Пример #1
0
  @Test
  public void removeRowFromA() {
    int remove = 2;
    int m = 5;
    int n = 3;

    DenseMatrix64F A = RandomMatrices.createRandom(m, n, rand);

    // create the modified A
    DenseMatrix64F A_e = RandomMatrices.createRandom(m - 1, n, rand);
    SubmatrixOps.setSubMatrix(A, A_e, 0, 0, 0, 0, remove, n);
    SubmatrixOps.setSubMatrix(A, A_e, remove + 1, 0, remove, 0, m - remove - 1, n);

    // Compute the solution to the modified system
    DenseMatrix64F X = RandomMatrices.createRandom(n, 2, rand);
    DenseMatrix64F Y = new DenseMatrix64F(A_e.numRows, X.numCols);
    CommonOps.mult(A_e, X, Y);

    // create the solver from the original system then modify it
    AdjustableLinearSolver adjSolver = new AdjLinearSolverQr();

    adjSolver.setA(A);
    adjSolver.removeRowFromA(remove);

    // see if it produces the epected results

    // solve the system and see if it gets the expected solution
    DenseMatrix64F X_found = RandomMatrices.createRandom(X.numRows, X.numCols, rand);
    adjSolver.solve(Y, X_found);

    // see if they produce the same results
    assertTrue(MatrixFeatures.isIdentical(X_found, X, 1e-8));
  }
Пример #2
0
  @Test
  public void addRowToA() {
    int insert = 2;
    int m = 5;
    int n = 3;

    DenseMatrix64F A = RandomMatrices.createRandom(m, n, rand);
    double row[] = new double[] {1, 2, 3};

    // create the modified A
    DenseMatrix64F A_e = RandomMatrices.createRandom(m + 1, n, rand);
    SubmatrixOps.setSubMatrix(A, A_e, 0, 0, 0, 0, insert, n);
    System.arraycopy(row, 0, A_e.data, insert * n, n);
    SubmatrixOps.setSubMatrix(A, A_e, insert, 0, insert + 1, 0, m - insert, n);

    // Compute the solution to the modified  system
    DenseMatrix64F X = RandomMatrices.createRandom(n, 2, rand);
    DenseMatrix64F Y = new DenseMatrix64F(A_e.numRows, X.numCols);
    CommonOps.mult(A_e, X, Y);

    // create the solver from A then add a A.  The solver
    // should be equivalent to one created from A_e
    AdjustableLinearSolver adjSolver = new AdjLinearSolverQr();

    assertTrue(adjSolver.setA(A));
    adjSolver.addRowToA(row, insert);

    // solve the system and see if it gets the expected solution
    DenseMatrix64F X_found = RandomMatrices.createRandom(X.numRows, X.numCols, rand);
    adjSolver.solve(Y, X_found);

    // see if they produce the same results
    assertTrue(MatrixFeatures.isIdentical(X_found, X, 1e-8));
  }