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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) 2009-2020, 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.mult;

import javax.annotation.Generated;
import org.ejml.data.FMatrix1Row;

/**
 * Operations that are performed on a submatrix inside a larger matrix.
 *
 * @author Peter Abeles
 */
@Generated("org.ejml.dense.row.mult.SubmatrixOps_DDRM")
public class SubmatrixOps_FDRM {

    public static void setSubMatrix( FMatrix1Row src, FMatrix1Row dst,
                                     int srcRow, int srcCol, int dstRow, int dstCol,
                                     int numSubRows, int numSubCols ) {
        for (int i = 0; i < numSubRows; i++) {
            for (int j = 0; j < numSubCols; j++) {
                float val = src.get(i + srcRow, j + srcCol);
                dst.set(i + dstRow, j + dstCol, val);
            }
        }
    }
}