本文整理匯總了Python中scipy.sparse.linalg.interface.aslinearoperator方法的典型用法代碼示例。如果您正苦於以下問題：Python interface.aslinearoperator方法的具體用法？Python interface.aslinearoperator怎麽用？Python interface.aslinearoperator使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類scipy.sparse.linalg.interface的用法示例。
在下文中一共展示了interface.aslinearoperator方法的10個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_basic
# 需要導入模塊: from scipy.sparse.linalg import interface [as 別名]
# 或者: from scipy.sparse.linalg.interface import aslinearoperator [as 別名]
def test_basic(self):
for M in self.cases:
A = interface.aslinearoperator(M)
M,N = A.shape
assert_equal(A.matvec(np.array([1,2,3])), [14,32])
assert_equal(A.matvec(np.array([[1],[2],[3]])), [[14],[32]])
assert_equal(A * np.array([1,2,3]), [14,32])
assert_equal(A * np.array([[1],[2],[3]]), [[14],[32]])
assert_equal(A.rmatvec(np.array([1,2])), [9,12,15])
assert_equal(A.rmatvec(np.array([[1],[2]])), [[9],[12],[15]])
assert_equal(
A.matmat(np.array([[1,4],[2,5],[3,6]])),
[[14,32],[32,77]])
assert_equal(A * np.array([[1,4],[2,5],[3,6]]), [[14,32],[32,77]])
if hasattr(M,'dtype'):
assert_equal(A.dtype, M.dtype) 示例2: test_basic
# 需要導入模塊: from scipy.sparse.linalg import interface [as 別名]
# 或者: from scipy.sparse.linalg.interface import aslinearoperator [as 別名]
def test_basic(self):
for M in self.cases:
A = interface.aslinearoperator(M)
M,N = A.shape
assert_equal(A.matvec(np.array([1,2,3])), [14,32])
assert_equal(A.matvec(np.array([[1],[2],[3]])), [[14],[32]])
assert_equal(A * np.array([1,2,3]), [14,32])
assert_equal(A * np.array([[1],[2],[3]]), [[14],[32]])
assert_equal(A.rmatvec(np.array([1,2])), [9,12,15])
assert_equal(A.rmatvec(np.array([[1],[2]])), [[9],[12],[15]])
assert_equal(A.H.matvec(np.array([1,2])), [9,12,15])
assert_equal(A.H.matvec(np.array([[1],[2]])), [[9],[12],[15]])
assert_equal(
A.matmat(np.array([[1,4],[2,5],[3,6]])),
[[14,32],[32,77]])
assert_equal(A * np.array([[1,4],[2,5],[3,6]]), [[14,32],[32,77]])
if hasattr(M,'dtype'):
assert_equal(A.dtype, M.dtype) 示例3: _aslinearoperator_with_dtype
# 需要導入模塊: from scipy.sparse.linalg import interface [as 別名]
# 或者: from scipy.sparse.linalg.interface import aslinearoperator [as 別名]
def _aslinearoperator_with_dtype(m):
m = aslinearoperator(m)
if not hasattr(m, 'dtype'):
x = np.zeros(m.shape[1])
m.dtype = (m * x).dtype
return m 示例4: assertCompatibleSystem
# 需要導入模塊: from scipy.sparse.linalg import interface [as 別名]
# 或者: from scipy.sparse.linalg.interface import aslinearoperator [as 別名]
def assertCompatibleSystem(self, A, xtrue):
Afun = aslinearoperator(A)
b = Afun.matvec(xtrue)
x = lsmr(A,b)[0]
assert_almost_equal(norm(x - xtrue), 0, 6) 示例5: setUp
# 需要導入模塊: from scipy.sparse.linalg import interface [as 別名]
# 或者: from scipy.sparse.linalg.interface import aslinearoperator [as 別名]
def setUp(self):
self.n = 10
self.A = lowerBidiagonalMatrix(20,self.n)
self.xtrue = transpose(arange(self.n,0,-1))
self.Afun = aslinearoperator(self.A)
self.b = self.Afun.matvec(self.xtrue)
self.returnValues = lsmr(self.A,self.b) 示例6: lsmrtest
# 需要導入模塊: from scipy.sparse.linalg import interface [as 別名]
# 或者: from scipy.sparse.linalg.interface import aslinearoperator [as 別名]
def lsmrtest(m, n, damp):
"""Verbose testing of lsmr"""
A = lowerBidiagonalMatrix(m,n)
xtrue = arange(n,0,-1, dtype=float)
Afun = aslinearoperator(A)
b = Afun.matvec(xtrue)
atol = 1.0e-7
btol = 1.0e-7
conlim = 1.0e+10
itnlim = 10*n
show = 1
x, istop, itn, normr, normar, norma, conda, normx \
= lsmr(A, b, damp, atol, btol, conlim, itnlim, show)
j1 = min(n,5)
j2 = max(n-4,1)
print(' ')
print('First elements of x:')
str = ['%10.4f' % (xi) for xi in x[0:j1]]
print(''.join(str))
print(' ')
print('Last elements of x:')
str = ['%10.4f' % (xi) for xi in x[j2-1:]]
print(''.join(str))
r = b - Afun.matvec(x)
r2 = sqrt(norm(r)**2 + (damp*norm(x))**2)
print(' ')
str = 'normr (est.) %17.10e' % (normr)
str2 = 'normr (true) %17.10e' % (r2)
print(str)
print(str2)
print(' ') 示例7: test_dot
# 需要導入模塊: from scipy.sparse.linalg import interface [as 別名]
# 或者: from scipy.sparse.linalg.interface import aslinearoperator [as 別名]
def test_dot(self):
for M in self.cases:
A = interface.aslinearoperator(M)
M,N = A.shape
assert_equal(A.dot(np.array([1,2,3])), [14,32])
assert_equal(A.dot(np.array([[1],[2],[3]])), [[14],[32]])
assert_equal(
A.dot(np.array([[1,4],[2,5],[3,6]])),
[[14,32],[32,77]]) 示例8: assertCompatibleSystem
# 需要導入模塊: from scipy.sparse.linalg import interface [as 別名]
# 或者: from scipy.sparse.linalg.interface import aslinearoperator [as 別名]
def assertCompatibleSystem(self, A, xtrue):
Afun = aslinearoperator(A)
b = Afun.matvec(xtrue)
x = lsmr(A, b)[0]
assert_almost_equal(norm(x - xtrue), 0, decimal=5) 示例9: setup_method
# 需要導入模塊: from scipy.sparse.linalg import interface [as 別名]
# 或者: from scipy.sparse.linalg.interface import aslinearoperator [as 別名]
def setup_method(self):
self.n = 10
self.A = lowerBidiagonalMatrix(20,self.n)
self.xtrue = transpose(arange(self.n,0,-1))
self.Afun = aslinearoperator(self.A)
self.b = self.Afun.matvec(self.xtrue)
self.returnValues = lsmr(self.A,self.b) 示例10: test_dtypes_of_operator_sum
# 需要導入模塊: from scipy.sparse.linalg import interface [as 別名]
# 或者: from scipy.sparse.linalg.interface import aslinearoperator [as 別名]
def test_dtypes_of_operator_sum():
# gh-6078
mat_complex = np.random.rand(2,2) + 1j * np.random.rand(2,2)
mat_real = np.random.rand(2,2)
complex_operator = interface.aslinearoperator(mat_complex)
real_operator = interface.aslinearoperator(mat_real)
sum_complex = complex_operator + complex_operator
sum_real = real_operator + real_operator
assert_equal(sum_real.dtype, np.float64)
assert_equal(sum_complex.dtype, np.complex128)