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Fast double-precision vector and matrix maths library for Java, supporting N-dimensional numeric arrays.

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package mikera.matrixx.decompose;

import mikera.matrixx.AMatrix;
import mikera.vectorz.AVector;

/**
 * Interface representing the result of an SVD decomposition
 * 
 * @author Mike
 */
public interface ISVDResult {
	/**
     * 

* Returns the orthogonal 'U' matrix. *

* @return An orthogonal matrix. */ public AMatrix getU(); /** * Returns a diagonal matrix with the singular values. Order of the singular values * is not guaranteed. * * @return matrix with singular values along the diagonal. */ public AMatrix getS(); /** *

* Returns the orthogonal 'V' matrix. *

* @return An orthogonal matrix. */ public AMatrix getV(); /** * Returns an array containing singular values. The non zero singular values are * the square roots of the non-zero eigenvalues of MTM and MMT, * where M is the input matrix. * * @return */ public AVector getSingularValues(); }




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