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Algorithmen Test

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Hendrik Möllersmann
2026-01-17 18:51:47 +01:00
parent 505aee6de7
commit 07212dcc97
8 changed files with 457 additions and 33 deletions
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6
GHA_triaxial/ES_gha2.py
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@@ -128,14 +128,14 @@ def gha2_ES(ell: EllipsoidTriaxial, P0: NDArray, Pk: NDArray, stepLenTarget: flo
P_prev = P_next
print('Maximale Schrittanzahl erreicht.')
P_all.append(P_end)
# P_all.append(P_end)
totalLen += Bogenlaenge(P_prev, P_end)
p0i = ell.point_onto_ellipsoid(P0 + 10 * (P_all[1] - P0) / np.linalg.norm(P_all[1] - P0))
p0i = ell.point_onto_ellipsoid(P0 + stepLenTarget/1000 * (P_all[1] - P0) / np.linalg.norm(P_all[1] - P0))
sigma0 = (p0i - P0) / np.linalg.norm(p0i - P0)
alpha0 = sigma2alpha(ell_ES, sigma0, P0)
p1i = ell.point_onto_ellipsoid(Pk - 10 * (Pk - P_all[-2]) / np.linalg.norm(Pk - P_all[-2]))
p1i = ell.point_onto_ellipsoid(Pk - stepLenTarget/1000 * (Pk - P_all[-2]) / np.linalg.norm(Pk - P_all[-2]))
sigma1 = (Pk - p1i) / np.linalg.norm(Pk - p1i)
alpha1 = sigma2alpha(ell_ES, sigma1, Pk)