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

cern.colt.matrix.DoubleMatrix2D.assign()
Sets all cells to the state specified by values. values is required to have the form values[row][column] and have exactly the same number of rows and columns as the receiver.
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 cells. @return this (for convenience only). @throws IllegalArgumentException if values.length != rows() || for any 0 <= row < rows(): values[row].length != columns().

public static void doubleTest3() {
int rows = 4;
int columns = 5; // make a 4*5 matrix
DoubleMatrix2D master = new DenseDoubleMatrix2D(rows,columns);
System.out.println(master);
master.assign(1); // set all cells to 1
System.out.println("\n"+master);
master.viewPart(2,0,2,3).assign(2); // set [2,1] .. [3,3] to 2
System.out.println("\n"+master);


DoubleMatrix2D flip1 = master.viewColumnFlip();

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  @Test
  public final void testExternalSolver_random()
  {
    final DoubleMatrix2D matrix = DoubleFactory2D.sparse.make(size,size);
    matrix.assign(randomGenerator);
    final DoubleMatrix1D b = DoubleFactory1D.dense.make(size);
    b.assign(randomGenerator);
    final LSolver solver = new LSolver(matrix,DoubleFactory1D.dense.make(matrix.rows(), 0));


    boolean singular = false;

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  @Test
  public final void testExternalSolver_random()
  {
    final DoubleMatrix2D matrix = DoubleFactory2D.sparse.make(size,size);
    matrix.assign(randomGenerator);
    final DoubleMatrix1D b = DoubleFactory1D.dense.make(size);
    b.assign(randomGenerator);
    final LSolver solver = new LSolver(matrix,DoubleFactory1D.dense.make(matrix.rows(), 0));


    boolean singular = false;

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  @Test
  public final void testExternalSolver_random()
  {
    final DoubleMatrix2D matrix = DoubleFactory2D.sparse.make(size,size);
    matrix.assign(randomGenerator);
    final DoubleMatrix1D b = DoubleFactory1D.dense.make(size);
    b.assign(randomGenerator);
    final LSolver solver = new LSolver(matrix,DoubleFactory1D.dense.make(matrix.rows(), 0));


    boolean singular = false;

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  @Test
  public final void testExternalSolver_random()
  {
    final DoubleMatrix2D matrix = DoubleFactory2D.sparse.make(size,size);
    matrix.assign(randomGenerator);
    final DoubleMatrix1D b = DoubleFactory1D.dense.make(size);
    b.assign(randomGenerator);
    final LSolver solver = new LSolver(matrix,DoubleFactory1D.dense.make(matrix.rows(), 0));


    boolean singular = false;

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  @Test
  public final void testExternalSolver_random()
  {
    final DoubleMatrix2D matrix = DoubleFactory2D.sparse.make(size,size);
    matrix.assign(randomGenerator);
    final DoubleMatrix1D b = DoubleFactory1D.dense.make(size);
    b.assign(randomGenerator);
    final LSolver solver = new LSolver(matrix,DoubleFactory1D.dense.make(matrix.rows(), 0));


    boolean singular = false;

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      Functions F = Functions.functions;    // alias F
      // B <-- B/2^s
      double v = 1.0 / Math.pow(2.0, s);
      if (v <= 0)
          throw new IllegalArgumentException ("   v <= 0");
      B.assign (F.mult(v));


      DoubleFactory2D fac = DoubleFactory2D.dense;
      final DoubleMatrix2D B0 = fac.identity(n);    // B^0 = I
      final DoubleMatrix2D B2 = alge.mult(B, B);    // B^2
      final DoubleMatrix2D B4 = alge.mult(B2, B2);  // B^4

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      final DoubleMatrix2D B2 = alge.mult(B, B);    // B^2
      final DoubleMatrix2D B4 = alge.mult(B2, B2);  // B^4


      DoubleMatrix2D T = B2.copy();          // T = work matrix
      DoubleMatrix2D W = B4.copy();          // W = work matrix
      W.assign (F.mult(cPade[9]));           // W <-- W*cPade[9]
      W.assign (T, F.plusMult(cPade[7]));    // W <-- W + T*cPade[7]
      DoubleMatrix2D U = alge.mult(B4, W);   // U <-- B4*W


      // T = B2.copy();
      W = B4.copy();

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      final DoubleMatrix2D B4 = alge.mult(B2, B2);  // B^4


      DoubleMatrix2D T = B2.copy();          // T = work matrix
      DoubleMatrix2D W = B4.copy();          // W = work matrix
      W.assign (F.mult(cPade[9]));           // W <-- W*cPade[9]
      W.assign (T, F.plusMult(cPade[7]));    // W <-- W + T*cPade[7]
      DoubleMatrix2D U = alge.mult(B4, W);   // U <-- B4*W


      // T = B2.copy();
      W = B4.copy();
      W.assign (F.mult(cPade[5]));           // W <-- W*cPade[5]

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      // T = B2.copy();
      W = B4.copy();
      W.assign (F.mult(cPade[5]));           // W <-- W*cPade[5]
      W.assign (T, F.plusMult(cPade[3]));    // W <-- W + T*cPade[3]
      W.assign (B0, F.plusMult(cPade[1]));   // W <-- W + B0*cPade[1]
      U.assign (W, F.plus);                  // U <-- U + W
      U = alge.mult(B, U);                   // U <-- B*U


      // T = B2.copy();
      W = B4.copy();
      W.assign (F.mult(cPade[8]));           // W <-- W*cPade[8]

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