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Masterprojekt-Campusnetz/Datumsfestlegung.py
2025-12-18 16:41:13 +01:00

81 lines
1.8 KiB
Python

import sympy as sp
from typing import List, Iterable, Tuple
def raenderungsmatrix_G(
x0: sp.Matrix,
idx_X: List[int],
idx_Y: List[int],
idx_Z: List[int],
mit_massstab: bool = True,
) -> sp.Matrix:
u = x0.rows
d = 7 if mit_massstab else 6
G = sp.zeros(u, d)
# --- Translationen ---
for i in idx_X:
G[i, 0] = 1
for i in idx_Y:
G[i, 1] = 1
for i in idx_Z:
G[i, 2] = 1
# --- Rotationen ---
# Rotation um X-Achse
for iy, iz in zip(idx_Y, idx_Z):
zi = x0[iz, 0]
yi = x0[iy, 0]
G[iy, 3] = -zi
G[iz, 3] = yi
# Rotation um Y-Achse
for ix, iz in zip(idx_X, idx_Z):
zi = x0[iz, 0]
xi = x0[ix, 0]
G[ix, 4] = zi
G[iz, 4] = -xi
# Rotation um Z-Achse
for ix, iy in zip(idx_X, idx_Y):
yi = x0[iy, 0]
xi = x0[ix, 0]
G[ix, 5] = -yi
G[iy, 5] = xi
# --- Maßstab ---
if mit_massstab:
for ix, iy, iz in zip(idx_X, idx_Y, idx_Z):
xi = x0[ix, 0]
yi = x0[iy, 0]
zi = x0[iz, 0]
G[ix, 6] = xi
G[iy, 6] = yi
G[iz, 6] = zi
return G
def auswahlmatrix_E(u: int, aktive_unbekannte_indices: Iterable[int]) -> sp.Matrix:
E = sp.zeros(u, u)
for idx in aktive_unbekannte_indices:
E[int(idx), int(idx)] = 1
return E
def teilspurminimierung_Gi(G: sp.Matrix, E: sp.Matrix) -> sp.Matrix:
Gi = E * G
return Gi
def berechne_dx_geraendert(N: sp.Matrix, n: sp.Matrix, Gi: sp.Matrix) -> sp.Matrix:
u = N.rows
d = Gi.shape[1]
K = N.row_join(Gi)
K = K.col_join(Gi.T.row_join(sp.zeros(d, d)))
rhs = n.col_join(sp.zeros(d, 1))
sol = K.LUsolve(rhs)
dx = sol[:u, :]
return dx