from numpy import *
import current as pc
dist = pc.Normal()
orths = []
for poly in pc.basis(0, 4, dim=1):
for orth in orths:
coef = pc.E(orth * poly, dist) / pc.E(orth**2, dist)
poly = poly - orth * coef
orths.append(poly)
orths = pc.Poly(orths)
print orths
# [1.0, q0, q0^2-1.0, q0^3-3.0q0, q0^4-6.0q0^2+3.0]
#end
orths2 = pc.outer(orths, orths)
print pc.E(orths2, dist)
# [[ 1. 0. 0. 0. 0.]
# [ 0. 1. 0. 0. 0.]
# [ 0. 0. 2. 0. 0.]
# [ 0. 0. 0. 6. 0.]
# [ 0. 0. 0. 0. 24.]]
#end
dist = pc.Gamma(2)
print pc.orth_bert(2, dist)
# [1.0, q0-2.0, q0^2-6.0q0+6.0]
from numpy import *
import current as pc
def model_solver(q):
return q[1] * e**q[0] + 1
#end
coll_points = array([[0, 0, 1], [0, 1, 1]])
#end
basis = pc.basis(0, 1, 2)
print basis
# [1, q0, q1]
#end
solves = model_solver(coll_points)
print solves
# [ 1. 2. 3.71828183]
#end
approx_solver = pc.fitter_lr(basis, coll_points, solves)
print approx_solver
# q1+1.71828182846q0+1.0
#end
print approx_solver(*coll_points)
# [ 1. 2. 3.71828183]
#end
from numpy import *
import current as pc
dist = pc.Normal()
orths = []
for poly in pc.basis(0, 4, dim=1):
for orth in orths:
coef = pc.E(orth*poly, dist)/pc.E(orth**2, dist)
poly = poly - orth*coef
orths.append(poly)
orths = pc.Poly(orths)
print orths
# [1.0, q0, q0^2-1.0, q0^3-3.0q0, q0^4-6.0q0^2+3.0]
#end
orths2 = pc.outer(orths, orths)
print pc.E(orths2, dist)
# [[ 1. 0. 0. 0. 0.]
# [ 0. 1. 0. 0. 0.]
# [ 0. 0. 2. 0. 0.]
# [ 0. 0. 0. 6. 0.]
# [ 0. 0. 0. 0. 24.]]
#end
dist = pc.Gamma(2)
print pc.orth_bert(2, dist)
# [1.0, q0-2.0, q0^2-6.0q0+6.0]
from numpy import * import current as pc x, y = pc.variable(2) print x # q0 #end polys = pc.Poly([1, x, x * y]) print polys # [1, q0, q0q1] #end print pc.basis(4) # [1, q0, q0^2, q0^3, q0^4] #end print pc.basis(1, 2, dim=2) # [q0, q1, q0^2, q0q1, q1^2] #end print pc.basis(1, [1, 2]) # [q0, q1, q0q1, q1^2, q0q1^2] #end print pc.basis(1, 2, dim=2, sort="GRI") # [q0^2, q0q1, q1^2, q0, q1] #end poly = pc.Poly([1, x**2, x * y]) print poly(2, 3)
from numpy import *
import current as pc
def model_solver(q):
return q[1]*e**q[0]+1
#end
coll_points = array([[0,0,1],[0,1,1]])
#end
basis = pc.basis(0,1,2)
print basis
# [1, q0, q1]
#end
solves = model_solver(coll_points)
print solves
# [ 1. 2. 3.71828183]
#end
approx_solver = pc.fitter_lr(basis, coll_points, solves)
print approx_solver
# q1+1.71828182846q0+1.0
#end
print approx_solver(*coll_points)
# [ 1. 2. 3.71828183]
#end
from numpy import * import current as pc x,y = pc.variable(2) print x # q0 #end polys = pc.Poly([1, x, x*y]) print polys # [1, q0, q0q1] #end print pc.basis(4) # [1, q0, q0^2, q0^3, q0^4] #end print pc.basis(1, 2, dim=2) # [q0, q1, q0^2, q0q1, q1^2] #end print pc.basis(1, [1, 2]) # [q0, q1, q0q1, q1^2, q0q1^2] #end print pc.basis(1, 2, dim=2, sort="GRI") # [q0^2, q0q1, q1^2, q0, q1] #end poly = pc.Poly([1, x**2, x*y]) print poly(2, 3)