CovarianceIndexer.java
/* Copyright 2002-2024 CS GROUP
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* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* CS 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,
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* See the License for the specific language governing permissions and
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*/
package org.orekit.files.ccsds.ndm.odm.ocm;
/** Container for covariance matrix elements indices.
* @author Luc Maisonobe
* @since 11.0
*/
class CovarianceIndexer {
/** Matrix dimension. */
private final int dimension;
/** Row index. */
private int row;
/** Column index. */
private int column;
/** Flag for cross-correlation trems. */
private boolean crossCorrelation;
/** Build an indexer pointing at first row first column,.
* @param dimension matrix dimension
*/
CovarianceIndexer(final int dimension) {
this.dimension = dimension;
this.row = 0;
this.column = 0;
this.crossCorrelation = false;
}
/** Get matrix dimension.
* @return matrix dimension
*/
public int getDimension() {
return dimension;
}
/** Get row index.
* @return row index
*/
public int getRow() {
return row;
}
/** Set row index.
* @param row row index
*/
public void setRow(final int row) {
this.row = row;
}
/** Get column index.
* @return column index
*/
public int getColumn() {
return column;
}
/** Set column index.
* @param column column index
*/
public void setColumn(final int column) {
this.column = column;
}
/** Set cross-correlation flag.
* @param crossCorrelation if true, element is a cross-correlation term
*/
public void setCrossCorrelation(final boolean crossCorrelation) {
this.crossCorrelation = crossCorrelation;
}
/** Check if element is a cross-correlation term.
* @return true if element is a cross-correlation term
*/
public boolean isCrossCorrelation() {
return crossCorrelation;
}
}