Package cern.colt.matrix

Examples of cern.colt.matrix.DoubleMatrix2D.columns()

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System.out.println("\nview1="+view1);
DoubleMatrix2D view2 = view1.viewPart(1,1,2,2);
System.out.println("\nview2="+view2);
DoubleMatrix2D view3 = view2.viewRowFlip();
System.out.println("\nview3="+view3);
view3.assign(Factory2D.ascending(view3.rows(),view3.columns()));
//Basic.ascending(view3);
System.out.println("\nview3="+view3);

//view2.assign(-1);
System.out.println("\nmaster replaced"+master);
View Full Code Here
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System.out.println("\nview1="+view1);
DoubleMatrix2D view2 = view1.viewPart(1,1,2,2);
System.out.println("\nview2="+view2);
DoubleMatrix2D view3 = view2.viewRowFlip();
System.out.println("\nview3="+view3);
view3.assign(Factory2D.ascending(view3.rows(),view3.columns()));
//Basic.ascending(view3);
System.out.println("\nview3="+view3);

//view2.assign(-1);
System.out.println("\nmaster replaced"+master);
View Full Code Here
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      int indexRow = findIndexOf(incompatiblePairs, row);
      assert indexRow >= 0;
      PairScore pairRow = getPairScore(indexRow, 0,0);
     
      boolean firstValue = true;
      for(int column = 0;column < matrix.columns();++column)
      {
        double value = matrix.getQuick(row, column);
        if (value != 0) // this is not a computed value, hence it is reasonable to compare this double to zero in this way.
        {
          int indexColumn = findIndexOf(incompatiblePairs, column);
View Full Code Here
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      int indexRow = findIndexOf(incompatiblePairs, row);
      assert indexRow >= 0;
      PairScore pairRow = getPairScore(indexRow, 0,0);
     
      boolean firstValue = true;
      for(int column = 0;column < matrix.columns();++column)
      {
        double value = matrix.getQuick(row, column);
        if (value != 0) // this is not a computed value, hence it is reasonable to compare this double to zero in this way.
        {
          int indexColumn = findIndexOf(incompatiblePairs, column);
View Full Code Here
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    double score_CC=1./2,score_BB=(2+score_CC*k)/4, score_AA=(1+k*score_BB)/2;
    {
      GDLearnerGraph ndGraph = new GDLearnerGraph(gr,LearnerGraphND.ignoreNone, false);
      LSolver solver = ndGraph.buildMatrix(threadNumber);
      DoubleMatrix2D Ax=solver.toDoubleMatrix2D();
      Assert.assertEquals(6,Ax.columns());
    }
    Set<PairScore> pairsSet = addAllPermutations(gr.pairscores.chooseStatePairs(PAIR_INCOMPATIBLE*2,10,threadNumber,null,filter, new NonRandomRandom()));
    Set<PairScore> exp = addAllPermutations(Arrays.asList(new PairScore[]{
        new PairScore(gr.findVertex("A"),gr.findVertex("A"),(int)(10*score_AA),1),
        new PairScore(gr.findVertex("A"),gr.findVertex("B"),10*PAIR_INCOMPATIBLE,1),
 
View Full Code Here
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    double score_CC=1./2,score_BB=(2+score_CC*k)/4, score_AA=(1+k*score_BB)/2;
    {
      GDLearnerGraph ndGraph = new GDLearnerGraph(gr,LearnerGraphND.ignoreNone, false);
      LSolver solver = ndGraph.buildMatrix(threadNumber);
      DoubleMatrix2D Ax=solver.toDoubleMatrix2D();
      Assert.assertEquals(6,Ax.columns());
    }
    Set<PairScore> pairsSet = addAllPermutations(gr.pairscores.chooseStatePairs(PAIR_INCOMPATIBLE*2,10,threadNumber,null,filter, new NonRandomRandom()));
    Set<PairScore> exp = addAllPermutations(Arrays.asList(new PairScore[]{
        new PairScore(gr.findVertex("A"),gr.findVertex("A"),(int)(10*score_AA),1),
        new PairScore(gr.findVertex("A"),gr.findVertex("B"),10*PAIR_INCOMPATIBLE,1),
 
View Full Code Here
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    double score_CC=1./2,score_BB=(2+score_CC*k)/4, score_AA=(1+k*score_BB)/2;
    {
      GDLearnerGraph ndGraph = new GDLearnerGraph(gr,LearnerGraphND.ignoreNone, false);
      LSolver solver = ndGraph.buildMatrix(ThreadNumber);
      DoubleMatrix2D Ax=solver.toDoubleMatrix2D();
      Assert.assertEquals(6,Ax.columns());
    }
    Set<PairScore> pairsSet = addAllPermutations(gr.pairscores.chooseStatePairs(PAIR_INCOMPATIBLE*2,10,ThreadNumber,null,filter, new NonRandomRandom()));
    Set<PairScore> exp = addAllPermutations(Arrays.asList(new PairScore[]{
        new PairScore(gr.findVertex("A"),gr.findVertex("A"),(int)(10*score_AA),1),
        new PairScore(gr.findVertex("A"),gr.findVertex("B"),10*PAIR_INCOMPATIBLE,1),
 
View Full Code Here
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      int indexRow = findIndexOf(incompatiblePairs, row);
      assert indexRow >= 0;
      PairScore pairRow = getPairScore(indexRow, 0,0);
     
      boolean firstValue = true;
      for(int column = 0;column < matrix.columns();++column)
      {
        double value = matrix.getQuick(row, column);
        if (value != 0) // this is not a computed value, hence it is reasonable to compare this double to zero in this way.
        {
          int indexColumn = findIndexOf(incompatiblePairs, column);
View Full Code Here
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      int indexRow = findIndexOf(incompatiblePairs, row);
      assert indexRow >= 0;
      PairScore pairRow = getPairScore(indexRow, 0,0);
     
      boolean firstValue = true;
      for(int column = 0;column < matrix.columns();++column)
      {
        double value = matrix.getQuick(row, column);
        if (value != 0) // this is not a computed value, hence it is reasonable to compare this double to zero in this way.
        {
          int indexColumn = findIndexOf(incompatiblePairs, column);
View Full Code Here
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    double score_CC=1./2,score_BB=(2+score_CC*k)/4, score_AA=(1+k*score_BB)/2;
    {
      GDLearnerGraph ndGraph = new GDLearnerGraph(gr,LearnerGraphND.ignoreNone, false);
      LSolver solver = ndGraph.buildMatrix(ThreadNumber);
      DoubleMatrix2D Ax=solver.toDoubleMatrix2D();
      Assert.assertEquals(6,Ax.columns());
    }
    Set<PairScore> pairsSet = addAllPermutations(gr.pairscores.chooseStatePairs(PAIR_INCOMPATIBLE*2,10,ThreadNumber,null,filter, new NonRandomRandom()));
    Set<PairScore> exp = addAllPermutations(Arrays.asList(new PairScore[]{
        new PairScore(gr.findVertex("A"),gr.findVertex("A"),(int)(10*score_AA),1),
        new PairScore(gr.findVertex("A"),gr.findVertex("B"),10*PAIR_INCOMPATIBLE,1),
 
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