section 3 · Library functions 📚

178720 pages · page 531 of 894

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P (continued)

PDL::GSL::INTEG(3pm)PDL interface to numerical integration routines in GSL✨
PDL::GSL::INTERP(3pm)PDL interface to Interpolation routines in GSL✨
PDL::GSL::LINALG(3pm)PDL interface to linear algebra routines in GSL✨
PDL::GSL::MROOT(3pm)PDL interface to multidimensional root-finding routines in GSL✨
PDL::GSL::RNG(3pm)PDL interface to RNG and randist routines in GSL✨
PDL::GSLSF::AIRY(3pm)PDL interface to GSL Special Functions✨
PDL::GSLSF::BESSEL(3pm)PDL interface to GSL Special Functions✨
PDL::GSLSF::CLAUSEN(3pm)PDL interface to GSL Special Functions✨
PDL::GSLSF::COULOMB(3pm)PDL interface to GSL Special Functions✨
PDL::GSLSF::COUPLING(3pm)PDL interface to GSL Special Functions✨
PDL::GSLSF::DAWSON(3pm)PDL interface to GSL Special Functions✨
PDL::GSLSF::DEBYE(3pm)PDL interface to GSL Special Functions✨
PDL::GSLSF::DILOG(3pm)PDL interface to GSL Special Functions✨
PDL::GSLSF::ELEMENTARY(3pm)PDL interface to GSL Special Functions✨
PDL::GSLSF::ELLINT(3pm)PDL interface to GSL Special Functions✨
PDL::GSLSF::ELLJAC(3pm)PDL interface to GSL Special Functions✨
PDL::GSLSF::ERF(3pm)PDL interface to GSL Special Functions✨
PDL::GSLSF::EXP(3pm)PDL interface to GSL Special Functions✨
PDL::GSLSF::EXPINT(3pm)PDL interface to GSL Special Functions✨
PDL::GSLSF::FERMI_DIRAC(3pm)PDL interface to GSL Special Functions✨
PDL::GSLSF::GAMMA(3pm)PDL interface to GSL Special Functions✨
PDL::GSLSF::GEGENBAUER(3pm)PDL interface to GSL Special Functions✨
PDL::GSLSF::HYPERG(3pm)PDL interface to GSL Special Functions✨
PDL::GSLSF::LAGUERRE(3pm)PDL interface to GSL Special Functions✨
PDL::GSLSF::LEGENDRE(3pm)PDL interface to GSL Special Functions✨
PDL::GSLSF::LOG(3pm)PDL interface to GSL Special Functions✨
PDL::GSLSF::POLY(3pm)PDL interface to GSL Special Functions✨
PDL::GSLSF::POW_INT(3pm)PDL interface to GSL Special Functions✨
PDL::GSLSF::PSI(3pm)PDL interface to GSL Special Functions✨
PDL::GSLSF::SYNCHROTRON(3pm)PDL interface to GSL Special Functions✨
PDL::GSLSF::TRANSPORT(3pm)PDL interface to GSL Special Functions✨
PDL::GSLSF::TRIG(3pm)PDL interface to GSL Special Functions✨
PDL::GSLSF::ZETA(3pm)PDL interface to GSL Special Functions✨
PDL::Guide::Migration::MATLAB(3pm)A guide for MATLAB users.✨
PDL::Guide::Migration::NumPy(3pm)A Rosetta Stone for the NumPy professional✨
PDL::Guide::Migration::Scilab(3pm)A guide for Scilab users.✨
PDL::IFiles(3pm)Module for use by ExtUtils::Depends and Inline✨
PDL::Image2D(3pm)Miscellaneous 2D image processing functions✨
PDL::ImageND(3pm)useful image processing in N dimensions✨
PDL::ImageRGB(3pm)some utility functions for RGB image data handling✨
PDL::Index(3pm)an index of PDL documentation✨
PDL::Indexing(3pm)Introduction to indexing and slicing ndarrays.✨
PDL::Install::Files(3pm)Module for use by ExtUtils::Depends and Inline✨
PDL::InstallGuide(3pm)installation notes for PDL✨
PDL::Internals(3pm)description of some aspects of the current internals✨
PDL::IO(3pm)An overview of some modules in the PDL::IO namespace.✨
PDL::IO::Browser(3pm)2D data browser for PDL✨
PDL::IO::Dicom(3pm)a module for reading DICOM images.✨
PDL::IO::Dumper(3pm)data dumping for structs with PDLs✨
PDL::IO::ENVI(3pm)read ENVI data files into PDL✨
PDL::IO::FastRaw(3pm)A simple, fast and convenient io format for PerlDL.✨
PDL::IO::FITS(3pm)Simple FITS support for PDL✨
PDL::IO::FlexRaw(3pm)A flexible binary I/O format for PerlDL✨
PDL::IO::GD(3pm)Interface to the GD image library.✨
PDL::IO::HDF(3pm)A PDL interface to the HDF4 library.✨
PDL::IO::HDF5(3pm)PDL Interface to the HDF5 Data Format.✨
PDL::IO::HDF5::Dataset(3pm)PDL::IO::HDF5 Helper Object representing HDF5 datasets.✨
PDL::IO::HDF5::Group(3pm)PDL::IO::HDF5 Helper Object representing HDF5 groups.✨
PDL::IO::HDF5::tkview(3pm)View HDF5 files using perl/tk and PDL::IO::HDF5 modules✨
