List of decompose() Examples

Examples of decompose()

cern.colt.matrix.linalg.LUDecompositionQuick.decompose()
Decomposes matrix A into L and U (in-place). Upon return A is overridden with the result LU, such that L*U = A. Uses a "left-looking", dot-product, Crout/Doolittle algorithm. @param A any matrix.
com.facebook.presto.jdbc.internal.netty.buffer.CompositeChannelBuffer.decompose()
Same with {@link #slice(int,int)} except that this method returns a list.
com.geophile.z.Space.decompose()
io.netty.buffer.CompositeByteBuf.decompose()
Same with {@link #slice(int,int)} except that this method returns a list.
mikera.matrixx.decompose.impl.eigen.SymmetricQRAlgorithmDecomposition.decompose()
Decomposes the matrix using the QR algorithm. Care was taken to minimize unnecessary memory copying and cache skipping. @param orig The matrix which is being decomposed. Not modified. @return true if it decomposed the matrix or false if an error was detected. This will not catch all errors.
mikera.matrixx.decompose.impl.hessenberg.TridiagonalDecompositionHouseholder.decompose()
Decomposes the provided symmetric matrix. @param A Symmetric matrix that is going to be decomposed. Not modified.
mikera.matrixx.decompose.impl.qr.HouseholderQR.decompose()

In order to decompose the matrix 'A' it must have full rank. 'A' is a 'm' by 'n' matrix. It requires about 2n*m²-2m²/3 flops.

The matrix provided here can be of different dimension than the one specified in the constructor. It just has to be smaller than or equal to it.
org.apache.cassandra.db.marshal.AbstractType.decompose()
org.apache.cassandra.db.marshal.CompositeType.decompose()
org.apache.cassandra.db.marshal.ListType.decompose()
Layout is: {@code ... }where: n is the number of elements s_i is the number of bytes composing the ith element b_i is the s_i bytes composing the ith element
org.apache.cassandra.db.marshal.MapType.decompose()
Layout is: {@code ... }where: n is the number of elements sk_i is the number of bytes composing the ith key k_i k_i is the sk_i bytes composing the ith key sv_i is the number of bytes composing the ith value v_i v_i is the sv_i bytes composing the ith value
org.apache.cassandra.db.marshal.SetType.decompose()
Layout is: {@code ... }where: n is the number of elements s_i is the number of bytes composing the ith element b_i is the s_i bytes composing the ith element
org.apache.cassandra.db.marshal.TimeUUIDType.decompose()
org.apache.cassandra.db.marshal.UTF8Type.decompose()
org.ejml.alg.block.decomposition.qr.BlockMatrix64HouseholderQR.decompose()
@inheritDoc
org.ejml.alg.dense.decomposition.bidiagonal.BidiagonalDecompositionRow.decompose()
Computes the decomposition of the provided matrix. If no errors are detected then true is returned, false otherwise. @param A The matrix that is being decomposed. Not modified. @return If it detects any errors or not.
org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionInner.decompose()
org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholder.decompose()
Decomposes the provided symmetric matrix. @param A Symmetric matrix that is going to be decomposed. Not modified.
org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig.decompose()
Decomposes the provided symmetric matrix. @param A Symmetric matrix that is going to be decomposed. Not modified.
org.ejml.alg.dense.decomposition.lu.LUDecompositionAlt.decompose()
This is a modified version of what was found in the JAMA package. The order that it performs its permutations in is the primary difference from NR @param a The matrix that is to be decomposed. Not modified. @return true If the matrix can be decomposed and false if it can not.
org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran.decompose()

To decompose the matrix 'A' it must have full rank. 'A' is a 'm' by 'n' matrix. It requires about 2n*m²-2m²/3 flops.

