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misc.py
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misc.py
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from optistack import *
from numpy import fabs
x = optivar()
y = optivar()
optisolve((x-1)**2+x)
print optival(x)
assert(max(fabs(optival(x)-0.5)<1e-9))
##
p = optipar()
p.setValue(100)
nlp = optisolve((1-x)**2+p*(y-x**2)**2,[x**2+y**2<=1, x+y>=0])
print optival(x)
print optival(y)
assert(max(fabs(optival(x)-0.7864151510041)<1e-9))
assert(max(fabs(optival(y)-0.617698307517294)<1e-9))
assert(max(fabs(optival(x**2+y**2)-1)<1e-7))
p.setValue(10)
nlp.resolve()
assert(max(fabs(optival(x)-0.788740490289645)<1e-9))
assert(max(fabs(optival(y)-0.614726302810607)<1e-9))
assert(max(fabs(optival(x**2+y**2)-1)<1e-7))
##
nlp = optisolve((1-x)**2+100*(y-x**2)**2,[x**2+y**2==1])
print optival(x)
print optival(y)
assert(max(fabs(optival(x)-0.7864151510041)<1e-8))
assert(max(fabs(optival(y)-0.617698307517294)<1e-8))
assert(max(fabs(optival(x**2+y**2)-1)<1e-7))
##
nlp = optisolve((1-x)**2+100*(y-x**2)**2,[0<=x<=0.5,0<=y<=0.5])
print optival(x)
print optival(y)
assert(max(fabs(optival(x)-0.5)<1e-8))
assert(max(fabs(optival(y)-0.25)<1e-8))
##
nlp = optisolve((1-x)**2+100*(y-x**2)**2,[1.5<=x<=2,1.5<=y<=2])
print optival(x)
print optival(y)
assert(max(fabs(optival(x)-1.5)<1e-8))
assert(max(fabs(optival(y)-2)<1e-8))