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A fast and easy to use dense and sparse matrix linear algebra library written in Java.

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/*
 * Copyright (c) 2020, 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.dense.row.linsol;

import javax.annotation.Generated;
import org.ejml.data.CMatrixRMaj;
import org.ejml.interfaces.linsol.LinearSolverDense;

/**
 * 

* An abstract class that provides some common functionality and a default implementation * of invert that uses the solve function of the child class. *

* *

* The extending class must explicity call {@link #_setA(CMatrixRMaj)} * inside of its {@link #setA} function. *

* * @author Peter Abeles */ @SuppressWarnings("NullAway.Init") @Generated("org.ejml.dense.row.linsol.LinearSolverAbstract_ZDRM") public abstract class LinearSolverAbstract_CDRM implements LinearSolverDense { protected CMatrixRMaj A; protected int numRows; protected int numCols; protected int stride; public CMatrixRMaj getA() { return A; } protected void _setA( CMatrixRMaj A ) { this.A = A; this.numRows = A.numRows; this.numCols = A.numCols; this.stride = numCols*2; } @Override public void invert( CMatrixRMaj A_inv ) { InvertUsingSolve_CDRM.invert(this, A, A_inv); } }




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