a.blankOfLength(b.columns()); for (int j = 0; j < b.columns(); j++) { double acc = 0.0; for (int i = 0; i < b.rows(); i++) { acc += a.get(i) * b.get(i, j); } result.set(j, acc); } return result; } @Override public Vector apply(DenseVector a, RowMajorSparseMatrix b) { // TODO: use sequential writes Vector result = SparseVector.zero(b.columns()); MatrixIterator it = b.rowMajorIterator(); while (it.hasNext()) { double x = it.next(); int i = it.rowIndex(); int j = it.columnIndex(); result.updateAt(j, Vectors.asPlusFunction(x * a.get(i))); } return result; } @Override public Vector apply(DenseVector a, ColumnMajorSparseMatrix b) { Vector result = SparseVector.zero(b.columns()); Iterator<Integer> columns = b.iteratorOrNonZeroColumns(); while (columns.hasNext()) { int j = columns.next(); VectorIterator it = b.nonZeroIteratorOfColumn(j); double acc = 0.0; while (it.hasNext()) { double x = it.next(); int i = it.index(); acc += x * a.get(i); } result.set(j, acc); } return result; } @Override public void ensureApplicableTo(Vector a, Matrix b) { if (a.length() != b.rows()) { throw new IllegalArgumentException( "Given vector should have the same length as number of rows in the given matrix: " + a.length() + " does not equal to " + b.rows() + "." ); } } }