List of factor() Examples

Examples of factor()

no.uib.cipr.matrix.BandCholesky.factor()
Creates a Cholesky decomposition of the given matrix @param A Matrix to decompose. Overwritten on return @return The current decomposition
no.uib.cipr.matrix.BandLU.factor()
Creates an LU decomposition of the given matrix @param A Matrix to decompose. If the decomposition is in-place, its number of superdiagonals must equal kl+ku @param inplace Wheter or not the decomposition should overwrite the passed matrix @return The current decomposition
no.uib.cipr.matrix.DenseCholesky.factor()
Calculates a Cholesky decomposition @param A Matrix to decompose. Overwritten on return @return The current decomposition
no.uib.cipr.matrix.DenseLU.factor()
Creates an LU decomposition of the given matrix @param A Matrix to decompose. Overwritten with the decomposition @return The current decomposition
no.uib.cipr.matrix.LQ.factor()
no.uib.cipr.matrix.PackCholesky.factor()
Calculates a Cholesky decomposition @param A Matrix to decompose. Overwritten on return @return The current decomposition
no.uib.cipr.matrix.QL.factor()
no.uib.cipr.matrix.QR.factor()
no.uib.cipr.matrix.RQ.factor()
no.uib.cipr.matrix.SVD.factor()
Computes an SVD @param A Matrix to decompose. Size must conform, and it will be overwritten on return. Pass a copy to avoid this @return The current decomposition @throws NotConvergedException
no.uib.cipr.matrix.SymmBandEVD.factor()
Computes the eigenvalue decomposition of the given matrix @param A Matrix to factorize. Overwritten on return @return The current eigenvalue decomposition @throws NotConvergedException
no.uib.cipr.matrix.SymmDenseEVD.factor()
Computes the eigenvalue decomposition of the given matrix @param A Matrix to factorize. Overwritten on return @return The current eigenvalue decomposition @throws NotConvergedException
no.uib.cipr.matrix.SymmPackEVD.factor()
Computes the eigenvalue decomposition of the given matrix @param A Matrix to factorize. Overwritten on return @return The current eigenvalue decomposition @throws NotConvergedException
no.uib.cipr.matrix.SymmTridiagEVD.factor()
Computes the eigenvalue decomposition of the given matrix @param A Matrix to factorize. Overwritten on return @return The current eigenvalue decomposition @throws NotConvergedException
org.encog.neural.neat.NEATGenomeFactory.factor()
Create a NEAT genome from a list of links and neurons. @param neurons A list of neuron genes. @param links A list of link genes. @param inputCount The input count. @param outputCount The output count. @return The newly factored NEATGenome.

Examples of no.uib.cipr.matrix.SymmPackEVD.factor()


    public void testUpperRepeatFactor() throws NotConvergedException {
        SymmPackEVD evd = new SymmPackEVD(A.numRows(), true);
        evd.factor(U.copy());
        assertEquals(U, evd.getEigenvalues(), evd.getEigenvectors());
        evd.factor(U.copy());
        assertEquals(U, evd.getEigenvalues(), evd.getEigenvectors());
    }


}

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Examples of no.uib.cipr.matrix.SymmTridiagEVD.factor()

        assertEquals(T, evd.getEigenvalues(), evd.getEigenvectors());
    }


    public void testFactor() throws NotConvergedException {
        SymmTridiagEVD evd = new SymmTridiagEVD(A.numRows());
        evd.factor(T.copy());
        assertEquals(T, evd.getEigenvalues(), evd.getEigenvectors());
    }


    public void testRepeatFactor() throws NotConvergedException {
        SymmTridiagEVD evd = new SymmTridiagEVD(A.numRows());

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Examples of no.uib.cipr.matrix.SymmTridiagEVD.factor()

        assertEquals(T, evd.getEigenvalues(), evd.getEigenvectors());
    }


    public void testRepeatFactor() throws NotConvergedException {
        SymmTridiagEVD evd = new SymmTridiagEVD(A.numRows());
        evd.factor(T.copy());
        assertEquals(T, evd.getEigenvalues(), evd.getEigenvectors());
        evd.factor(T.copy());
        assertEquals(T, evd.getEigenvalues(), evd.getEigenvectors());
    }

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Examples of no.uib.cipr.matrix.SymmTridiagEVD.factor()


    public void testRepeatFactor() throws NotConvergedException {
        SymmTridiagEVD evd = new SymmTridiagEVD(A.numRows());
        evd.factor(T.copy());
        assertEquals(T, evd.getEigenvalues(), evd.getEigenvectors());
        evd.factor(T.copy());
        assertEquals(T, evd.getEigenvalues(), evd.getEigenvectors());
    }


}

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Examples of org.encog.neural.neat.NEATGenomeFactory.factor()

    Collections.sort(selectedNeurons);


    // finally, create the genome
    final NEATGenomeFactory factory = (NEATGenomeFactory) this.owner
        .getPopulation().getGenomeFactory();
    final NEATGenome babyGenome = factory.factor(selectedNeurons,
        selectedLinks, mom.getInputCount(), mom.getOutputCount());
    babyGenome.setBirthGeneration(this.owner.getIteration());
    babyGenome.setPopulation(this.owner.getPopulation());
    babyGenome.sortGenes();

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