Exemple #1
0
int TestCaseFunctionOperatorObj(){
    
    SparseMatrix A{3,3, true};
    A(0, 0) = 1;
    A(0, 1) = 1;
    A(0, 2) = 1;
    A(1, 2) = 5;
    A(2, 2) = -1;
    A.build();
    
    DenseMatrix b{3};
    b(0) = 6;
    b(1) = -4;
    b(2) = 27;
    
    // Ax = b
    Factor factor = A.analyze();
    bool res = factor.factorize(A);
    TINYTEST_ASSERT(res);
    
    DenseMatrix x = solve(factor, b);
    double expected[] = {2.78571f,4.57143f,-1.35714f};
    assertEqual(expected, x.getData(), 3);
    
    // update values
    A.zero();
    A(0, 0) = 2;
    A(0, 1) = 9;
    A(0, 2) = 7;
    A(1, 2) = 8;
    A(2, 2) = -3;
    
    factor.factorize(A);
    x = solve(factor, b);
    
    double expected2[] = {1.0935,1.76937,-1.73019};
    assertEqual(expected2, x.getData(), 3);
    
    return 1;
}
Exemple #2
0
int SolveSparseDenseFactorTestObj()
{
    SparseMatrix A{3,3, true};
    A(0, 0) = 1;
    A(0, 1) = 1;
    A(0, 2) = 1;
    A(1, 2) = 5;
    A(2, 2) = -1;
    A.build();
    
    DenseMatrix b{3};
    b(0) = 6;
    b(1) = -4;
    b(2) = 27;
    
    Factor F;
    F = A.analyze();
    bool res = F.factorize(A);
    DenseMatrix x = solve(F, b);
    double expected[] = {2.78571f,4.57143f,-1.35714f};
    assertEqual(expected, x.getData(), 3);
    
    // update values
    A.zero();
    A(0, 0) = 2;
    A(0, 1) = 9;
    A(0, 2) = 7;
    A(1, 2) = 8;
    A(2, 2) = -3;
    
    F.factorize(A);
    x = solve(F, b);
    double expected2[] = {1.0935,1.76937,-1.73019};
    assertEqual(expected2, x.getData(), 3);
    
    return 1;
}
Exemple #3
0
int SingularTestObj(){
    SparseMatrix A{3,3, true};
    
    A(2, 2) = 1;
    
    A.build();
    
    DenseMatrix b{3};
    b(0) = 0;
    b(1) = 1;
    b(2) = 0;
    
    Factor factor = A.analyze();
    bool res = factor.factorize(A);
    TINYTEST_ASSERT(!res);
    DenseMatrix x = solve(factor, b);
    return 1;
}