numpy.linalg.linalg

Standard library module View source
class LinearizeData
@tuple 
class LinearizeData
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Fields 5
rows int
cols int
row_strides int
col_strides int
out_lead_dim int
Constructors 1
__new__ 
__new__(rows: int, cols: int, row_strides: int, col_strides: int)
Methods 5
linearize 
linearize(self, dst: Ptr[T], src: Ptr[T], T: type)
delinearize 
delinearize(self, dst: Ptr[T], src: Ptr[T], T: type)
nan_matrix 
nan_matrix(self, dst: Ptr[T], T: type)
zero_matrix 
zero_matrix(self, dst: Ptr[T], T: type)
identity_matrix 
identity_matrix(dst: Ptr[T], n: int, T: type)
class SlogdetResult
@tuple 
class SlogdetResult[A, B]
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Fields 4
sign A
logabsdet B
A type
B type
Special methods 1
__getitem__ 
__getitem__(self, idx: Literal[int])
function slogdet 
slogdet(a)
function det 
det(a)
class EighParams 
class EighParams[T, B]
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Fields 14
A Ptr[T]
W Ptr[B]
WORK Ptr[T]
RWORK Ptr[B]
IWORK Ptr[fint]
N fint
LWORK fint
LRWORK fint
LIWORK fint
JOBZ u8
UPLO u8
LDA fint
T type
B type
Constructors 1
__init__ 
__init__(self, JOBZ: u8, UPLO: u8, N: fint)
Methods 2
release 
release(self)
call 
call(self)
class EighResult
@tuple 
class EighResult[A, B]
View complete class API →
Fields 4
eigenvalues A
eigenvectors B
A type
B type
Special methods 1
__getitem__ 
__getitem__(self, idx: Literal[int])
function eigh 
eigh(a, UPLO: str = "L")
function eigvalsh 
eigvalsh(a, UPLO: str = "L")
class GesvParams 
class GesvParams[T]
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Fields 8
A Ptr[T]
B Ptr[T]
IPIV Ptr[fint]
N fint
NRHS fint
LDA fint
LDB fint
T type
Constructors 1
__init__ 
__init__(self, N: fint, NRHS: fint)
Methods 2
release 
release(self)
call 
call(self)
function solve 
solve(a, b)
function inv 
inv(a)
class PotrfParams 
class PotrfParams[T]
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Fields 5
A Ptr[T]
N fint
LDA fint
UPLO u8
T type
Constructors 1
__init__ 
__init__(self, UPLO: u8, N: fint)
Methods 4
zero_lower_triangle 
zero_lower_triangle(self)
zero_upper_triangle 
zero_upper_triangle(self)
call 
call(self)
release 
release(self)
function cholesky 
cholesky(a, upper: bool = False)
class GeevParams 
class GeevParams[T, B]
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Fields 18
A Ptr[T]
WR Ptr[B]
WI Ptr[T]
VLR Ptr[T]
VRR Ptr[T]
WORK Ptr[T]
W Ptr[T]
VL Ptr[T]
VR Ptr[T]
N fint
LDA fint
LDVL fint
LDVR fint
LWORK fint
JOBVL u8
JOBVR u8
T type
B type
Constructors 1
__init__ 
__init__(self, jobvl: u8, jobvr: u8, n: fint)
Methods 3
call 
call(self)
release 
release(self)
process_geev_results 
process_geev_results(self)
class EigResult
@tuple 
class EigResult[A, B]
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Fields 4
eigenvalues A
eigenvectors B
A type
B type
Special methods 1
__getitem__ 
__getitem__(self, idx: Literal[int])
function eig 
eig(a)
function eigvals 
eigvals(a)
class GesddParams 
class GesddParams[T, B]
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Fields 16
A Ptr[T]
