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

cern.colt.matrix.DoubleMatrix2D.viewDice()
Constructs and returns a new dice (transposition) view; Swaps axes; example: 3 x 4 matrix --> 4 x 3 matrix. The view has both dimensions exchanged; what used to be columns become rows, what used to be rows become columns. In other words: view.get(row,column)==this.get(column,row). This is a zero-copy transposition, taking O(1), i.e. constant time. The returned view is backed by this matrix, so changes in the returned view are reflected in this matrix, and vice-versa. Use idioms like result = viewDice(A).copy() to generate an independent transposed matrix.
Example:

2 x 3 matrix:
1, 2, 3
4, 5, 6 transpose ==> 3 x 2 matrix:
1, 4
2, 5
3, 6 transpose ==> 2 x 3 matrix:
1, 2, 3
4, 5, 6

@return a new dice view.

  { 0       , -0.112952,-0.04932 ,-0.700157,0},
  { 0       , 0        ,0        ,0        ,0}
};
 
DoubleMatrix2D H = new DenseDoubleMatrix2D( vals ); // see values below...
System.out.println("\nHplus="+H.viewDice().zMult(H,null));


DoubleMatrix2D Hplus = Algebra.DEFAULT.inverse(H.viewDice().zMult( H,null )).zMult(H.viewDice(),null);
Hplus.assign(cern.jet.math.Functions.round(1.0E-10));
System.out.println("\nHplus="+Hplus);

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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());
}
/**
 * Constructs and returns the distance matrix of the given matrix.
 * The distance matrix is a square, symmetric matrix consisting of nothing but distance coefficients.

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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());
}
/**
 * Constructs and returns the distance matrix of the given matrix.
 * The distance matrix is a square, symmetric matrix consisting of nothing but distance coefficients.

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  { 0       , -0.112952,-0.04932 ,-0.700157,0},
  { 0       , 0        ,0        ,0        ,0}
};
 
DoubleMatrix2D H = new DenseDoubleMatrix2D( vals ); // see values below...
System.out.println("\nHplus="+H.viewDice().zMult(H,null));


DoubleMatrix2D Hplus = Algebra.DEFAULT.inverse(H.viewDice().zMult( H,null )).zMult(H.viewDice(),null);
Hplus.assign(cern.jet.math.Functions.round(1.0E-10));
System.out.println("\nHplus="+Hplus);

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