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Functions3,298 in github.com/Xrvitd/GCNO

↓ 1 callersFunctionbuild_recurse
src/PQP/Build.cpp:505
↓ 1 callersFunctionchisquaredistribution
Chi-square distribution Returns the area under the left hand tail (from 0 to x) of the Chi square probability density function with v degrees of free
src/Optimization/ALGLIB/specialfunctions.cpp:2595
↓ 1 callersFunctionchunkscount
This function is used to calculate number of chunks (including partial, non-complete chunks) in some set. It expects that ChunkSize>=1, TaskSize>=0. A
src/Optimization/ALGLIB/alglibinternal.cpp:2783
↓ 1 callersFunctioncmatrixgemmf
Fast kernel -- ALGLIB routine -- 19.01.2010 Bochkanov Sergey *************************************************************************/
src/Optimization/ALGLIB/alglibinternal.cpp:6024
↓ 1 callersFunctioncmatrixlusolvem
Dense solver for A*X=B with N*N complex A given by its LU decomposition, and N*M matrices X and B (multiple right sides). "Slow-but-feature-rich"
src/Optimization/ALGLIB/solvers.cpp:1556
↓ 1 callersFunctioncmatrixmixedsolvem
Dense solver. Same as RMatrixMixedSolveM(), but for complex matrices. Algorithm features: * automatic detection of degenerate cases * condition numbe
src/Optimization/ALGLIB/solvers.cpp:1851
↓ 1 callersFunctioncmatrixsolvem
Complex dense solver for A*X=B with N*N complex matrix A, N*M complex matrices X and B. "Slow-but-feature-rich" version which provides
src/Optimization/ALGLIB/solvers.cpp:1225
↓ 1 callersFunctioncompute_moment
src/PQP/Build.cpp:130
↓ 1 callersMethodconstrained_delaunay_triangulation_
include/BGAL/BaseShape/Polygon.h:112
↓ 1 callersFunctionconvc1d
1-dimensional complex convolution. For given A/B returns conv(A,B) (non-circular). Subroutine can automatically choose between three implementations:
src/Optimization/ALGLIB/fasttransforms.cpp:550
↓ 1 callersFunctionconvc1dcircular
1-dimensional circular complex convolution. For given S/R returns conv(S,R) (circular). Algorithm has linearithmic complexity for any M/N. IMPORTANT
src/Optimization/ALGLIB/fasttransforms.cpp:664
↓ 1 callersFunctionconvr1d
1-dimensional real convolution. Analogous to ConvC1D(), see ConvC1D() comments for more details. INPUT PARAMETERS A - array[0..M-1] - real f
src/Optimization/ALGLIB/fasttransforms.cpp:772
↓ 1 callersFunctionconvr1dcircular
1-dimensional circular real convolution. Analogous to ConvC1DCircular(), see ConvC1DCircular() comments for more details. INPUT PARAMETERS S -
src/Optimization/ALGLIB/fasttransforms.cpp:880
↓ 1 callersFunctioncorrelationtests_spearmantail5
Tail(S, 5) *************************************************************************/
src/Optimization/ALGLIB/statistics.cpp:10270
↓ 1 callersFunctioncorrelationtests_spearmantail6
Tail(S, 6) *************************************************************************/
src/Optimization/ALGLIB/statistics.cpp:10328
↓ 1 callersFunctioncorrelationtests_spearmantail7
Tail(S, 7) *************************************************************************/
