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

cern.colt.matrix.DoubleMatrix2D.copy()
Constructs and returns a deep copy of the receiver.
Note that the returned matrix is an independent deep copy. The returned matrix is not backed by this matrix, so changes in the returned matrix are not reflected in this matrix, and vice-versa. @return a deep copy of the receiver.

      W.assign (F.mult(cPade[4]));           // W <-- W*cPade[4]
      W.assign (T, F.plusMult(cPade[2]));    // W <-- W + T*cPade[2]
      W.assign (B0, F.plusMult(cPade[0]));   // W <-- W + B0*cPade[0]
      V.assign (W, F.plus);                  // V <-- V + W


      W = V.copy();
      W.assign(U, F.plus);                   // W = V + U, Padé numerator
      T = V.copy();
      T.assign(U, F.minus);                  // T = V - U, Padé denominator


      // Compute Padé approximant for exponential = W / T

View Full Code Here

      W.assign (B0, F.plusMult(cPade[0]));   // W <-- W + B0*cPade[0]
      V.assign (W, F.plus);                  // V <-- V + W


      W = V.copy();
      W.assign(U, F.plus);                   // W = V + U, Padé numerator
      T = V.copy();
      T.assign(U, F.minus);                  // T = V - U, Padé denominator


      // Compute Padé approximant for exponential = W / T
      LUDecomposition lu = new LUDecomposition(T);
      B = lu.solve(W);

View Full Code Here

         x = W.getQuick(i, i);
         W.setQuick(i, i, x + cPade[0]);
      }
      DMatrix.addMultBand(1.0, V, 8, 1.0, W, 4); // V <-- V + W


      W = V.copy();
      DMatrix.addMultBand(1.0, W, 9, 1.0, U, 9); // W = V + U, Padé numerator
      T = V.copy();
      DMatrix.addMultBand(1.0, T, 9, -1.0, U, 9); // T = V - U, Padé denominator


      // Compute Padé approximant B = W/T for exponential

View Full Code Here

      }
      DMatrix.addMultBand(1.0, V, 8, 1.0, W, 4); // V <-- V + W


      W = V.copy();
      DMatrix.addMultBand(1.0, W, 9, 1.0, U, 9); // W = V + U, Padé numerator
      T = V.copy();
      DMatrix.addMultBand(1.0, T, 9, -1.0, U, 9); // T = V - U, Padé denominator


      // Compute Padé approximant B = W/T for exponential
      DMatrix.solveTriangular(T, W, B);

View Full Code Here

TOP

All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.