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Time Series Analysis in Java
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/*
* Copyright (c) 2016 Jacob Rachiele
*
* Permission is hereby granted, free of charge, to any person obtaining a copy of this software
* and associated documentation files (the "Software"), to deal in the Software without restriction
* including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense
* and/or sell copies of the Software, and to permit persons to whom the Software is furnished to
* do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all copies or
* substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED
* INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR
* PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
* LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
* TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE
* USE OR OTHER DEALINGS IN THE SOFTWARE.
*
* Contributors:
*
* Jacob Rachiele
*/
package linear.doubles;
/**
* Static methods for creating Matrix objects.
*
* @author jrachiele
*/
public final class Matrices {
private Matrices() {
}
/**
* Create a new identity matrix with the given dimension.
*
* @param n the dimension of the identity matrix.
* @return a new identity matrix with the given dimension.
*/
public static Matrix identity(final int n) {
final double[] data = new double[n * n];
for (int i = 0; i < n; i++) {
data[i * n + i] = 1.0;
}
return new Matrix(n, n, data);
}
}