src/Optimization/ALGLIB/statistics.cpp:10382
↓ 1 callersFunctioncorrelationtests_spearmantail8
Tail(S, 8) *************************************************************************/
src/Optimization/ALGLIB/statistics.cpp:10464
↓ 1 callersFunctioncorrelationtests_spearmantail9
Tail(S, 9) *************************************************************************/
src/Optimization/ALGLIB/statistics.cpp:10542
↓ 1 callersFunctioncovm
Covariance matrix ! COMMERCIAL EDITION OF ALGLIB: ! ! Commercial Edition of ALGLIB includes following important improvements ! of this functi
src/Optimization/ALGLIB/statistics.cpp:966
↓ 1 callersFunctiondirectdensesolvers_densesolverrfsmaxv2
Internal subroutine. Returns maximum count of RFS iterations as function of: 1. machine epsilon 2. task size. 3. norm-2 condition number -- ALGLIB
src/Optimization/ALGLIB/solvers.cpp:10083
↓ 1 callersFunctionellipticintegrale
Complete elliptic integral of the second kind Approximates the integral pi/2 - | | 2 E(m) = |
src/Optimization/ALGLIB/specialfunctions.cpp:962
↓ 1 callersFunctionellipticintegralkhighprecision
Complete elliptic integral of the first kind Approximates the integral pi/2 - | | | dt K(m)
src/Optimization/ALGLIB/specialfunctions.cpp:861
↓ 1 callersFunctionerrorfunctionc
Complementary error function 1 - erf(x) = inf. - 2 | | 2
src/Optimization/ALGLIB/specialfunctions.cpp:301
↓ 1 callersFunctioneternal_malloc
src/Optimization/ALGLIB/ap.cpp:830
↓ 1 callersMethodexecute_
src/Geodesic/AbstractMethod.cpp:15
↓ 1 callersFunctionfftr1dinv
1-dimensional real inverse FFT. Algorithm has O(N*logN) complexity for any N (composite or prime). INPUT PARAMETERS F - array[0..floor(N/2)]
src/Optimization/ALGLIB/fasttransforms.cpp:363
↓ 1 callersFunctionfhtr1d
1-dimensional Fast Hartley Transform. Algorithm has O(N*logN) complexity for any N (composite or prime). INPUT PARAMETERS A - array[0..N-1]
src/Optimization/ALGLIB/fasttransforms.cpp:463
↓ 1 callersFunctionfindprimitiverootandinverse
src/Optimization/ALGLIB/alglibinternal.cpp:11993
↓ 1 callersFunctionforce_hermitian_rec_diag_stat
* this function copies Hermitian transpose of lower part of * diagonal block A0 to its upper part Block is specified by offset and size. * * [
src/Optimization/ALGLIB/ap.cpp:3014
↓ 1 callersFunctionforce_hermitian_rec_off_stat
* this function copies Hermitian transpose of offdiagonal block BL to * its symmetric counterpart BU (see below). Block BL is specified by * offsets
src/Optimization/ALGLIB/ap.cpp:2968
↓ 1 callersFunctionforce_symmetric_rec_diag_stat
* this function copies lower part of diagonal block A0 to its upper part * Block is specified by offset and size. * * [ . ] * [
src/Optimization/ALGLIB/ap.cpp:2935
↓ 1 callersFunctionforce_symmetric_rec_off_stat
* this function copies offdiagonal block BL to its symmetric counterpart * BU (see below). Block BL is specified by offsets (offset0,offset1) * and
src/Optimization/ALGLIB/ap.cpp:2889
↓ 1 callersMethodforwarding_enabled
Controls whether events will be forwarded to listeners_. Set to false in death test child processes.
