Change pyarpackCGILU to solve hermitian non-general problem

This commit is contained in:
Fabien Péan
2023-09-14 12:12:59 +02:00
committed by Franck HOUSSEN
parent de52ee6e32
commit 12300c1d4b
+6 -13
View File
@@ -18,9 +18,9 @@ for k in range(n):
if l == k:
Aij = np.append(Aij, np.complex128(complex( 200., 200.))) # Casting value on append is MANDATORY or C++ won't get the expected type.
if l == k-1:
Aij = np.append(Aij, np.complex128(complex(-101., -101.))) # Casting value on append is MANDATORY or C++ won't get the expected type.
Aij = np.append(Aij, np.complex128(complex(-100., -100.))) # Casting value on append is MANDATORY or C++ won't get the expected type.
if l == k+1:
Aij = np.append(Aij, np.complex128(complex( -99., -99.))) # Casting value on append is MANDATORY or C++ won't get the expected type.
Aij = np.append(Aij, np.complex128(complex( -100., 100.))) # Casting value on append is MANDATORY or C++ won't get the expected type.
for k, l, Akl in zip(i, j, Aij):
print("A[", k, ",", l, "] =", Akl)
A = (n, i, j, Aij) # coo format: dimension, i 0-based indices, j 0-based indices, Aij values.
@@ -69,7 +69,6 @@ n = 8
i = np.array([], dtype='@PYINT@')
j = np.array([], dtype='@PYINT@')
Aij = np.array([], dtype='complex64')
Bij = np.array([], dtype='complex64')
for k in range(n):
for l in [k-1, k, k+1]:
if l < 0 or l > n-1:
@@ -78,19 +77,13 @@ for k in range(n):
j = np.append(j, np.@PYINT@(l+1)) # Casting value on append is MANDATORY or C++ won't get the expected type.
if l == k:
Aij = np.append(Aij, np.complex64(complex( 200., 200.))) # Casting value on append is MANDATORY or C++ won't get the expected type.
Bij = np.append(Bij, np.complex64(complex( 33.3, 33.3))) # Casting value on append is MANDATORY or C++ won't get the expected type.
if l == k-1:
Aij = np.append(Aij, np.complex64(complex(-101., -101.))) # Casting value on append is MANDATORY or C++ won't get the expected type.
Bij = np.append(Bij, np.complex64(complex( 16.6, 16.6))) # Casting value on append is MANDATORY or C++ won't get the expected type.
Aij = np.append(Aij, np.complex64(complex(-100., -100.))) # Casting value on append is MANDATORY or C++ won't get the expected type.
if l == k+1:
Aij = np.append(Aij, np.complex64(complex( -99., -99.))) # Casting value on append is MANDATORY or C++ won't get the expected type.
Bij = np.append(Bij, np.complex64(complex( 16.6, 16.6))) # Casting value on append is MANDATORY or C++ won't get the expected type.
Aij = np.append(Aij, np.complex64(complex( -100., 100.))) # Casting value on append is MANDATORY or C++ won't get the expected type.
for k, l, Akl in zip(i, j, Aij):
print("A[", k, ",", l, "] =", Akl)
for k, l, Bkl in zip(i, j, Bij):
print("B[", k, ",", l, "] =", Bkl)
A = (n, i, j, Aij) # coo format: dimension, i 1-based indices, j 1-based indices, Aij values.
B = (n, i, j, Bij) # coo format: dimension, i 1-based indices, j 1-based indices, Bij values.
# Get and tune arpack solver.
@@ -111,9 +104,9 @@ arpackSlv.symPb = False
# Solve eigen problem.
rc = arpackSlv.solve(A, B)
rc = arpackSlv.solve(A)
assert rc == 0, "bad solve"
rc = arpackSlv.checkEigVec(A, B, 1.)
rc = arpackSlv.checkEigVec(A)
assert rc == 0, "bad checkEigVec"
# Print out results (mode selected, eigen vectors, eigen values, ...).