| bandwidth(a) |
bandwidth(a) [extrait de bandwidth.__doc__] |
| block_diag(*arrs) |
|
| cdf2rdf(w, v) |
|
| cho_factor(a, lower=False, overwrite_a=False, check_finite=True) |
|
| cho_solve(c_and_lower, b, overwrite_b=False, check_finite=True) |
Solve the linear equations A x = b, given the Cholesky factorization of A. [extrait de cho_solve.__doc__] |
| cho_solve_banded(cb_and_lower, b, overwrite_b=False, check_finite=True) |
|
| cholesky(a, lower=False, overwrite_a=False, check_finite=True) |
|
| cholesky_banded(ab, overwrite_ab=False, lower=False, check_finite=True) |
|
| circulant(c) |
|
| clarkson_woodruff_transform(input_matrix, sketch_size, rng=None) |
|
| companion(a) |
|
| convolution_matrix(a, n, mode='full') |
|
| coshm(A) |
|
| cosm(A) |
|
| cossin(X, p=None, q=None, separate=False, swap_sign=False, compute_u=True, compute_vh=True) |
|
| det(a, overwrite_a=False, check_finite=True) |
|
| dft(n, scale=None) |
|
| diagsvd(s, M, N) |
|
| eig(a, b=None, left=False, right=True, overwrite_a=False, overwrite_b=False, check_finite=True, homogeneous_eigvals=False) |
|
| eig_banded(a_band, lower=False, eigvals_only=False, overwrite_a_band=False, select='a', select_range=None, max_ev=0, check_finite=True) |
|
| eigh(a, b=None, *, lower=True, eigvals_only=False, overwrite_a=False, overwrite_b=False, type=1, check_finite=True, subset_by_index=None, subset_by_value=None, driver=None) |
|
| eigh_tridiagonal(d, e, eigvals_only=False, select='a', select_range=None, check_finite=True, tol=0.0, lapack_driver='auto') |
|
| eigvals(a, b=None, overwrite_a=False, check_finite=True, homogeneous_eigvals=False) |
|
| eigvals_banded(a_band, lower=False, overwrite_a_band=False, select='a', select_range=None, check_finite=True) |
|
| eigvalsh(a, b=None, *, lower=True, overwrite_a=False, overwrite_b=False, type=1, check_finite=True, subset_by_index=None, subset_by_value=None, driver=None) |
|
| eigvalsh_tridiagonal(d, e, select='a', select_range=None, check_finite=True, tol=0.0, lapack_driver='auto') |
|
| expm(A) |
Compute the matrix exponential of an array. [extrait de expm.__doc__] |
| expm_cond(A, check_finite=True) |
|
| expm_frechet(A, E, method=None, compute_expm=True, check_finite=True) |
|
| fiedler(a) |
Returns a symmetric Fiedler matrix [extrait de fiedler.__doc__] |
| fiedler_companion(a) |
Returns a Fiedler companion matrix [extrait de fiedler_companion.__doc__] |
| find_best_blas_type(arrays=(), dtype=None) |
Find best-matching BLAS/LAPACK type. [extrait de find_best_blas_type.__doc__] |
| fractional_matrix_power(A, t) |
|
| funm(A, func, disp=True) |
|
| get_blas_funcs(names, arrays=(), dtype=None, ilp64=False) |
Return available BLAS function objects from names. [extrait de get_blas_funcs.__doc__] |
| get_lapack_funcs(names, arrays=(), dtype=None, ilp64=False) |
Return available LAPACK function objects from names. [extrait de get_lapack_funcs.__doc__] |
| hadamard(n, dtype=<class 'int'>) |
|
| hankel(c, r=None) |
|
| helmert(n, full=False) |
|
| hessenberg(a, calc_q=False, overwrite_a=False, check_finite=True) |
|
| hilbert(n) |
|
| inv(a, overwrite_a=False, check_finite=True) |
|
| invhilbert(n, exact=False) |
|
| invpascal(n, kind='symmetric', exact=True) |
|
| ishermitian(a, atol=None, rtol=None) |
ishermitian(a, atol=None, rtol=None) [extrait de ishermitian.__doc__] |
| issymmetric(a, atol=None, rtol=None) |
issymmetric(a, atol=None, rtol=None) [extrait de issymmetric.__doc__] |
| khatri_rao(a, b) |
|
| kron(a, b) |
|
| ldl(A, lower=True, hermitian=True, overwrite_a=False, check_finite=True) |
Computes the LDLt or Bunch-Kaufman factorization of a symmetric/ [extrait de ldl.__doc__] |
| leslie(f, s) |
|
| logm(A, disp=True) |
|
| lstsq(a, b, cond=None, overwrite_a=False, overwrite_b=False, check_finite=True, lapack_driver=None) |
|
