/dports/math/scilab/scilab-6.1.1/scilab/modules/linear_algebra/locales/ |
H A D | ja_JP.po | 381 # File: modules/linear_algebra/macros/eigs.sci, line: 163 436 # File: modules/linear_algebra/macros/eigs.sci, line: 291 437 # File: modules/linear_algebra/macros/eigs.sci, line: 751 443 # File: modules/linear_algebra/macros/eigs.sci, line: 294 444 # File: modules/linear_algebra/macros/eigs.sci, line: 754 533 # File: modules/linear_algebra/macros/eigs.sci, line: 435 534 # File: modules/linear_algebra/macros/eigs.sci, line: 895 542 # File: modules/linear_algebra/macros/eigs.sci, line: 506 543 # File: modules/linear_algebra/macros/eigs.sci, line: 512 544 # File: modules/linear_algebra/macros/eigs.sci, line: 519 [all …]
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H A D | zh_CN.po | 344 # File: modules/linear_algebra/macros/eigs.sci, line: 163 399 # File: modules/linear_algebra/macros/eigs.sci, line: 291 400 # File: modules/linear_algebra/macros/eigs.sci, line: 751 406 # File: modules/linear_algebra/macros/eigs.sci, line: 294 407 # File: modules/linear_algebra/macros/eigs.sci, line: 754 496 # File: modules/linear_algebra/macros/eigs.sci, line: 435 497 # File: modules/linear_algebra/macros/eigs.sci, line: 895 505 # File: modules/linear_algebra/macros/eigs.sci, line: 506 506 # File: modules/linear_algebra/macros/eigs.sci, line: 512 507 # File: modules/linear_algebra/macros/eigs.sci, line: 519 [all …]
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H A D | it_IT.po | 373 # File: modules/linear_algebra/macros/eigs.sci, line: 163 428 # File: modules/linear_algebra/macros/eigs.sci, line: 291 429 # File: modules/linear_algebra/macros/eigs.sci, line: 751 435 # File: modules/linear_algebra/macros/eigs.sci, line: 294 436 # File: modules/linear_algebra/macros/eigs.sci, line: 754 525 # File: modules/linear_algebra/macros/eigs.sci, line: 435 526 # File: modules/linear_algebra/macros/eigs.sci, line: 895 534 # File: modules/linear_algebra/macros/eigs.sci, line: 506 535 # File: modules/linear_algebra/macros/eigs.sci, line: 512 536 # File: modules/linear_algebra/macros/eigs.sci, line: 519 [all …]
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/dports/science/py-dipy/dipy-1.4.1/dipy/sims/ |
H A D | phantom.py | 75 eigs = np.zeros((3, 3)) 76 eigs[:, 0] = eig0 77 eigs[:, 1] = eig1 78 eigs[:, 2] = eig2 79 return eigs, R
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/dports/science/jdftx/jdftx-1.6.0/jdftx/electronic/ |
H A D | TetrahedralDOS.h | 48 …inline double& e(int iState, int iBand) { return eigs[iState + nStates*iBand]; } //!< access eigen… in e() 49 …inline const double& e(int iState, int iBand) const { return eigs[iState + nStates*iBand]; } //!< … in e() 79 std::vector<double> eigs; //flat array of eigenvalues (inner index state, outer index bands) variable
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/dports/science/py-phonopy/phonopy-2.11.0/test/phonon/ |
H A D | test_qpoints.py | 42 eigs = phonon.qpoints.eigenvalues[i] 44 np.testing.assert_allclose(dm_eigs, eigs) 45 np.testing.assert_allclose(freqs ** 2 * np.sign(freqs), eigs)
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/dports/science/apbs/apbs-pdb2pqr-apbs-1.5-102-g500c1473/apbs/externals/fetk/mclite/ |
H A D | goo.m | 41 eigs = eig(M); variable 42 xmin = min(eigs); 43 xmax = max(eigs);
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/dports/science/phonopy/phonopy-2.11.0/test/phonon/ |
H A D | test_qpoints.py | 42 eigs = phonon.qpoints.eigenvalues[i] 44 np.testing.assert_allclose(dm_eigs, eigs) 45 np.testing.assert_allclose(freqs ** 2 * np.sign(freqs), eigs)
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/dports/math/octave/octave-6.4.0/scripts/sparse/ |
H A D | svds.m | 41 ## @var{s} = eigs ([sparse(@var{m}, @var{m}), @var{A}; 46 ## The eigenvalues returned by @code{eigs} correspond to the singular values 60 ## to @code{eigs}. The possible fields of this structure are documented in 61 ## @code{eigs}. By default, @code{svds} sets the following three fields: 66 ## value is 1e-10. @code{eigs} is passed @code{@var{tol} / sqrt (2)}. 98 ## @seealso{svd, eigs} 168 ## Call to eigs is always a symmetric matrix by construction 190 [V, s, flag] = eigs ([sparse(m,m), b; b', sparse(n,n)], 194 s = eigs ([sparse(m,m), b; b', sparse(n,n)], b_k, b_sigma, b_opts); 206 ## the warning from eigs. We exclude the singular values which are [all …]
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/dports/math/eclib/eclib-20210318/progs/out_no_ntl/ |
H A D | moreap.out | 6 Output new eigs to file (1/0)? Output new eigs to screen (1/0)? Display newforms (1/0)? Attempt cur… 24 Form number 1 with eigs -2 -1 1 -2 -1 4 -2 0 -1 0 ...
