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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) 2022, 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.data;

import javax.annotation.Generated;
import lombok.Data;

/**
 * An eigenpair is a set composed of an eigenvalue and an eigenvector. In this library since only real
 * matrices are supported, all eigenpairs are real valued.
 *
 * @author Peter Abeles
 */
@Data
@Generated("org.ejml.data.DEigenpair")
public class FEigenpair {
    public float value;
    public FMatrixRMaj vector;

    public FEigenpair( float value, FMatrixRMaj vector ) {
        this.value = value;
        this.vector = vector;
    }
}