Esempio n. 1
0
File: g08.py Progetto: jcfr/mystic
from mystic.symbolic import generate_constraint, generate_solvers, solve
from mystic.symbolic import generate_penalty, generate_conditions

equations = """
x0**2 - x1 + 1.0 <= 0.0
1.0 - x0 + (x1 - 4)**2 <= 0.0
"""
#cf = generate_constraint(generate_solvers(solve(equations))) #XXX: inequalities
pf = generate_penalty(generate_conditions(equations), k=1e12)

from mystic.constraints import as_constraint

cf = as_constraint(pf)



if __name__ == '__main__':

    from mystic.solvers import buckshot
    from mystic.math import almostEqual

    result = buckshot(objective, 2, 40, bounds=bounds, penalty=pf, disp=False, full_output=True)

    assert almostEqual(result[0], xs, tol=1e-2)
    assert almostEqual(result[1], ys, rel=1e-2)



# EOF
Esempio n. 2
0
from mystic.symbolic import generate_constraint, generate_solvers, simplify
from mystic.symbolic import generate_penalty, generate_conditions

equations = """
x2 - x3 - 0.55 <= 0.0
x3 - x2 - 0.55 <= 0.0
abs(1000*(sin(-x2-.25) + sin(-x3-0.25)) + 894.8 - x0) = 0.0
abs(1000*(sin(x2-.25) + sin(x2-x3-0.25)) + 894.8 - x1) = 0.0
abs(1000*(sin(x3-.25) + sin(x3-x2-0.25)) + 1294.8) = 0.0
"""
#cf = generate_constraint(generate_solvers(simplify(equations)))
pf = generate_penalty(generate_conditions(equations), k=1e12)

if __name__ == '__main__':

    from mystic.solvers import buckshot
    from mystic.math import almostEqual

    result = buckshot(objective,
                      len(xs),
                      npts=100,
                      bounds=bounds,
                      penalty=pf,
                      disp=False,
                      full_output=True)

    assert almostEqual(result[0], xs, rel=1e-1)
    assert almostEqual(result[1], ys, rel=1e-1)

# EOF
Esempio n. 3
0
def penalty2(x):  # <= 0.0
    return 1.0 - x[0] + (x[1] - 4)**2


@quadratic_inequality(penalty1, k=1e12)
@quadratic_inequality(penalty2, k=1e12)
def penalty(x):
    return 0.0


solver = as_constraint(penalty)

if __name__ == '__main__':

    from mystic.solvers import buckshot
    from mystic.math import almostEqual

    result = buckshot(objective,
                      2,
                      40,
                      bounds=bounds,
                      penalty=penalty,
                      disp=False,
                      full_output=True)

    assert almostEqual(result[0], xs, tol=1e-2)
    assert almostEqual(result[1], ys, rel=1e-2)

# EOF
Esempio n. 4
0
ys = 5126.49810960

from mystic.symbolic import generate_constraint, generate_solvers, simplify
from mystic.symbolic import generate_penalty, generate_conditions

equations = """
x2 - x3 - 0.55 <= 0.0
x3 - x2 - 0.55 <= 0.0
abs(1000*(sin(-x2-.25) + sin(-x3-0.25)) + 894.8 - x0) = 0.0
abs(1000*(sin(x2-.25) + sin(x2-x3-0.25)) + 894.8 - x1) = 0.0
abs(1000*(sin(x3-.25) + sin(x3-x2-0.25)) + 1294.8) = 0.0
"""
#cf = generate_constraint(generate_solvers(simplify(equations)))
pf = generate_penalty(generate_conditions(equations), k=1e12)



if __name__ == '__main__':

    from mystic.solvers import buckshot
    from mystic.math import almostEqual

    result = buckshot(objective, len(xs), npts=100, bounds=bounds, penalty=pf, disp=False, full_output=True)

    assert almostEqual(result[0], xs, rel=1e-1)
    assert almostEqual(result[1], ys, rel=1e-1)



# EOF