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1   /*
2    * Licensed to the Apache Software Foundation (ASF) under one or more
3    * contributor license agreements.  See the NOTICE file distributed with
4    * this work for additional information regarding copyright ownership.
5    * The ASF licenses this file to You under the Apache License, Version 2.0
6    * (the "License"); you may not use this file except in compliance with
7    * the License.  You may obtain a copy of the License at
8    *
9    *      http://www.apache.org/licenses/LICENSE-2.0
10   *
11   * Unless required by applicable law or agreed to in writing, software
12   * distributed under the License is distributed on an "AS IS" BASIS,
13   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14   * See the License for the specific language governing permissions and
15   * limitations under the License.
16   */
17  
18  package org.apache.commons.math4.legacy.field.linalg;
19  
20  /**
21   * Interface handling decomposition algorithms that can solve {@code A X = B}.
22   *
23   * <p>Decomposition algorithms decompose an A matrix has a product of several specific
24   * matrices from which they can solve the above system of equations in a least-squares
25   * sense: Find X such that {@code ||A X - B||} is minimal.</p>
26   *
27   * <p>Some solvers like {@link FieldLUDecomposition} can only find the solution for
28   * square matrices and when the solution is an exact linear solution, i.e. when
29   * {@code ||A X - B||} is exactly 0.
30   * Other solvers can also find solutions with non-square matrix {@code A} and with
31   * non-zero minimal norm.
32   * If an exact linear solution exists it is also the minimal norm solution.</p>
33   *
34   * @param <T> Type of the field elements.
35   *
36   * @since 4.0
37   */
38  public interface FieldDecompositionSolver<T> {
39      /**
40       * Solves the linear equation {@code A X = B}.
41       *
42       * <p>Matrix {@code A} is implicit: It is provided by the underlying
43       * decomposition algorithm.</p>
44       *
45       * @param b Right-hand side of the equation.
46       * @return the matrix {@code X} that minimizes {@code ||A X - B||}.
47       * @throws IllegalArgumentException if the dimensions do not match.
48       */
49      FieldDenseMatrix<T> solve(FieldDenseMatrix<T> b);
50  
51      /**
52       * Computes the inverse of a decomposed (square) matrix.
53       *
54       * @return the inverse matrix.
55       */
56      FieldDenseMatrix<T> getInverse();
57  }