org.ejml.alg.dense.misc

Class NaiveDeterminant

java.lang.Object

org.ejml.alg.dense.misc.NaiveDeterminant

public class NaiveDeterminant
extends java.lang.Object

Computes the determinant using different very simple and computationally expensive algorithms.

Constructor Summary

Constructors

Constructor and Description
NaiveDeterminant()

Method Summary

Modifier and Type	Method and Description
static double	leibniz(org.ejml.data.DenseMatrix64F mat) Computes the determinant of the matrix using Leibniz's formula
static double	recursive(org.ejml.data.DenseMatrix64F mat) A simple and inefficient algorithm for computing the determinant.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

NaiveDeterminant

public NaiveDeterminant()

Method Detail

leibniz

public static double leibniz(org.ejml.data.DenseMatrix64F mat)

Computes the determinant of the matrix using Leibniz's formula

A direct implementation of Leibniz determinant equation. This is of little practical use because of its slow runtime of O(n!) where n is the width of the matrix. LU decomposition should be used instead. One advantage of Leibniz's equation is how simplistic it is.

det(A) = Sum( σ in S_n ; sgn(σ) Prod( i = 1 to n ; a_i,σ(i)) )

• sgn is the sign function of permutations. +1 or -1 for even and odd permutations
• a set of permutations. if n=3 then the possible permutations are (1,2,3) (1,3,2), (3,2,1), ... etc

Parameters:

mat - The matrix whose determinant is computed.

Returns:

The value of the determinant

recursive

public static double recursive(org.ejml.data.DenseMatrix64F mat)

A simple and inefficient algorithm for computing the determinant. This should never be used. It is at least two orders of magnitude slower than DeterminantFromMinor. This is included to provide a point of comparison for other algorithms.

Parameters:

mat - The matrix that the determinant is to be computed from

Returns:

The determinant.