| lu(a, permute_l=False, overwrite_a=False, check_finite=True, p_indices=False) |
|
| lu_factor(a, overwrite_a=False, check_finite=True) |
|
| lu_solve(lu_and_piv, b, trans=0, overwrite_b=False, check_finite=True) |
Solve an equation system, a x = b, given the LU factorization of a [extrait de lu_solve.__doc__] |
| matmul_toeplitz(c_or_cr, x, check_finite=False, workers=None) |
Efficient Toeplitz Matrix-Matrix Multiplication using FFT [extrait de matmul_toeplitz.__doc__] |
| matrix_balance(A, permute=True, scale=True, separate=False, overwrite_a=False) |
|
| norm(a, ord=None, axis=None, keepdims=False, check_finite=True) |
|
| null_space(A, rcond=None, *, overwrite_a=False, check_finite=True, lapack_driver='gesdd') |
|
| ordqz(A, B, sort='lhp', output='real', overwrite_a=False, overwrite_b=False, check_finite=True) |
QZ decomposition for a pair of matrices with reordering. [extrait de ordqz.__doc__] |
| orth(A, rcond=None) |
|
| orthogonal_procrustes(A, B, check_finite=True) |
|
| pascal(n, kind='symmetric', exact=True) |
|
| pinv(a, *, atol=None, rtol=None, return_rank=False, check_finite=True) |
|
| pinvh(a, atol=None, rtol=None, lower=True, return_rank=False, check_finite=True) |
|
| polar(a, side='right') |
|
| qr(a, overwrite_a=False, lwork=None, mode='full', pivoting=False, check_finite=True) |
|
| qr_delete(Q, R, k, p=1, which='row', overwrite_qr=False, check_finite=True) |
qr_delete(Q, R, k, int p=1, which=u'row', overwrite_qr=False, check_finite=True) [extrait de qr_delete.__doc__] |
| qr_insert(Q, R, u, k, which='row', rcond=None, overwrite_qru=False, check_finite=True) |
qr_insert(Q, R, u, k, which=u'row', rcond=None, overwrite_qru=False, check_finite=True) [extrait de qr_insert.__doc__] |
| qr_multiply(a, c, mode='right', pivoting=False, conjugate=False, overwrite_a=False, overwrite_c=False) |
|
| qr_update(Q, R, u, v, overwrite_qruv=False, check_finite=True) |
qr_update(Q, R, u, v, overwrite_qruv=False, check_finite=True) [extrait de qr_update.__doc__] |
| qz(A, B, output='real', lwork=None, sort=None, overwrite_a=False, overwrite_b=False, check_finite=True) |
|
| rq(a, overwrite_a=False, lwork=None, mode='full', check_finite=True) |
|
| rsf2csf(T, Z, check_finite=True) |
|
| schur(a, output='real', lwork=None, overwrite_a=False, sort=None, check_finite=True) |
|
| signm(A, disp=True) |
|
| sinhm(A) |
|
| sinm(A) |
|
| solve(a, b, lower=False, overwrite_a=False, overwrite_b=False, check_finite=True, assume_a=None, transposed=False) |
|
| solve_banded(l_and_u, ab, b, overwrite_ab=False, overwrite_b=False, check_finite=True) |
|
| solve_circulant(c, b, singular='raise', tol=None, caxis=-1, baxis=0, outaxis=0) |
Solve C x = b for x, where C is a circulant matrix. [extrait de solve_circulant.__doc__] |
| solve_continuous_are(a, b, q, r, e=None, s=None, balanced=True) |
|
| solve_continuous_lyapunov(a, q) |
|
| solve_discrete_are(a, b, q, r, e=None, s=None, balanced=True) |
|
| solve_discrete_lyapunov(a, q, method=None) |
|
| solve_sylvester(a, b, q) |
|
| solve_toeplitz(c_or_cr, b, check_finite=True) |
Solve a Toeplitz system using Levinson Recursion [extrait de solve_toeplitz.__doc__] |
| solve_triangular(a, b, trans=0, lower=False, unit_diagonal=False, overwrite_b=False, check_finite=True) |
|
| solveh_banded(ab, b, overwrite_ab=False, overwrite_b=False, lower=False, check_finite=True) |
|
| sqrtm(A, disp=True, blocksize=64) |
|
| subspace_angles(A, B) |
|
| svd(a, full_matrices=True, compute_uv=True, overwrite_a=False, check_finite=True, lapack_driver='gesdd') |
|
| svdvals(a, overwrite_a=False, check_finite=True) |
|
| tanhm(A) |
|
| tanm(A) |
|
| test(label='fast', verbose=1, extra_argv=None, doctests=False, coverage=False, tests=None, parallel=None) |
|
| toeplitz(c, r=None) |
|
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