def calc_bspline(order, knots, index, x):
""" compute value of B-Spline function at x
order(Int) : B-Spline order (k in paper)
knots( [(double,Int)]) : knot location and multiplicity
index(Int) : index of B-Spline (0 origin)
x(double) :
"""
ts = make_ts(knots)
xs = np.array([x])
ys = calc_bspline_xs(order, ts, index, xs)
return ys[0]
def psi(self, cs, xs):
ys_list = np.array([c*calc_bspline_xs(self.order, self.ts, u.index, xs)
for (c, u) in zip(cs, self.basis)])
return np.sum(ys_list, axis=0)
def basis_psi(self, xs):
return np.array([calc_bspline_xs(self.order, self.ts, u.index, xs)
for u in self.basis])
def one_basis(i):
non0 = non0_q_list(order, self.knots, i)
val = calc_bspline_xs(order, ts, i, xs)
deriv = calc_deriv_bspline_xs(order, ts, i, xs)
return BSpline(i, non0, val, deriv)