MAIN/nanoflann/tests/gtest-1.8.0/src/gtest.cc:3287
↓ 1 callersMethodfree_all
Frees all allocated memory chunks */
MAIN/nanoflann.hpp:659
↓ 1 callersMethodfree_all
Frees all allocated memory chunks */
MAIN/nanoflann/include/nanoflann.hpp:659
↓ 1 callersFunctionftbase_ffticltrec
Recurrent subroutine for a InternalComplexLinTranspose Write A^T to B, where: * A is m*n complex matrix stored in array A as pairs of real/image valu
src/Optimization/ALGLIB/alglibinternal.cpp:14854
↓ 1 callersFunctionftbase_ffttwcalc
Twiddle factors calculation -- ALGLIB -- Copyright 01.05.2009 by Bochkanov Sergey ************************************************************
src/Optimization/ALGLIB/alglibinternal.cpp:14657
↓ 1 callersFunctionftbase_ftapplycomplexcodeletfft
This subroutine applies complex codelet FFT to input/output array A. INPUT PARAMETERS: A - array, must be large enough for plan to wo
src/Optimization/ALGLIB/alglibinternal.cpp:13346
↓ 1 callersFunctionftbase_ftapplycomplexcodelettwfft
This subroutine applies complex "integrated" codelet FFT to input/output array A. "Integrated" codelet differs from "normal" one in following ways:
src/Optimization/ALGLIB/alglibinternal.cpp:13662
↓ 1 callersFunctionftbase_ftapplycomplexreffft
This subroutine applies complex reference FFT to input/output array A. VERY SLOW OPERATION, do not use it in real life plans :) INPUT PARAMETERS:
src/Optimization/ALGLIB/alglibinternal.cpp:13287
↓ 1 callersFunctionftbase_ftbluesteinsfft
This subroutine applies complex Bluestein's FFT to input/output array A. INPUT PARAMETERS: Plan - transformation plan A -
src/Optimization/ALGLIB/alglibinternal.cpp:14252
↓ 1 callersFunctionftbase_ftcomplexfftplanrec
Recurrent function called by FTComplexFFTPlan() and other functions. It recursively builds transformation plan INPUT PARAMETERS: N -
src/Optimization/ALGLIB/alglibinternal.cpp:12624
↓ 1 callersFunctionftbase_ftdeterminespacerequirements
This function returns EXACT estimate of the space requirements for N-point FFT. Internals of this function are highly dependent on details of differen
src/Optimization/ALGLIB/alglibinternal.cpp:12535
↓ 1 callersFunctionftbase_ftprecomputeradersfft
This subroutine precomputes data for complex Rader's FFT and writes them to array PrecR[] at specified offset. It is responsibility of the caller
src/Optimization/ALGLIB/alglibinternal.cpp:14368
↓ 1 callersFunctionftbase_ftradersfft
This subroutine applies complex Rader's FFT to input/output array A. INPUT PARAMETERS: A - array, must be large enough for plan to wo
src/Optimization/ALGLIB/alglibinternal.cpp:14425
↓ 1 callersFunctionftbase_internalcomplexlintranspose
Linear transpose: transpose complex matrix stored in 1-dimensional array -- ALGLIB -- Copyright 01.05.2009 by Bochkanov Sergey ***************
src/Optimization/ALGLIB/alglibinternal.cpp:14830
↓ 1 callersFunctiongenerateRandomPointCloud
MAIN/nanoflann/perf-tests/flann/test_flann.cpp:66
↓ 1 callersFunctiongenerateRandomPointCloud
MAIN/nanoflann/perf-tests/nanoflann/test_leaf_max_size.cpp:126
↓ 1 callersFunctiongenerateRandomPointCloud
MAIN/nanoflann/perf-tests/nanoflann/test_nanoflann.cpp:92
↓ 1 callersFunctiongenerateRandomPointCloud
MAIN/nanoflann/examples/vector_of_vectors_example.cpp:43
↓ 1 callersFunctiongenerateRandomPointCloud
MAIN/nanoflann/examples/pointcloud_adaptor_example.cpp:91
↓ 1 callersFunctiongenerateRandomPointCloud
MAIN/nanoflann/examples/matrix_example.cpp:44
↓ 1 callersFunctionget
MAIN/nanoflann/tests/gtest-1.8.0/include/gtest/internal/gtest-tuple.h:937
↓ 1 callersMethodget_distances_
src/Geodesic/AbstractMethod.cpp:27
↓ 1 callersMethodget_parent_
src/Geodesic/Dijkstra/Dijkstra.cpp:35
↓ 1 callersFunctiongkqgenerategausslegendre