S Ptr[B]
U Ptr[T]
VT Ptr[T]
WORK Ptr[T]
RWORK Ptr[B]
IWORK Ptr[fint]
M fint
N fint
LDA fint
LDU fint
LDVT fint
LWORK fint
JOBZ u8
T type
B type
Constructors 1
__init__ 
__init__(self, jobz: u8, m: fint, n: fint)
Methods 2
call 
call(self)
release 
release(self)
class SVDResult
@tuple 
class SVDResult[A1, A2]
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Fields 5
U A1
S A2
Vh A1
A1 type
A2 type
Special methods 1
__getitem__ 
__getitem__(self, idx: Literal[int])
function svd 
svd(a, full_matrices: bool = True, compute_uv: Literal[bool] = True, hermitian: bool = False)
function svdvals 
svdvals(x)
class GeqrfParams 
class GeqrfParams[T]
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Fields 8
M fint
N fint
A Ptr[T]
LDA fint
TAU Ptr[T]
WORK Ptr[T]
LWORK fint
T type
Constructors 1
__init__ 
__init__(self, m: fint, n: fint)
Methods 2
call 
call(self)
release 
release(self)
class GqrParams 
class GqrParams[T]
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Fields 10
M fint
MC fint
MN fint
A Ptr[T]
Q Ptr[T]
LDA fint
TAU Ptr[T]
WORK Ptr[T]
LWORK fint
T type
Constructors 2
__init__ 
__init__(self, m: fint, n: fint, mc: fint)
__init__ 
__init__(self, m: fint, n: fint)
Methods 2
call 
call(self)
release 
release(self)
class QRResult
@tuple 
class QRResult[A]
View complete class API →
Fields 3
Q A
R A
A type
Special methods 1
__getitem__ 
__getitem__(self, idx: Literal[int])
function qr 
qr(a, mode: Literal[str] = "reduced")
class GelsdParams 
class GelsdParams[T, B]
View complete class API →
Fields 16
M fint
N fint
NRHS fint
A Ptr[T]
LDA fint
B_ Ptr[T]
LDB fint
S Ptr[B]
RCOND Ptr[B]
RANK fint
WORK Ptr[T]
LWORK fint
RWORK Ptr[B]
IWORK Ptr[fint]
T type
B type
Constructors 1
__init__ 
__init__(self, m: fint, n: fint, nrhs: fint)
Methods 2
call 
call(self)
release 
release(self)
function lstsq 
lstsq(a, b, rcond = None)
variable BLAS_MAXSIZE 
BLAS_MAXSIZE: Literal[int] = 2147483646
function matmul 
matmul(x1, x2)
function dot 
dot(a, b, out = None)
function matrix_power 
matrix_power(a, n: int)
@overload 
matrix_power(a, n: Literal[int])
function multi_dot 
multi_dot(arrays, out = None)
function vdot 
vdot(a, b)
function outer 
outer(a, b, out = None)
function inner 
inner(a, b)
function tensordot 
tensordot(a, b, axes)
@overload 
tensordot(a, b, axes: Literal[int] = 2)
function kron 
kron(a, b)
function trace 
trace(x, offset: int = 0, dtype: type = NoneType)
function tensorsolve 
tensorsolve(a, b, axes = None)
function tensorinv 
tensorinv(a, ind: int = 2)
function norm 
norm(x, ord = None, axis = None, keepdims: Literal[bool] = False)
function pinv 
pinv(a, rcond = 1e-15, hermitian: bool = False)
function matrix_rank 
matrix_rank(A, tol = None, hermitian: bool = False)
function cond 
cond(x, p = None)
function matrix_transpose 
matrix_transpose(x)
class ndarray
@extend 
class ndarray[dtype, ndim]
Extends numpy.ndarray.ndarray · View complete class API →
Methods 2
dot 
dot(self, other)
trace 
trace(self, offset: int = 0, axis1: int = 0, axis2: int = 1, dtype: type = NoneType, out = None)
Special methods 1
__matmul__ 
__matmul__(self, other)