Examples of cern.colt.matrix.DoubleFactory2D.make()

cern.colt.matrix.DoubleFactory2D.make()
Constructs a matrix with the given cell values. values is required to have the form values[row][column] and have exactly the same number of columns in every row.
The values are copied. So subsequent changes in values are not reflected in the matrix, and vice-versa. @param values The values to be filled into the new matrix. @throws IllegalArgumentException if for any 1 <= row < values.length: values[row].length != values[row-1].length.

  
double value = 2;
double omega = 1.25;
final double alpha = omega * 0.25;
final double beta = 1-omega;
A = factory.make(size,size,value);


cern.colt.function.Double9Function function = new cern.colt.function.Double9Function() {
  public final double apply(double a00, double a01, double a02, double a10, double a11, double a12, double a20, double a21, double a22) {
    return alpha*a11 + beta*(a01+a10+a12+a21);
  }

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//A.zSum4Neighbors(A,alpha,beta,runs);
timer.stop().display();
//System.out.println("A="+A);
A=null;


double[][] B =  factory.make(size,size,value).toArray();
timer.reset().start();


System.out.println("benchmarking stencil scimark...");
for (int i=0; i<runs; i++) {
//  jnt.scimark2.SOR.execute(omega, B, runs);

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  factory = Factory2D.dense;
else 
  factory = Factory2D.sparse;
  
double value = 0.5;
A = factory.make(size,size,value);
Property.generateNonSingular(A);
cern.colt.Timer timer = new cern.colt.Timer().start();


System.out.println(A);
System.out.println(Algebra.ZERO.inverse(A));

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  factory = Factory2D.dense;
else 
  factory = Factory2D.sparse;
  
double value = 0.5;
A = factory.make(size,size,value);
Property.generateNonSingular(A);
cern.colt.Timer timer = new cern.colt.Timer().start();


DoubleMatrix2DComparator fun = new DoubleMatrix2DComparator() {
  public int compare(DoubleMatrix2D a, DoubleMatrix2D b) {

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    { 1, 2, 3, 4, 5, 6},
    { 2, 3, 4, 5, 6, 7}
  };
  DoubleFactory2D f = DoubleFactory2D.dense;
  DoubleMatrix1D vector = new DenseDoubleMatrix1D(data);
  DoubleMatrix2D matrix = f.make(arrMatrix);
  DoubleMatrix1D res = vector.like(matrix.rows());
  
  matrix.zMult(vector,res);


  System.out.println(res);

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  { 2, 4, 6 },
  { 3, 6, 9 },
  { 4, -8, -10 }
};
DoubleFactory2D factory = DoubleFactory2D.dense;
DoubleMatrix2D A = factory.make(values);
System.out.println("\n\nmatrix="+A);
System.out.println("\ncovar1="+covariance(A));
//System.out.println(correlation(covariance(A)));
//System.out.println(distance(A,EUCLID));

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  {-1.1341542,  0.20388430}
};


System.out.println("\n\ninitializing...");
DoubleFactory2D factory = DoubleFactory2D.dense;
DoubleMatrix2D A = factory.make(values).viewDice();


System.out.println("\nA="+A.viewDice());
System.out.println("\ndist="+distance(A,norm).viewDice());
}
/**

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  {-1.1341542,  0.20388430}
};


System.out.println("\n\ninitializing...");
DoubleFactory2D factory = DoubleFactory2D.dense;
DoubleMatrix2D A = factory.make(values).viewDice();


System.out.println("\nA="+A.viewDice());
System.out.println("\ndist="+distance(A,norm).viewDice());
}
/**

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       // For COLT
       DoubleMatrix2D xmatrix,ymatrix,zmatrix;


       DoubleFactory2D myfactory;
       myfactory = DoubleFactory2D.dense;
       xmatrix = myfactory.make(8,2);
       ymatrix = myfactory.make(8,1);


       xmatrix.set(0,0,1);
       xmatrix.set(1,0,1);
       xmatrix.set(2,0,1);

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       DoubleMatrix2D xmatrix,ymatrix,zmatrix;


       DoubleFactory2D myfactory;
       myfactory = DoubleFactory2D.dense;
       xmatrix = myfactory.make(8,2);
       ymatrix = myfactory.make(8,1);


       xmatrix.set(0,0,1);
       xmatrix.set(1,0,1);
       xmatrix.set(2,0,1);
       xmatrix.set(3,0,1);

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