com.anrisoftware.globalpom.data.MatrixDataOps Maven / Gradle / Ivy
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Arbitrary data for mathematical calculations.
/*
* Copyright 2016 Erwin Müller
*
* 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.
*/
package com.anrisoftware.globalpom.data;
import org.ejml.data.DenseMatrix64F;
import org.ejml.data.ReshapeMatrix64F;
import org.ejml.ops.CommonOps;
/**
* Matrix data operations.
*
* @author Erwin Mueller, [email protected]
* @since 2.1
*/
public final class MatrixDataOps {
/**
* Copies a splice of data from this data.
*
* @param dataFactory
* the {@link MatrixDataFactory}.
*
* @param rowOffset
* the row offset.
*
* @param rows
* the count of rows.
*
* @param columnOffset
* the column offset.
*
* @param columns
* the count of columns.
*
* @return the {@link Data}.
*/
public static Data copy(MatrixDataFactory dataFactory, Data source,
int rowOffset, int rows, int columnOffset, int columns) {
int srcX0 = columnOffset;
int srcX1 = columnOffset + columns;
int srcY0 = rowOffset;
int srcY1 = rowOffset + rows;
DenseMatrix64F m;
ReshapeMatrix64F matrix = source.getMatrix();
if (source.getMatrix() instanceof DenseMatrix64F) {
m = (DenseMatrix64F) matrix;
} else {
m = new DenseMatrix64F(matrix);
}
ReshapeMatrix64F result;
result = CommonOps.extract(m, srcY0, srcY1, srcX0, srcX1);
return dataFactory.create(result);
}
}
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