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Statistical sampling library for use in virtdata libraries, based
on apache commons math 4
/*
* 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.math4.linear;
import org.apache.commons.math4.exception.MathIllegalArgumentException;
import org.apache.commons.math4.exception.util.LocalizedFormats;
/**
* Exception to be thrown when a symmetric matrix is expected.
*
* @since 3.0
*/
public class NonSymmetricMatrixException extends MathIllegalArgumentException {
/** Serializable version Id. */
private static final long serialVersionUID = -7518495577824189882L;
/** Row. */
private final int row;
/** Column. */
private final int column;
/** Threshold. */
private final double threshold;
/**
* Construct an exception.
*
* @param row Row index.
* @param column Column index.
* @param threshold Relative symmetry threshold.
*/
public NonSymmetricMatrixException(int row,
int column,
double threshold) {
super(LocalizedFormats.NON_SYMMETRIC_MATRIX, row, column, threshold);
this.row = row;
this.column = column;
this.threshold = threshold;
}
/**
* @return the row index of the entry.
*/
public int getRow() {
return row;
}
/**
* @return the column index of the entry.
*/
public int getColumn() {
return column;
}
/**
* @return the relative symmetry threshold.
*/
public double getThreshold() {
return threshold;
}
}