List of toDoubleMatrix1D() Examples

Examples of toDoubleMatrix1D()

statechum.analysis.learning.rpnicore.LSolver.toDoubleMatrix1D()
Converts the "b" vector to Colt format, for a fall back on Colt when external solver is not found as well as for testing.

Examples of statechum.analysis.learning.rpnicore.LSolver.toDoubleMatrix1D()

    GDLearnerGraph ndGraph = new GDLearnerGraph(gr,LearnerGraphND.ignoreRejectStates, false);
    LSolver solver = ndGraph.buildMatrix(threadNumber);
    DoubleMatrix2D Ax=solver.toDoubleMatrix2D();
    Assert.assertEquals(getExpectedMatrix2DSlowly(gr),Ax);
    if (expectedAx != null) Assert.assertEquals(expectedAx, Ax);
    DoubleMatrix1D b=solver.toDoubleMatrix1D();
    if (expectedB != null) Assert.assertEquals(expectedB, b);Assert.assertEquals(getExpectedMatrix1DSlowly(gr),b);
    solver.solveExternally(1);// check if we have a solution, just in case it fails.


    // Now check consistency.
    gr.config.setAttenuationK_testOnly(1);DoubleMatrix2D Ax1 = ndGraph.buildMatrix(threadNumber).toDoubleMatrix2D();

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Examples of statechum.analysis.learning.rpnicore.LSolver.toDoubleMatrix1D()

    GDLearnerGraph ndGraph = new GDLearnerGraph(gr,LearnerGraphND.ignoreRejectStates, false);
    LSolver solver = ndGraph.buildMatrix(threadNumber);
    DoubleMatrix2D Ax=solver.toDoubleMatrix2D();
    Assert.assertEquals(getExpectedMatrix2DSlowly(gr),Ax);
    if (expectedAx != null) Assert.assertEquals(expectedAx, Ax);
    DoubleMatrix1D b=solver.toDoubleMatrix1D();
    if (expectedB != null) Assert.assertEquals(expectedB, b);Assert.assertEquals(getExpectedMatrix1DSlowly(gr),b);
    solver.solveExternally(1);// check if we have a solution, just in case it fails.


    // Now check consistency.
    gr.config.setAttenuationK_testOnly(1);DoubleMatrix2D Ax1 = ndGraph.buildMatrix(threadNumber).toDoubleMatrix2D();

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Examples of statechum.analysis.learning.rpnicore.LSolver.toDoubleMatrix1D()

    GDLearnerGraph ndGraph = new GDLearnerGraph(gr,LearnerGraphND.ignoreRejectStates, false);
    LSolver solver = ndGraph.buildMatrix(ThreadNumber);
    DoubleMatrix2D Ax=solver.toDoubleMatrix2D();
    Assert.assertEquals(getExpectedMatrix2DSlowly(gr),Ax);
    if (expectedAx != null) Assert.assertEquals(expectedAx, Ax);
    DoubleMatrix1D b=solver.toDoubleMatrix1D();
    if (expectedB != null) Assert.assertEquals(expectedB, b);Assert.assertEquals(getExpectedMatrix1DSlowly(gr),b);
    solver.solveExternally(1);// check if we have a solution, just in case it fails.


    // Now check consistency.
    gr.config.setAttenuationK_testOnly(1);DoubleMatrix2D Ax1 = ndGraph.buildMatrix(ThreadNumber).toDoubleMatrix2D();

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Examples of statechum.analysis.learning.rpnicore.LSolver.toDoubleMatrix1D()


    if (!singular)
    {
      for(int i=0;i<matrix.rows();++i)
        Assert.assertEquals(solver.j_x[i], vector.getQuick(i),Configuration.fpAccuracy);
      TestSolver.verifyAxb(matrix,solver.toDoubleMatrix1D(),vector);
    }
    
    try
    {
      for(int i=0;i<matrix.rows();++i) solver.j_x[i]=0;

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Examples of statechum.analysis.learning.rpnicore.LSolver.toDoubleMatrix1D()

    GDLearnerGraph ndGraph = new GDLearnerGraph(gr,LearnerGraphND.ignoreRejectStates, false);
    LSolver solver = ndGraph.buildMatrix(threadNumber);
    DoubleMatrix2D Ax=solver.toDoubleMatrix2D();
    Assert.assertEquals(getExpectedMatrix2DSlowly(gr),Ax);
    if (expectedAx != null) Assert.assertEquals(expectedAx, Ax);
    DoubleMatrix1D b=solver.toDoubleMatrix1D();
    if (expectedB != null) Assert.assertEquals(expectedB, b);Assert.assertEquals(getExpectedMatrix1DSlowly(gr),b);
    solver.solveExternally(1);// check if we have a solution, just in case it fails.


    // Now check consistency.
    gr.config.setAttenuationK_testOnly(1);DoubleMatrix2D Ax1 = ndGraph.buildMatrix(threadNumber).toDoubleMatrix2D();

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Examples of statechum.analysis.learning.rpnicore.LSolver.toDoubleMatrix1D()


    if (!singular)
    {
      for(int i=0;i<matrix.rows();++i)
        Assert.assertEquals(solver.j_x[i], vector.getQuick(i),Configuration.fpAccuracy);
      TestSolver.verifyAxb(matrix,solver.toDoubleMatrix1D(),vector);
    }
    
    try
    {
      for(int i=0;i<matrix.rows();++i) solver.j_x[i]=0;

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Examples of statechum.analysis.learning.rpnicore.LSolver.toDoubleMatrix1D()

    GDLearnerGraph ndGraph = new GDLearnerGraph(gr,LearnerGraphND.ignoreRejectStates, false);
    LSolver solver = ndGraph.buildMatrix(threadNumber);
    DoubleMatrix2D Ax=solver.toDoubleMatrix2D();
    Assert.assertEquals(getExpectedMatrix2DSlowly(gr),Ax);
    if (expectedAx != null) Assert.assertEquals(expectedAx, Ax);
    DoubleMatrix1D b=solver.toDoubleMatrix1D();
    if (expectedB != null) Assert.assertEquals(expectedB, b);Assert.assertEquals(getExpectedMatrix1DSlowly(gr),b);
    solver.solveExternally(1);// check if we have a solution, just in case it fails.


    // Now check consistency.
    gr.config.setAttenuationK_testOnly(1);DoubleMatrix2D Ax1 = ndGraph.buildMatrix(threadNumber).toDoubleMatrix2D();

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