do more in-place

This commit is contained in:
Jan Petykiewicz 2023-05-22 09:53:56 -07:00
parent fd1a83b5b9
commit 5c7deedb70

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@ -225,9 +225,11 @@ def maxwell_operator(
Args: Args:
h: Raveled h_mn; size `2 * epsilon[0].size`. h: Raveled h_mn; size `2 * epsilon[0].size`.
Altered in-place.
Returns: Returns:
Raveled conv(1/mu_k, ik x conv(1/eps_k, ik x h_mn)). Raveled conv(1/mu_k, ik x conv(1/eps_k, ik x h_mn)), returned
and overwritten in-place of `h`.
""" """
hin_m, hin_n = [hi.reshape(shape) for hi in numpy.split(h, 2)] hin_m, hin_n = [hi.reshape(shape) for hi in numpy.split(h, 2)]
@ -238,7 +240,9 @@ def maxwell_operator(
- m * hin_n) * k_mag - m * hin_n) * k_mag
# divide by epsilon # divide by epsilon
e_xyz = fftn(ifftn(d_xyz, axes=range(3)) / epsilon, axes=range(3)) temp = ifftn(d_xyz, axes=range(3)) # reuses d_xyz if using pyfftw
temp /= epsilon
e_xyz = fftn(temp, axes=range(3))
# cross product and transform into mn basis # cross product and transform into mn basis
b_m = numpy.sum(e_xyz * n, axis=3, keepdims=True) * -k_mag b_m = numpy.sum(e_xyz * n, axis=3, keepdims=True) * -k_mag
@ -252,7 +256,9 @@ def maxwell_operator(
+ n * b_n[:, :, :, None]) + n * b_n[:, :, :, None])
# divide by mu # divide by mu
h_xyz = fftn(ifftn(b_xyz, axes=range(3)) / mu, axes=range(3)) temp = ifftn(b_xyz, axes=range(3))
temp /= mu
h_xyz = fftn(temp, axes=range(3))
# transform back to mn # transform back to mn
h_m = numpy.sum(h_xyz * m, axis=3) h_m = numpy.sum(h_xyz * m, axis=3)
@ -397,7 +403,9 @@ def inverse_maxwell_operator_approx(
+ n * hin_n[:, :, :, None]) + n * hin_n[:, :, :, None])
# multiply by mu # multiply by mu
b_xyz = fftn(ifftn(h_xyz, axes=range(3)) * mu, axes=range(3)) temp = ifftn(h_xyz, axes=range(3))
temp *= mu
b_xyz = fftn(temp, axes=range(3))
# transform back to mn # transform back to mn
b_m = numpy.sum(b_xyz * m, axis=3) b_m = numpy.sum(b_xyz * m, axis=3)
@ -408,7 +416,9 @@ def inverse_maxwell_operator_approx(
- m * b_n) / k_mag - m * b_n) / k_mag
# multiply by epsilon # multiply by epsilon
d_xyz = fftn(ifftn(e_xyz, axes=range(3)) * epsilon, axes=range(3)) temp = ifftn(e_xyz, axes=range(3))
temp *= epsilon
d_xyz = fftn(temp, axes=range(3))
# cross product and transform into mn basis crossinv_t2c # cross product and transform into mn basis crossinv_t2c
h_m = numpy.sum(d_xyz * n, axis=3, keepdims=True) / +k_mag h_m = numpy.sum(d_xyz * n, axis=3, keepdims=True) / +k_mag