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/dports/math/eclib/eclib-20210318/progs/out_ntl/ |
H A D | moreap.out | 6 Output new eigs to file (1/0)? Output new eigs to screen (1/0)? Display newforms (1/0)? Attempt cur… 24 Form number 1 with eigs -2 -1 1 -2 -1 4 -2 0 -1 0 ...
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/dports/math/scilab/scilab-6.1.1/scilab/modules/functions/tests/unit_tests/ |
H A D | get_function_path.tst | 22 assert_checkequal(get_function_path('eigs.sci'),[]); 26 assert_checkfalse(execstr("get_function_path(eigs)","errcatch")==0); 28 assert_checkerror("get_function_path(eigs)", refMsg);
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H A D | get_function_path.dia.ref | 18 assert_checkequal(get_function_path('eigs.sci'),[]); 22 assert_checkfalse(execstr("get_function_path(eigs)","errcatch")==0); 24 assert_checkerror("get_function_path(eigs)", refMsg);
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/dports/science/py-scipy/scipy-1.7.1/doc/source/tutorial/ |
H A D | arpack.rst | 21 high-level interfaces :func:`scipy.sparse.linalg.eigs` and 22 :func:`scipy.sparse.linalg.eigsh`. :func:`eigs` 49 * ``which = 'LR'`` : Eigenvalues with largest real part (``eigs``). 50 * ``which = 'SR'`` : Eigenvalues with smallest real part (``eigs``). 51 * ``which = 'LI'`` : Eigenvalues with largest imaginary part (``eigs``). 52 * ``which = 'SI'`` : Eigenvalues with smallest imaginary part (``eigs``). 95 >>> from scipy.sparse.linalg import eigs, eigsh 203 inverse. This is taken care of automatically by ``eigsh`` and `eigs`, 206 :func:`scipy.sparse.linalg.eigs` for details. 285 >>> evals_large, evecs_large = eigs(Dop, 4, which='LI') [all …]
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/dports/graphics/graphviz/graphviz-2.44.1/cmd/gvmap/ |
H A D | power.c | 18 void *A, int n, int K, int random_seed, int maxit, real tol, real **eigv, real **eigs){ in power_method() argument 68 if (!(*eigs)) *eigs = MALLOC(sizeof(real)*K); in power_method() 111 (*eigs)[k] = unorm; in power_method()
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/dports/science/PETSc/petsc-3.14.1/src/ksp/ksp/impls/cg/ |
H A D | cg.c | 98 PetscInt i,stored_max_it,eigs; in KSPSolve_CG() local 111 eigs = ksp->calc_sings; in KSPSolve_CG() 120 if (eigs) {e = cg->e; d = cg->d; e[0] = 0.0; } in KSPSolve_CG() 187 if (eigs) { in KSPSolve_CG() 206 if (eigs) d[i] = PetscSqrtReal(PetscAbsScalar(b))*e[i] + 1.0/a; in KSPSolve_CG() 226 if (eigs) cg->ned = ksp->its; in KSPSolve_CG() 258 PetscInt i,stored_max_it,eigs; in KSPSolve_CG_SingleReduction() local 271 eigs = ksp->calc_sings; in KSPSolve_CG_SingleReduction() 281 if (eigs) {e = cg->e; d = cg->d; e[0] = 0.0; } in KSPSolve_CG_SingleReduction() 352 if (eigs) { in KSPSolve_CG_SingleReduction() [all …]
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/dports/science/bagel/bagel-1.2.2/src/asd/orbital/ |
H A D | asd_orbopt.cc | 225 VectorB eigs(nactA_); in semi_canonical_orb() local 227 fockact->diagonalize(eigs); in semi_canonical_orb() 229 for (int i = 0; i < nactA_; ++i) cout << setw(12) << setprecision(6) << eigs[i]; in semi_canonical_orb() 251 VectorB eigs(nactB_); in semi_canonical_orb() local 253 fockact->diagonalize(eigs); in semi_canonical_orb() 255 for (int i = 0; i < nactB_; ++i) cout << setw(12) << setprecision(6) << eigs[i]; in semi_canonical_orb()
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/dports/devel/py-qutip/qutip-4.6.2/qutip/ |
