Exemple #1
0
def main() -> None:
    """Find the root f(x) by bisection method."""
    l_border = misc.inputf('left border: ')
    r_border = misc.inputf('right border: ')
    eps = misc.inputf('eps: ')

    x_root = bisect_root(f, l_border, r_border, eps)
    f_root = f(x_root)

    print(f'L:   {l_border}\n' f'R:   {r_border}\n' f'eps: {eps}\n')

    print(f'root    = {x_root}\n' f'f(root) = {f_root}\n')

    # Plot result.
    vector_x = np.arange(l_border - 1, r_border + 1, 0.1)

    vectors = [
        VectorXY(vector_x, f(vector_x), 'slategrey', 'f'),
    ]

    dots = [
        Dot(x_root, f_root, 'ro'),
    ]

    lines_xv = [
        LineXV(l_border, 'g'),
        LineXV(r_border, 'g'),
    ]

    plot_1d(vectors=vectors, dots=dots, lines_xv=lines_xv)
def main() -> None:
    """Newton method example."""
    start_x = misc.inputf('Enter start X: ')
    start_y = misc.inputf('Enter start Y: ')
    eps = misc.inputf('eps: ')

    x_min, y_min = newton_2d(f, start_x, start_y, eps)
    f_min = f(x_min, y_min)

    print(f'x_min           = {x_min}\n'
          f'y_min           = {y_min}\n'
          f'f(x_min, y_min) = {f_min}\n')

    # Plot result.
    dots = [
        Dot(x_min, y_min, 'ro'),
    ]

    plot_2d(f, dots=dots)
def main() -> None:
    """Conjugate gradient method example."""
    start_x = inputf('Enter start X: ')
    start_y = inputf('Enter start Y: ')
    eps = inputf('eps: ')

    x_min, y_min = conjugate_gradient_2d(f, start_x, start_y, eps)
    f_min = f(x_min, y_min)

    print(f'x_min           = {x_min}\n'
          f'y_min           = {y_min}\n'
          f'f(x_min, y_min) = {f_min}\n')

    # Plot result.
    dots = [
        Dot(x_min, y_min, 'ro'),
    ]

    plot_2d(f, dots=dots)
Exemple #4
0
def main() -> None:
    """Find extremum dots f(x) by bisection method."""
    l_border = misc.inputf('left border: ')
    r_border = misc.inputf('right border: ')
    eps = misc.inputf('eps: ')

    x_min = bisect_extremum(f, l_border, r_border, eps, mode='min')
    x_max = bisect_extremum(f, l_border, r_border, eps, mode='max')

    f_min = f(x_min)
    f_max = f(x_max)

    print(f'L:   {l_border}\n' f'R:   {r_border}\n' f'eps: {eps}\n')

    print(f'x_min    = {x_min}\n'
          f'f(x_min) = {f_min}\n'
          f'x_max    = {x_max}\n'
          f'f(x_max) = {f_max}\n')

    # Plot result.
    vector_x = np.arange(l_border - 1, r_border + 1, 0.1)

    vectors = [
        VectorXY(vector_x, f(vector_x), 'slategrey', 'function'),
    ]

    dots = [
        Dot(x_min, f_min, 'bo'),
        Dot(x_max, f_max, 'ro'),
    ]

    lines_xv = [
        LineXV(l_border, 'g'),
        LineXV(r_border, 'g'),
    ]

    plot_1d(vectors=vectors, dots=dots, lines_xv=lines_xv)