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feat: Added numerical integration of generic functions (#201)

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* feat: Added numerical integration of generic functions

* refactored integration routines

* tests: two trivial tests for integration added.

* docs: quad docstring corrected.

* Small bugfix for integration without obs

---------

Co-authored-by: Fabian Joswig <fabian.joswig@ed.ac.uk>
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s-kuberski 2023-07-14 15:21:59 +02:00 • committed by GitHub
parent 8736d1cd3c
commit 6dcd0c3518
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4 changed files with 141 additions and 2 deletions
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tests/linalg_test.py
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@ -14,9 +14,9 @@ def get_real_matrix(dimension):
exponent_imag = np.random.normal(0, 1)
base_matrix[n, m] = pe.Obs([np.random.normal(1.0, 0.1, 100)], ['t'])
return base_matrix
def get_complex_matrix(dimension):
base_matrix = np.empty((dimension, dimension), dtype=object)
for (n, m), entry in np.ndenumerate(base_matrix):
@ -109,7 +109,6 @@ def test_einsum():
assert np.all([o.imag.is_zero_within_error(0.001) for o in arr])
assert np.all([o.imag.dvalue < 0.001 for o in arr])
tt = [get_real_matrix(4), get_real_matrix(3)]
q = np.tensordot(tt[0], tt[1], 0)
c1 = tt[1] @ q
@ -355,3 +354,4 @@ def test_complex_matrix_real_entries():
my_mat[0, 1] = 4
my_mat[2, 0] = pe.Obs([np.random.normal(1.0, 0.1, 100)], ['t'])
assert np.all((my_mat @ pe.linalg.inv(my_mat) - np.identity(4)) == 0)