Returns Gauss and Gauss-Kronrod nodes/weights for Gauss-Legendre quadrature with N points. GKQLegendreCalc (calculation) or GKQLegendreTbl
src/Optimization/ALGLIB/integration.cpp:608
↓ 1 callersFunctiongkqlegendrecalc
Returns Gauss and Gauss-Kronrod nodes for quadrature with N points. Reduction to tridiagonal eigenproblem is used. INPUT PARAMETERS: N
src/Optimization/ALGLIB/integration.cpp:734
↓ 1 callersFunctiongkqlegendretbl
Returns Gauss and Gauss-Kronrod nodes for quadrature with N points using pre-calculated table. Nodes/weights were computed with accuracy up to
src/Optimization/ALGLIB/integration.cpp:786
↓ 1 callersMethodhas_edits
MAIN/nanoflann/tests/gtest-1.8.0/src/gtest.cc:1176
↓ 1 callersFunctionhpccores_hpcfinalizechunkedgradientx
Stub function. -- ALGLIB routine -- 14.06.2013 Bochkanov Sergey *************************************************************************
src/Optimization/ALGLIB/alglibinternal.cpp:11910
↓ 1 callersFunctionhpccores_hpcpreparechunkedgradientx
Stub function. -- ALGLIB routine -- 14.06.2013 Bochkanov Sergey *************************************************************************
src/Optimization/ALGLIB/alglibinternal.cpp:11889
↓ 1 callersFunctionhpdmatrixcholeskysolvem
Dense solver for A*X=B with N*N Hermitian positive definite matrix A given by its Cholesky decomposition and N*M complex matrices X and B. This is
src/Optimization/ALGLIB/solvers.cpp:3001
↓ 1 callersFunctionhpdmatrixsolvem
Dense solver for A*X=B, with N*N Hermitian positive definite matrix A and N*M complex matrices X and B. "Slow-but-feature-rich" version of the
src/Optimization/ALGLIB/solvers.cpp:2667
↓ 1 callersFunctionhqrndseed
HQRNDState initialization with seed values -- ALGLIB -- Copyright 02.12.2009 by Bochkanov Sergey *********************************************
src/Optimization/ALGLIB/alglibmisc.cpp:2770
↓ 1 callersFunctioni4_max
src/Integral/Tetrahedron_arbq_rule.cpp:144
↓ 1 callersFunctioni4_min
src/Integral/Tetrahedron_arbq_rule.cpp:185
↓ 1 callersFunctioni4_modp
src/Integral/Tetrahedron_arbq_rule.cpp:226
↓ 1 callersFunctionibetaf_incompletebetafe
Continued fraction expansion #1 for incomplete beta integral Cephes Math Library, Release 2.8: June, 2000 Copyright 1984, 1995, 2000 by Stephen L. M
src/Optimization/ALGLIB/specialfunctions.cpp:7449
↓ 1 callersFunctionibetaf_incompletebetafe2
Continued fraction expansion #2 for incomplete beta integral Cephes Math Library, Release 2.8: June, 2000 Copyright 1984, 1995, 2000 by Stephen L. M
src/Optimization/ALGLIB/specialfunctions.cpp:7553
↓ 1 callersFunctionidivup
This function returns (A div B) rounded up; it expects that A>0, B>0, but does not check it. *********************************************************
src/Optimization/ALGLIB/alglibinternal.cpp:2092
↓ 1 callersMethodin_domain
MAIN/PlaneCut.hpp:12
↓ 1 callersMethodin_domain
include/BGAL/BaseShape/Polygon.h:24
↓ 1 callersMethodinitialization_PQP_
src/Model/Model.cpp:170
↓ 1 callersFunctionintersectTriangle
src/PQP/TriDist.cpp:378
↓ 1 callersFunctioninvnormalcdf
Inverse of Normal CDF Returns the argument, x, for which the area under the Gaussian probability density function (integrated from minus infinity to
src/Optimization/ALGLIB/specialfunctions.cpp:500
↓ 1 callersFunctionis_hermitian_rec_diag_stat
* this function checks that diagonal block A0 is Hermitian. * Block A0 is specified by its offset and size. * * [ . ] * [ A0
src/Optimization/ALGLIB/ap.cpp:2829
↓ 1 callersFunctionis_hermitian_rec_off_stat
* this function checks difference between offdiagonal blocks BL and BU * (see below). Block BL is specified by offsets (offset0,offset1) and * size
src/Optimization/ALGLIB/ap.cpp:2764
↓ 1 callersMethodis_nan
Returns true iff this is NAN (not a number).
