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

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/*
 * 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.data;

/**
 * A generic abstract class for matrices whose data is stored in a single 1D array of floats.  The
 * format of the elements in this array is not specified.  For example row major, column major,
 * and block row major are all common formats.
 *
 * @author Peter Abeles
 */
public abstract class FMatrixD1 implements ReshapeMatrix, FMatrix {
    /**
     * Where the raw data for the matrix is stored.  The format is type dependent.
     */
    public float[] data;

    /**
     * Number of rows in the matrix.
     */
    public int numRows;
    /**
     * Number of columns in the matrix.
     */
    public int numCols;

    /**
     * Used to get a reference to the internal data.
     *
     * @return Reference to the matrix's data.
     */
    public float[] getData() {
        return data;
    }

	/**
	 * Changes the internal array reference.
	 */
	public void setData( float[] data ) {
		this.data = data;
	}

    /**
     * Returns the internal array index for the specified row and column.
     *
     * @param row Row index.
     * @param col Column index.
     * @return Internal array index.
     */
    public abstract int getIndex( int row, int col );

    /**
     * Sets the value of this matrix to be the same as the value of the provided matrix.  Both
     * matrices must have the same shape:
*
* aij = bij
*
* * @param b The matrix that this matrix is to be set equal to. */ public void set( FMatrixD1 b ) { this.reshape(b.numRows,b.numCols); int dataLength = b.getNumElements(); System.arraycopy(b.data, 0, this.data, 0, dataLength); } /** * Returns the value of the matrix at the specified internal array index. The element at which row and column * returned by this function depends upon the matrix's internal structure, e.g. row-major, column-major, or block. * * @param index Internal array index. * @return Value at the specified index. */ public float get( int index ) { return data[index]; } /** * Sets the element's value at the specified index. The element at which row and column * modified by this function depends upon the matrix's internal structure, e.g. row-major, column-major, or block. * * @param index Index of element that is to be set. * @param val The new value of the index. */ public float set( int index , float val ) { // See benchmarkFunctionReturn. Pointless return does not degrade performance. Tested on JDK 1.6f.0_21 return data[index] = val; } /** *

* Adds the specified value to the internal data array at the specified index.
*
* Equivalent to: this.data[index] += val; *

* *

* Intended for use in highly optimized code. The row/column coordinate of the modified element is * dependent upon the matrix's internal structure. *

* * @param index The index which is being modified. * @param val The value that is being added. */ public float plus( int index , float val ) { // See benchmarkFunctionReturn. Pointless return does not degrade performance. Tested on JDK 1.6f.0_21 return data[index] += val; } /** *

* Subtracts the specified value to the internal data array at the specified index.
*
* Equivalent to: this.data[index] -= val; *

* *

* Intended for use in highly optimized code. The row/column coordinate of the modified element is * dependent upon the matrix's internal structure. *

* * @param index The index which is being modified. * @param val The value that is being subtracted. */ public float minus( int index , float val ) { // See benchmarkFunctionReturn. Pointless return does not degrade performance. Tested on JDK 1.6f.0_21 return data[index] -= val; } /** *

* Multiplies the specified value to the internal data array at the specified index.
*
* Equivalent to: this.data[index] *= val; *

* *

* Intended for use in highly optimized code. The row/column coordinate of the modified element is * dependent upon the matrix's internal structure. *

* * @param index The index which is being modified. * @param val The value that is being multiplied. */ public float times( int index , float val ) { // See benchmarkFunctionReturn. Pointless return does not degrade performance. Tested on JDK 1.6f.0_21 return data[index] *= val; } /** *

* Divides the specified value to the internal data array at the specified index.
*
* Equivalent to: this.data[index] /= val; *

* *

* Intended for use in highly optimized code. The row/column coordinate of the modified element is * dependent upon the matrix's internal structure. *

* * @param index The index which is being modified. * @param val The value that is being divided. */ public float div( int index , float val ) { // See benchmarkFunctionReturn. Pointless return does not degrade performance. Tested on JDK 1.6f.0_21 return data[index] /= val; } /** *

* Changes the number of rows and columns in the matrix, allowing its size to grow or shrink. * If the saveValues flag is set to true, then the previous values will be maintained, but * reassigned to new elements in a row-major ordering. If saveValues is false values will only * be maintained when the requested size is less than or equal to the internal array size. * The primary use for this function is to encourage data reuse and avoid unnecessarily declaring * and initialization of new memory. *

* *

* Examples:
* [ 1 2 ; 3 4 ] → reshape( 2 , 3 , true ) = [ 1 2 3 ; 4 0 0 ]
* [ 1 2 ; 3 4 ] → reshape( 1 , 2 , true ) = [ 1 2 ]
* [ 1 2 ; 3 4 ] → reshape( 1 , 2 , false ) = [ 1 2 ]
* [ 1 2 ; 3 4 ] → reshape( 2 , 3 , false ) = [ 0 0 0 ; 0 0 0 ] *

* * @param numRows The new number of rows in the matrix. * @param numCols The new number of columns in the matrix. * @param saveValues If true then the value of each element will be save using a row-major reordering. Typically this should be false. */ public abstract void reshape(int numRows, int numCols, boolean saveValues); /** * Equivalent to invoking reshape(numRows,numCols,false); * * @param numRows The new number of rows in the matrix. * @param numCols The new number of columns in the matrix. */ @Override public void reshape( int numRows , int numCols ) { reshape(numRows,numCols,false); } /** * Creates a new iterator for traversing through a submatrix inside this matrix. It can be traversed * by row or by column. Range of elements is inclusive, e.g. minRow = 0 and maxRow = 1 will include rows * 0 and 1. The iteration starts at (minRow,minCol) and ends at (maxRow,maxCol) * * @param rowMajor true means it will traverse through the submatrix by row first, false by columns. * @param minRow first row it will start at. * @param minCol first column it will start at. * @param maxRow last row it will stop at. * @param maxCol last column it will stop at. * @return A new MatrixIterator */ public FMatrixIterator iterator(boolean rowMajor, int minRow, int minCol, int maxRow, int maxCol) { return new FMatrixIterator(this,rowMajor, minRow, minCol, maxRow, maxCol); } /** * {@inheritDoc} */ @Override public int getNumRows() { return numRows; } /** * {@inheritDoc} */ @Override public int getNumCols() { return numCols; } /** * Sets the number of rows. * * @param numRows Number of rows */ public void setNumRows(int numRows) { this.numRows = numRows; } /** * Sets the number of columns. * * @param numCols Number of columns */ public void setNumCols(int numCols) { this.numCols = numCols; } }




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