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

There is a newer version: 0.67.0

package mikera.matrixx.decompose;

import mikera.matrixx.impl.PermutationMatrix;

/**
 * Interface for results of LUP decomposition

 * 
 * LUP Decomposition refactors the original matrix such that:

 * 
 P^T*L*U = A where P is a pivot matrix, L
 * is a lower triangular matrix, U is an upper triangular matrix and A is the
 * original matrix.
 * 
 * 
 * 

 * LUP Decomposition is useful since once the decomposition has been performed
 * linear equations can be quickly solved and the original matrix A inverted.
 * Different algorithms can be selected to perform the decomposition, all will
 * have the same end result.
 * 
 *
 * @author Peter Abeles
 */
public interface ILUPResult extends ILUResult {
	
	  /**
	   * 
	   * Returns the P matrix from the decomposition.
	   * 
	   *
	   * @return The P matrix.
	   */
	  public PermutationMatrix getP();

}