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/dports/science/py-scipy/scipy-1.7.1/scipy/linalg/
H A Ddecomp_svd.py13 def svd(a, full_matrices=True, compute_uv=True, overwrite_a=False, argument
124 compute_uv=compute_uv, full_matrices=full_matrices)
128 full_matrices=full_matrices, overwrite_a=overwrite_a)
321 u, s, vh = svd(A, full_matrices=False)
384 u, s, vh = svd(A, full_matrices=True)
H A Dflapack_gen.pyf.src307 integer intent(in),optional,check(full_matrices==0||full_matrices==1):: full_matrices = 1
312 …integer intent(hide),depend(compute_uv,minmn, full_matrices) :: u1 = (compute_uv?(full_matrices?m:…
313 …integer intent(hide),depend(compute_uv,minmn, full_matrices) :: vt0 = (compute_uv?(full_matrices?n…
335 integer intent(in),optional,check(full_matrices==0||full_matrices==1):: full_matrices = 1
366 integer intent(in),optional,check(full_matrices==0||full_matrices==1):: full_matrices = 1
371 …integer intent(hide),depend(compute_uv,minmn, full_matrices) :: u1 = (compute_uv?(full_matrices?m:…
395 integer intent(in),optional,check(full_matrices==0||full_matrices==1):: full_matrices = 1
427 integer intent(in),optional,check(full_matrices==0||full_matrices==1):: full_matrices = 1
453 integer intent(in),optional,check(full_matrices==0||full_matrices==1):: full_matrices = 1
483 integer intent(in),optional,check(full_matrices==0||full_matrices==1):: full_matrices = 1
[all …]
H A D_decomp_polar.py102 w, s, vh = svd(a, full_matrices=False)
/dports/math/py-jax/jax-0.2.9/jax/_src/lax/
H A Dlinalg.py174 q, r = qr_p.bind(x, full_matrices=full_matrices)
184 result = svd_p.bind(x, full_matrices=full_matrices, compute_uv=compute_uv)
1021 q, r = xla.apply_primitive(qr_p, operand, full_matrices=full_matrices)
1065 return qr_p.bind(x, full_matrices=full_matrices), (0, 0)
1078 elif not full_matrices:
1125 return xla.apply_primitive(svd_p, operand, full_matrices=full_matrices,
1133 c, operand, full_matrices=full_matrices, compute_uv=compute_uv)
1213 if full_matrices:
1230 c, operand, full_matrices=full_matrices, compute_uv=compute_uv)
1233 full_matrices=full_matrices,
[all …]
/dports/math/py-mpmath/mpmath-1.2.1/mpmath/tests/
H A Dtest_eigen_symmetric.py63 def run_svd_r(A, full_matrices = False, verbose = True): argument
71 print("full", full_matrices)
73 U, S0, V = mp.svd_r(A, full_matrices = full_matrices)
102 def run_svd_c(A, full_matrices = False, verbose = True): argument
110 print("full", full_matrices)
112 U, S0, V = mp.svd_c(A, full_matrices = full_matrices)
255 run_svd_r(A, full_matrices = full, verbose = False)
269 run_svd_c(A, full_matrices=full, verbose=False)
/dports/math/py-theano/Theano-1.0.5/theano/tensor/
H A Dnlinalg.py567 def __init__(self, full_matrices=True, compute_uv=True): argument
568 self.full_matrices = full_matrices
588 self.full_matrices,
592 s[0] = self._numop(x, self.full_matrices, self.compute_uv)
600 u_shape = (M, M) if self.full_matrices else (M, K)
601 vt_shape = (N, N) if self.full_matrices else (K, N)
607 def svd(a, full_matrices=1, compute_uv=1): argument
627 return SVD(full_matrices, compute_uv)(a)
/dports/math/py-jax/jax-0.2.9/jax/_src/numpy/
H A Dlinalg.py56 def svd(a, full_matrices=True, compute_uv=True): argument
58 return lax_linalg.svd(a, full_matrices, compute_uv)
105 S = svd(M, full_matrices=False, compute_uv=False)
303 u, s, v = svd(a, full_matrices=False)
434 full_matrices = False
436 full_matrices = True
440 q, r = lax_linalg.qr(a, full_matrices)
487 u, s, vt = svd(a, full_matrices=False)
/dports/math/py-autograd/autograd-1.3/autograd/numpy/
H A Dlinalg.py92 u, s, vt = svd(x_rolled, full_matrices=False)
134 def grad_svd(usv_, a, full_matrices=True, compute_uv=True): argument
142 usv = svd(a, full_matrices=False)
148 elif full_matrices:
/dports/biology/py-scikit-bio/scikit-bio-0.5.6/skbio/stats/ordination/
H A D_redundancy_analysis.py144 u, s, vt = svd(Y_hat, full_matrices=False)
168 u_res, s_res, vt_res = svd(Y_res, full_matrices=False)
H A D_canonical_correspondence_analysis.py150 u, s, vt = svd(Y_hat, full_matrices=False)
161 u_res, s_res, vt_res = svd(Y_res, full_matrices=False)
/dports/math/py-theano/Theano-1.0.5/theano/gpuarray/
H A Dlinalg.py659 params_type = ParamsType(full_matrices=bool_t, context=gpu_context_type)
