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A fast and easy to use dense and sparse matrix linear algebra library written in Java.

There is a newer version: 0.43.1

/*
 * Copyright (c) 2009-2017, Peter Abeles. All Rights Reserved.
 *
 * This file is part of Efficient Java Matrix Library (EJML).
 *
 * 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 org.ejml.dense.row.misc;

import org.ejml.data.FMatrixRMaj;

/**
 * Implementations of common ops routines for {@link FMatrixRMaj}.  In general
 * there is no need to directly invoke these functions.
 *
 * @author Peter Abeles
 */
public class ImplCommonOps_FDRM {
    public static void extract(FMatrixRMaj src,
                               int srcY0, int srcX0,
                               FMatrixRMaj dst,
                               int dstY0, int dstX0,
                               int numRows, int numCols)
    {
         for( int y = 0; y < numRows; y++ ) {
             int indexSrc = src.getIndex(y+srcY0,srcX0);
             int indexDst = dst.getIndex(y+dstY0,dstX0);
             System.arraycopy(src.data,indexSrc,dst.data,indexDst, numCols);
         }
    }
}