/*
* 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() + "."
);
}
}
}