Singular value decomposition: Difference between revisions
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=={{header|Java}}==
{{works with|Java|10+}}
{{libheader|Jama}}
The library "Jama" can decompose m x n matrix though the example here is a 2 x 2 matrix.
If you want to use lower Java version, you need to replace the first "var" with "Matrix" and the second with "Singular
ValueDecomposition". You need also import "Jama.SingularValueDecomposition" and change the name of "public class"
<syntaxhighlight lang="java">
import Jama.Matrix;
public class SingularValueDecomposition {
public static void main(String[] args) {
double[][] matrixArray = {{3, 0}, {4, 5}};
var matrix = new Matrix(matrixArray);
var svd = matrix.svd();
svd.getU().print(0, 10); // The number of digits after the decimal is 10.
svd.getS().print(0, 10);
svd.getV().print(0, 10);
}
}
</syntaxhighlight>
{{out}}
<pre>
0.3162277660 0.9486832981
0.9486832981 -0.3162277660
6.7082039325 0.0000000000
0.0000000000 2.2360679775
0.7071067812 0.7071067812
0.7071067812 -0.7071067812
</pre>
=={{header|Julia}}==
Julia has an svd() function as part of its built-in LinearAlgebra package.
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