H A D | metrics.py | 337 eigs = sp_eigs(product.data, 342 return np.sqrt(2.0 * np.maximum(0., (1.0 - np.real(np.sum(eigs))))) 429 eigs = U.eigenenergies() 430 eig_distances = np.abs(eigs[:, None] - eigs[None, :])
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/dports/science/nwchem/nwchem-7b21660b82ebd85ef659f6fba7e1e73433b0bd0a/src/nwpw/band/structure/ |
H A D | band_structure.F | 1431 real*8 eigs(idx,idy,idz,*) 1923 > eigs,neigs, 1927 real*8 eigs(idx,idy,idz,*) 2182 ecube(1) = eigs(ii, jj, kk, i) ! (000) 2183 ecube(2) = eigs(ishft, jj, kk, i) ! (001) 2184 ecube(3) = eigs(ii, jshft, kk, i) ! (010) 2185 ecube(4) = eigs(ishft, jshft, kk, i) ! (011) 2186 ecube(5) = eigs(ii, jj, kshft, i) ! (100) 2187 ecube(6) = eigs(ishft, jj, kshft, i) ! (101) 2188 ecube(7) = eigs( ii, jshft, kshft, i) ! (110) [all …]
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/dports/science/nwchem-data/nwchem-7.0.2-release/src/nwpw/band/structure/ |
H A D | band_structure.F | 1376 real*8 eigs(idx,idy,idz,*) 1868 > eigs,neigs, 1872 real*8 eigs(idx,idy,idz,*) 2127 ecube(1) = eigs(ii, jj, kk, i) ! (000) 2128 ecube(2) = eigs(ishft, jj, kk, i) ! (001) 2129 ecube(3) = eigs(ii, jshft, kk, i) ! (010) 2130 ecube(4) = eigs(ishft, jshft, kk, i) ! (011) 2131 ecube(5) = eigs(ii, jj, kshft, i) ! (100) 2132 ecube(6) = eigs(ishft, jj, kshft, i) ! (101) 2133 ecube(7) = eigs( ii, jshft, kshft, i) ! (110) [all …]
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/dports/science/madness/madness-ebb3fd7/src/apps/hf/ |
H A D | eigsolver.h | 56 …const std::vector<double>& eigs, const Function<double, NDIM>& rho, const int& iter, bool periodic… 239 EigSolver(World& world, std::vector<funcT> phis, std::vector<double> eigs, 246 EigSolver(World& world, std::vector<funcT> phis, std::vector<double> eigs, 289 const std::vector<double>& eigs() in eigs() function
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H A D | dft.h | 269 std::vector<double> eigs, ElectronicStructureParams params); 325 const std::vector<double>& eigs, const Function<double,NDIM>& rho, 344 const std::vector<double>& eigs() in eigs() function 346 return _solver->eigs(); in eigs()
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/dports/science/py-gpaw/gpaw-21.6.0/gpaw/test/xc/ |
H A D | test_qna_band.py | 27 eigs = calc.get_eigenvalues(kpt=0)[:24] 34 for eold, enew in zip(eigs, eigs_new):
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/dports/math/R/R-4.1.2/src/library/stats/R/ |
H A D | mlm.R | 323 eigs <- array(NA, c(nmodels, pp)) functionVar 328 eigs[i, ] <- Re(eigen(qr.coef(rss.qr, 333 "Pillai" = Pillai(eigs[i, ], df[i], df.res), 334 "Wilks" = Wilks (eigs[i, ], df[i], df.res), 336 "Roy" = Roy (eigs[i, ], df[i], df.res)) 540 eigs <- array(NA, c(nmodels, pp)) functionVar 548 eigs[i, ] <- Re(eigen(qr.coef(rss.qr, 554 "Pillai" = Pillai(eigs[i, ], 556 "Wilks" = Wilks(eigs[i, ], 558 "Hotelling-Lawley" = HL(eigs[i, ], [all …]
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/dports/math/libRmath/R-4.1.1/src/library/stats/R/ |
H A D | mlm.R | 323 eigs <- array(NA, c(nmodels, pp)) functionVar 328 eigs[i, ] <- Re(eigen(qr.coef(rss.qr, 333 "Pillai" = Pillai(eigs[i, ], df[i], df.res), 334 "Wilks" = Wilks (eigs[i, ], df[i], df.res), 336 "Roy" = Roy (eigs[i, ], df[i], df.res)) 540 eigs <- array(NA, c(nmodels, pp)) functionVar 548 eigs[i, ] <- Re(eigen(qr.coef(rss.qr, 554 "Pillai" = Pillai(eigs[i, ], 556 "Wilks" = Wilks(eigs[i, ], 558 "Hotelling-Lawley" = HL(eigs[i, ], [all …]
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