MAIN/nanoflann/tests/gtest-1.8.0/include/gtest/internal/gtest-internal.h:328
↓ 1 callersMethodis_same
MAIN/MyRPD_rnn.hpp:70
↓ 1 callersFunctionis_symmetric_rec_diag_stat
* this function checks that diagonal block A0 is symmetric. * Block A0 is specified by its offset and size. * * [ . ] * [ A0
src/Optimization/ALGLIB/ap.cpp:2707
↓ 1 callersFunctionis_symmetric_rec_off_stat
* this function checks difference between offdiagonal blocks BL and BU * (see below). Block BL is specified by offsets (offset0,offset1) and * size
src/Optimization/ALGLIB/ap.cpp:2643
↓ 1 callersFunctionivectorresize
Resizes X and: * preserves old contents of X * fills new elements by zeros -- ALGLIB -- Copyright 20.03.2009 by Bochkanov Sergey *************
src/Optimization/ALGLIB/alglibinternal.cpp:1185
↓ 1 callersFunctionjarquebera_jarqueberaapprox
src/Optimization/ALGLIB/statistics.cpp:15314
↓ 1 callersFunctionjarquebera_jarqueberastatistic
src/Optimization/ALGLIB/statistics.cpp:15243
↓ 1 callersFunctionjarquebera_jbtbl10
src/Optimization/ALGLIB/statistics.cpp:15860
↓ 1 callersFunctionjarquebera_jbtbl11
src/Optimization/ALGLIB/statistics.cpp:15922
↓ 1 callersFunctionjarquebera_jbtbl12
src/Optimization/ALGLIB/statistics.cpp:15984
↓ 1 callersFunctionjarquebera_jbtbl13
src/Optimization/ALGLIB/statistics.cpp:16053
↓ 1 callersFunctionjarquebera_jbtbl130
src/Optimization/ALGLIB/statistics.cpp:16836
↓ 1 callersFunctionjarquebera_jbtbl14
src/Optimization/ALGLIB/statistics.cpp:16122
↓ 1 callersFunctionjarquebera_jbtbl15
src/Optimization/ALGLIB/statistics.cpp:16191
↓ 1 callersFunctionjarquebera_jbtbl16
src/Optimization/ALGLIB/statistics.cpp:16254
↓ 1 callersFunctionjarquebera_jbtbl17
src/Optimization/ALGLIB/statistics.cpp:16317
↓ 1 callersFunctionjarquebera_jbtbl18
src/Optimization/ALGLIB/statistics.cpp:16384
↓ 1 callersFunctionjarquebera_jbtbl19
src/Optimization/ALGLIB/statistics.cpp:16451
↓ 1 callersFunctionjarquebera_jbtbl30
src/Optimization/ALGLIB/statistics.cpp:16591
↓ 1 callersFunctionjarquebera_jbtbl301
src/Optimization/ALGLIB/statistics.cpp:16946
↓ 1 callersFunctionjarquebera_jbtbl5
src/Optimization/ALGLIB/statistics.cpp:15540
↓ 1 callersFunctionjarquebera_jbtbl6
src/Optimization/ALGLIB/statistics.cpp:15588
↓ 1 callersFunctionjarquebera_jbtbl65
src/Optimization/ALGLIB/statistics.cpp:16722
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