The matrix provided here can be of different dimension than the one specified in the constructor. It just has to be smaller than or equal to it.
org.ejml.factory.EigenDecomposition.decompose()
org.ejml.factory.LUDecomposition.decompose()
org.ejml.factory.QRDecomposition.decompose()
org.ejml.factory.SingularValueDecomposition.decompose()
org.jboss.netty.buffer.CompositeChannelBuffer.decompose()
Same with {@link #slice(int,int)} except that this method returns a list.
org.libreplan.business.workingday.EffortDuration.decompose()
ru.ifmo.diplom.kirilchuk.jawelet.core.dwt.transforms.DWTransform1D.decompose()
Performs dwt decomposition to maximal level. It means that data length would be extended(if need) to closest 2^N and decomposition result will have approximation vector with size=1 and list with N detail vectors. @param data input vector to decompose. @return result of decomposition. @deprecated
ru.ifmo.diplom.kirilchuk.jawelet.core.dwt.transforms.haar.impl.HaarWaveletTransform.decompose()
ru.ifmo.diplom.kirilchuk.jawelet.core.dwt.transforms.legall.impl.LeGallWaveletTransform.decompose()

Examples of org.jboss.netty.buffer.CompositeChannelBuffer.decompose()

            // Make sure the resulting cumulation buffer has no more than the configured components.
            CompositeChannelBuffer composite = (CompositeChannelBuffer) cumulation;
            if (composite.numComponents() >= maxCumulationBufferComponents) {
                currentMessage.setContent(ChannelBuffers.wrappedBuffer(composite.copy(), input));
            } else {
                List<ChannelBuffer> decomposed = composite.decompose(0, composite.readableBytes());
                ChannelBuffer[] buffers = decomposed.toArray(new ChannelBuffer[decomposed.size() + 1]);
                buffers[buffers.length - 1] = input;


                currentMessage.setContent(ChannelBuffers.wrappedBuffer(buffers));
            }

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Examples of org.libreplan.business.workingday.EffortDuration.decompose()

    }


    @Test
    public void anEffortDurationCanBeDecomposedIntoElements() {
        EffortDuration duration = hours(1).and(90, Granularity.MINUTES);
        EnumMap<Granularity, Integer> values = duration.decompose();
        assertThat(values.get(Granularity.HOURS), equalTo(2));
        assertThat(values.get(Granularity.MINUTES), equalTo(30));
        assertThat(values.get(Granularity.SECONDS), equalTo(0));
    }

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Examples of org.libreplan.business.workingday.EffortDuration.decompose()

    }


    @Test
    public void anZeroDurationHasZeroElements() {
        EffortDuration duration = EffortDuration.zero();
        EnumMap<Granularity, Integer> values = duration.decompose();
        assertThat(values.get(Granularity.HOURS), equalTo(0));
        assertThat(values.get(Granularity.MINUTES), equalTo(0));
        assertThat(values.get(Granularity.SECONDS), equalTo(0));
    }

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Examples of ru.ifmo.diplom.kirilchuk.jawelet.core.dwt.transforms.DWTransform1D.decompose()


        DWTransform1D instance = new HaarWaveletTransform();
        double[] approximationExpect = {2.121320343559, 4.949747468305, 7.778174593052, 4.949747468305};
        double[] detailExpect = {-0.707106781186, -0.707106781186, -0.707106781186, 4.949747468306};


        DecompositionResult result = instance.decompose(data, 1);
        assertArrayEquals(approximationExpect, result.getApproximation(), DOBLE_COMPARISON_DELTA);
        assertArrayEquals(detailExpect, result.getDetailsList().get(0), DOBLE_COMPARISON_DELTA);
    }


    @Test

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Examples of ru.ifmo.diplom.kirilchuk.jawelet.core.dwt.transforms.haar.impl.HaarWaveletTransform.decompose()


        DWTransform1D instance = new HaarWaveletTransform();
        double[] approximationExpect = {2.121320343559, 4.949747468305, 7.778174593052, 4.949747468305};
        double[] detailExpect = {-0.707106781186, -0.707106781186, -0.707106781186, 4.949747468306};


        DecompositionResult result = instance.decompose(data, 1);
        assertArrayEquals(approximationExpect, result.getApproximation(), DOBLE_COMPARISON_DELTA);
        assertArrayEquals(detailExpect, result.getDetailsList().get(0), DOBLE_COMPARISON_DELTA);
    }


    @Test

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Examples of ru.ifmo.diplom.kirilchuk.jawelet.core.dwt.transforms.legall.impl.LeGallWaveletTransform.decompose()

    @Test
    public void testReconstructionFrom1LevelWithLeGall() {
        double[] data = {1,2,3,4};


        DWTransform1D instance = new LeGallWaveletTransform();
        DecompositionResult result = instance.decompose(data, 1);


        double[] reconstructed = instance.reconstruct(result);
        assertArrayEquals(data, reconstructed, DOBLE_COMPARISON_DELTA);
    }

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