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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.interfaces.decomposition;

import org.ejml.data.Matrix;

/**
 * 

* Similar to {@link QRDecomposition} but it can handle the rank deficient case by * performing column pivots during the decomposition. The final decomposition has the * following structure:
* A*P=Q*R
* where A is the original matrix, P is a pivot matrix, Q is an orthogonal matrix, and R is * upper triangular. *

* * @author Peter Abeles */ public interface QRPDecomposition extends QRDecomposition { /** * Returns the rank as determined by the algorithm. This is dependent upon a fixed threshold * and might not be appropriate for some applications. * * @return Matrix's rank */ int getRank(); /** * Ordering of each column after pivoting. The current column i was original at column pivot[i]. * * @return Order of columns. */ int[] getColPivots(); /** * Creates the column pivot matrix. * * @param P Optional storage for pivot matrix. If null a new matrix will be created. * @return The pivot matrix. */ T getColPivotMatrix(T P); }




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