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Java example source code file (FieldDecompositionSolver.java)

This example Java source code file (FieldDecompositionSolver.java) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Learn more about this Java project at its project page.

Java - Java tags/keywords

fielddecompositionsolver, fieldelement, fieldmatrix, fieldvector

The FieldDecompositionSolver.java Java example source code

/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You 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.apache.commons.math3.linear;

import org.apache.commons.math3.FieldElement;


/**
 * Interface handling decomposition algorithms that can solve A × X = B.
 * <p>Decomposition algorithms decompose an A matrix has a product of several specific
 * matrices from which they can solve A × X = B in least squares sense: they find X
 * such that ||A × X - B|| is minimal.</p>
 * <p>Some solvers like {@link FieldLUDecomposition} can only find the solution for
 * square matrices and when the solution is an exact linear solution, i.e. when
 * ||A × X - B|| is exactly 0. Other solvers can also find solutions
 * with non-square matrix A and with non-null minimal norm. If an exact linear
 * solution exists it is also the minimal norm solution.</p>
 *
 * @param <T> the type of the field elements
 * @since 2.0
 */
public interface FieldDecompositionSolver<T extends FieldElement {

    /** Solve the linear equation A × X = B for matrices A.
     * <p>The A matrix is implicit, it is provided by the underlying
     * decomposition algorithm.</p>
     * @param b right-hand side of the equation A × X = B
     * @return a vector X that minimizes the two norm of A × X - B
     * @throws org.apache.commons.math3.exception.DimensionMismatchException
     * if the matrices dimensions do not match.
     * @throws SingularMatrixException
     * if the decomposed matrix is singular.
     */
    FieldVector<T> solve(final FieldVector b);

    /** Solve the linear equation A × X = B for matrices A.
     * <p>The A matrix is implicit, it is provided by the underlying
     * decomposition algorithm.</p>
     * @param b right-hand side of the equation A × X = B
     * @return a matrix X that minimizes the two norm of A × X - B
     * @throws org.apache.commons.math3.exception.DimensionMismatchException
     * if the matrices dimensions do not match.
     * @throws SingularMatrixException
     * if the decomposed matrix is singular.
     */
    FieldMatrix<T> solve(final FieldMatrix b);

    /**
     * Check if the decomposed matrix is non-singular.
     * @return true if the decomposed matrix is non-singular
     */
    boolean isNonSingular();

    /** Get the inverse (or pseudo-inverse) of the decomposed matrix.
     * @return inverse matrix
     * @throws SingularMatrixException
     * if the decomposed matrix is singular.
     */
    FieldMatrix<T> getInverse();
}

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