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A comprehensive collection of matrix data structures, linear solvers, least squares methods,
eigenvalue, and singular value decompositions.
Forked from: https://github.com/fommil/matrix-toolkits-java
and added support for eigenvalue computation of general matrices
The newest version!
/**
* May 21, 2007
* @author Samuel Halliday, ThinkTank Maths Limited
* Copyright ThinkTank Maths Limited 2007
*/
package no.uib.cipr.matrix.sparse;
import no.uib.cipr.matrix.Vector;
/**
* @author Samuel Halliday, ThinkTank Maths Limited
*/
public interface ISparseVector extends Vector {
/**
* Returns the indices
*/
public int[] getIndex();
/**
* Number of entries used in the sparse structure
*/
public int getUsed();
/**
* Returns the internal value array. This array may contain extra elements
* beyond the number that are used. If it is greater than the number used,
* the remaining values will be 0. Since this vector can resize its internal
* data, if it is modified, this array may no longer represent the internal
* state.
*
* @return The internal array of values.
*/
public double[] getData();
/**
* Compacts the vector
*/
public void compact();
}