1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
|
#! /usr/bin/env python
import openturns as ot
ot.TESTPREAMBLE()
dimension = 2
# Create the orthogonal basis
enumerateFunction = ot.LinearEnumerateFunction(dimension)
productBasis = ot.OrthogonalProductPolynomialFactory(
[ot.LegendreFactory(), ot.HermiteFactory()], enumerateFunction
)
print(productBasis)
print("print() :")
for i in range(20):
p = productBasis.build(i)
print("type = ", type(p))
print(p)
print(p._repr_html_())
# Test build from multi-index
for i in range(20):
index = enumerateFunction(i)
termBasis2 = productBasis.build(index)
# Test getMarginal
enumerateFunction = ot.LinearEnumerateFunction(5)
productBasis = ot.OrthogonalProductPolynomialFactory(
[
ot.LegendreFactory(),
ot.HermiteFactory(),
ot.LegendreFactory(),
ot.HermiteFactory(),
ot.HermiteFactory(),
],
enumerateFunction,
)
productBasisMarginal = productBasis.getMarginal([0, 2, 4])
for i in range(20):
function = productBasisMarginal.build(i)
# Test isTensorProduct()
assert productBasis.isTensorProduct()
|