661 def __init__(self, full_matrices=True, compute_uv=True): argument
662 self.full_matrices = full_matrices
706 u_shape = (M, M) if self.full_matrices else (M, K)
707 vt_shape = (N, N) if self.full_matrices else (K, N)
713 def gpu_svd(a, full_matrices=1, compute_uv=1): argument
733 out = GpuMagmaSVD(full_matrices, compute_uv)(a)
/dports/math/py-mpmath/mpmath-1.2.1/mpmath/matrices/
H A Deigen_symmetric.py1523 def svd_r(ctx, A, full_matrices = False, compute_uv = True, overwrite_a = False): argument
1600 if full_matrices and n < m:
1617 if full_matrices == False:
1628 def svd_c(ctx, A, full_matrices = False, compute_uv = True, overwrite_a = False): argument
1704 if full_matrices and n < m:
1721 if full_matrices == False:
1730 def svd(ctx, A, full_matrices = False, compute_uv = True, overwrite_a = False): argument
1805 …return ctx.svd_c(A, full_matrices = full_matrices, compute_uv = compute_uv, overwrite_a = overwrit…
1807 …return ctx.svd_r(A, full_matrices = full_matrices, compute_uv = compute_uv, overwrite_a = overwrit…
/dports/math/py-theano/Theano-1.0.5/theano/tensor/tests/
H A Dtest_nlinalg.py168 self.validate_shape((4, 4), full_matrices=True, compute_uv=True)
169 self.validate_shape((4, 4), full_matrices=False, compute_uv=True)
170 self.validate_shape((2, 4), full_matrices=False, compute_uv=True)
171 self.validate_shape((4, 2), full_matrices=False, compute_uv=True)
174 def validate_shape(self, shape, compute_uv=True, full_matrices=True): argument
177 outputs = self.op(A, full_matrices=full_matrices, compute_uv=compute_uv)
/dports/science/py-chainer/chainer-7.8.0/chainerx_cc/chainerx/routines/
H A Dlinalg.cc194 std::tuple<Array, Array, Array> Svd(const Array& a, bool full_matrices, bool compute_uv) { in Svd() argument
208 if (full_matrices) { in Svd()
226 a.device().backend().CallKernel<SvdKernel>(a, u, s, vt, full_matrices, compute_uv); in Svd()
238 full_matrices, in Svd()
240 if (full_matrices) { in Svd()
H A Dlinalg.h18 std::tuple<Array, Array, Array> Svd(const Array& a, bool full_matrices, bool compute_uv);
/dports/math/py-jax/jax-0.2.9/jax/_src/scipy/
H A Dlinalg.py63 def svd(a, full_matrices=True, compute_uv=True, overwrite_a=False, argument
67 return lax_linalg.svd(a, full_matrices, compute_uv)
147 full_matrices = True
149 full_matrices = False
153 q, r = lax_linalg.qr(a, full_matrices)
/dports/science/py-geometer/geometer-0.2.3/geometer/utils/
H A Dmath.py207 u, s, vh = np.linalg.svd(A, full_matrices=True)
236 u, s, vh = np.linalg.svd(A, full_matrices=False)
/dports/science/py-dipy/dipy-1.4.1/dipy/utils/
H A Darrfuncs.py61 u, s, v = np.linalg.svd(a, full_matrices=False)
/dports/science/py-chainer/chainer-7.8.0/chainerx/linalg/
H A D__init__.pyi20 full_matrices: bool=...,
/dports/science/py-chainer/chainer-7.8.0/chainerx_cc/chainerx/kernels/
H A Dlinalg.h32 …const Array& a, const Array& u, const Array& s, const Array& vt, bool full_matrices, bool compute_…
/dports/science/py-chainer/chainer-7.8.0/chainer/testing/
H A Dmatrix.py59 u, s, vh = numpy.linalg.svd(a, full_matrices=False)
/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/multivariate/factor_rotation/
H A D_analytic_rotation.py63 U, D, V = np.linalg.svd(ATH, full_matrices=False)
/dports/science/py-scipy/scipy-1.7.1/scipy/linalg/tests/
H A Dtest_decomp.py1046 for full_matrices in (True, False):
1047 u, s, vh = svd(a, full_matrices=full_matrices,
1058 for full_matrices in (True, False):
1059 u, s, vh = svd(a, full_matrices=full_matrices,
1070 for full_matrices in (True, False):
1071 u, s, vh = svd(a, full_matrices=full_matrices,
1081 for full_matrices in (True, False):
1082 u, s, vh = svd(a, full_matrices=full_matrices,
1097 u, s, vh = svd(a, full_matrices=full_matrices,
1109 u, s, vh = svd(a, full_matrices=full_matrices,
[all …]
/dports/textproc/py-gensim/gensim-4.0.1/gensim/test/
H A Dtest_lsimodel.py36 … = scipy.linalg.svd(matutils.corpus2dense(self.corpus, self.corpus.num_terms), full_matrices=False)
53 … = scipy.linalg.svd(matutils.corpus2dense(self.corpus, self.corpus.num_terms), full_matrices=False)
/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/sandbox/tools/
H A Dtools_pca.py132 U, s, v = np.linalg.svd(x.T, full_matrices=1)

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