import alc
A = alc.Array([
[5, -4, 1, 0],
[-4, 6, -4, 1],
[1, -4, 6, -4],
[0, 1, -4, 5],
])
print ("A = {}".format(A))
det = alc.utils.det(A)
print ("det(A) = {}".format(det))
import alc
A = alc.Array([
[3, 2, 0],
[2, 3, -1],
[0, -1, 3],
])
print("A = {}".format(A))
eigenvalues, eigenvectors = alc.jacobi_eigen(A)
print("autovalores = {}".format(eigenvalues))
print("autovetores = {}".format(eigenvectors))
import alc
A = alc.Array([
[5, -4, 1, 0],
[-4, 6, -4, 1],
[1, -4, 6, -4],
[0, 1, -4, 5],
])
B = alc.Array([
[-1],
[2],
[1],
[3]
])
print ("A = {}".format(A))
print ("B = {}".format(B))
try:
print ("==> Método de Jacobi")
x = alc.systems.solve(A, B, method='jacobi')
print ("x = {}".format(x))
except ValueError as e:
print (e)
try:
print ("==> Método de Gauss-Seidel")
x = alc.systems.solve(A, B, method='gauss_seidel')
print ("x = {}".format(x))
except ValueError as e:
print (e)
import alc
A = alc.Array([
[16, 9, 8, 7, 6, 5, 4, 3, 2, 1],
[9, 17, 9, 8, 7, 6, 5, 4, 3, 2],
[8, 9, 18, 9, 8, 7, 6, 5, 4, 3],
[7, 8, 9, 19, 9, 8, 7, 6, 5, 4],
[6, 7, 8, 9, 18, 9, 8, 7, 6, 5],
[5, 6, 7, 8, 9, 17, 9, 8, 7, 6],
[4, 5, 6, 7, 8, 9, 16, 9, 8, 7],
[3, 4, 5, 6, 7, 8, 9, 15, 9, 8],
[2, 3, 4, 5, 6, 7, 8, 9, 14, 9],
[1, 2, 3, 4, 5, 6, 7, 8, 9, 13],
])
print("A = {}".format(A))
det = alc.utils.det(A)
print("det(A) = {}".format(det))
