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Add the 'product' function to misc.py.
[sage.d.git] / mjo / interpolation.py
1 from sage.all import *
2 load('~/.sage/init.sage')
3
4 def lagrange_coefficient(k, x, xs):
5 """
6 Returns the coefficient function l_{k}(variable) of y_{k} in the
7 Lagrange polynomial of f. See,
8
9 http://en.wikipedia.org/wiki/Lagrange_polynomial
10
11 for more information.
12
13 INPUT:
14
15 - ``k`` -- the index of the coefficient.
16
17 - ``x`` -- the symbolic variable to use for the first argument
18 of l_{k}.
19
20 - ``xs`` -- The list of points at which the function values are
21 known.
22
23 OUTPUT:
24
25 A symbolic function of one variable.
26
27 TESTS::
28
29 sage: xs = [ -pi/2, -pi/6, 0, pi/6, pi/2 ]
30 sage: lagrange_coefficient(0, x, xs)
31 1/8*(pi - 6*x)*(pi - 2*x)*(pi + 6*x)*x/pi^4
32
33 """
34 numerator = product([x - xs[j] for j in range(0, len(xs)) if j != k])
35 denominator = product([xs[k] - xs[j] for j in range(0, len(xs)) if j != k])
36
37 return (numerator / denominator)
38
39
40
41 def lagrange_polynomial(f, x, xs):
42 """
43 Return the Lagrange form of the interpolation polynomial in `x` of
44 `f` at the points `xs`.
45
46 INPUT:
47
48 - ``f`` - The function to interpolate.
49
50 - ``x`` - The independent variable of the resulting polynomial.
51
52 - ``xs`` - The list of points at which we interpolate `f`.
53
54 OUTPUT:
55
56 A symbolic function (polynomial) interpolating `f` at `xs`.
57
58 TESTS::
59
60 sage: xs = [ -pi/2, -pi/6, 0, pi/6, pi/2 ]
61 sage: L = lagrange_polynomial(sin, x, xs)
62 sage: expected = 27/16*(pi - 6*x)*(pi - 2*x)*(pi + 2*x)*x/pi^4
63 sage: expected -= 1/8*(pi - 6*x)*(pi - 2*x)*(pi + 6*x)*x/pi^4
64 sage: expected -= 1/8*(pi - 6*x)*(pi + 2*x)*(pi + 6*x)*x/pi^4
65 sage: expected += 27/16*(pi - 2*x)*(pi + 2*x)*(pi + 6*x)*x/pi^4
66 sage: bool(L == expected)
67 True
68
69 """
70 ys = [ f(xs[k]) for k in range(0, len(xs)) ]
71 ls = [ lagrange_coefficient(k, x, xs) for k in range(0, len(xs)) ]
72 sigma = sum([ ys[k] * ls[k] for k in range(0, len(xs)) ])
73 return sigma