PDL::IO::HDF::SD(3pm)PDL interface to the HDF4 SD library.✨
PDL::IO::HDF::VS(3pm)An interface library for HDF4 files.✨
PDL::IO::IDL(3pm)I/O of IDL Save Files✨
PDL::IO::Matlab(3pm)Read and write Matlab format data files.✨
PDL::IO::Misc(3pm)misc IO routines for PDL✨
PDL::IO::Pic(3pm)image I/O for PDL✨
PDL::IO::Pnm(3pm)pnm format I/O for PDL✨
PDL::IO::STL(3pm)read/write 3D stereolithography files✨
PDL::IO::Storable(3pm)helper functions to make PDL usable with serialisation packages✨
PDL::Linear(3pm)linear filtering for PDL✨
PDL::LinearAlgebra(3pm)Linear Algebra utils for PDL✨
PDL::LinearAlgebra::Complex(3pm)PDL interface to the lapack linear algebra programming library (complex number)✨
PDL::LinearAlgebra::Real(3pm)PDL interface to the real lapack linear algebra programming library✨
PDL::LinearAlgebra::Special(3pm)Special matrices for PDL✨
PDL::LinearAlgebra::Trans(3pm)Linear Algebra based transcendental functions for PDL✨
PDL::Linfit(3pm)routines for fitting data with linear combinations of functions.✨
PDL::LinPred(3pm)Linear predictive filtering✨
PDL::Lite(3pm)minimum PDL module OO loader✨
PDL::LiteF(3pm)minimum PDL module function loader✨
PDL::LM(3pm)Levenberg-Marquardt fitting routine for PDL✨
PDL::Lvalue(3pm)declare PDL lvalue subs✨
PDL::Math(3pm)extended mathematical operations and special functions✨
PDL::MATLAB(3pm)A guide for MATLAB users.✨
PDL::Matrix(3pm)a convenience matrix class for column-major access✨
PDL::MatrixOps(3pm)Some Useful Matrix Operations✨
PDL::Minuit(3pm)a PDL interface to the Minuit library✨
PDL::Modules(3pm)A guide to PDL's module reference.✨
PDL::NetCDF(3pm)Object-oriented interface between NetCDF files and PDL objects.✨
PDL::NiceSlice(3pm)toward a nicer slicing syntax for PDL✨
PDL::Objects(3pm)Object-orientation, what it is and how to exploit it✨
PDL::Ops(3pm)Fundamental mathematical operators✨
PDL::Opt::Simplex(3pm)Simplex optimization routines✨
PDL::Options(3pm)simplifies option passing by hash in PerlDL✨
PDL::Overloads(3pm)subclass of Math::Complex with overload fallbacks✨
PDL::Parallel::threads(3pm)sharing PDL data between Perl threads✨
PDL::Parallel::threads::SIMD(3pm)launch and synchronize Single-Instruction-Multiple-Dataset code✨
PDL::ParallelCPU(3pm)Parallel processor multi-threading support in PDL✨
PDL::pdl2(3pm)Simple shell (version 2) for PDL✨
PDL::Perldl2::CleanErrors(3pm)filter out Moose cruft✨
PDL::Perldl2::NiceSlice(3pm)enable PDL NiceSlice syntax✨
PDL::Perldl2::PDLCommands(3pm)implement perldl aliases/escapes✨
PDL::Perldl2::Perldl2(3pm)profile for Perldl2 shell✨
PDL::Perldl2::Plugin::CleanErrors(3pm)filter out Moose cruft✨
PDL::Perldl2::Plugin::NiceSlice(3pm)enable PDL NiceSlice syntax✨
PDL::Perldl2::Plugin::PDLCommands(3pm)implement perldl aliases/escapes✨
PDL::Perldl2::Plugin::PrintControl(3pm)disable default print output✨
PDL::Perldl2::PrintControl(3pm)disable default print output✨
PDL::Perldl2::Profile::Perldl2(3pm)profile for Perldl2 shell✨
PDL::Philosophy(3pm)Why did we write PDL?✨
PDL::Polynomial(3pm)routines for fitting with polynomials✨
PDL::PP(3pm)✨
PDL::PP::Dump(3pm)dump pp_xxx calls to stdout✨
PDL::PP::Signature(3pm)Internal module to handle signatures✨
PDL::pptemplate(3pm)script to generate Makefile.PL and PP file skeleton✨
PDL::Prima(3pm)PDL demo for PDL::Graphics::Prima✨
PDL::Primitive(3pm)primitive operations for pdl✨
PDL::QuickStart(3pm)Quick introduction to PDL features.✨
PDL::Reduce(3pm)a "reduce" function for PDL✨
PDL::Scilab(3pm)A guide for Scilab users.✨
PDL::Slatec(3pm)PDL interface to the slatec numerical programming library✨
PDL::Slices(3pm)Indexing, slicing, and dicing✨
PDL::Sound(3pm)play PDL-generated sounds✨
PDL::State(3pm)A package to keep track of plotting commands✨
PDL::Stats(3pm)a collection of statistics modules in Perl Data Language, with a quick-start guide for non-PDL people.✨
PDL::Stats::Basic(3pm)basic statistics and related utilities such as standard deviation, Pearson correlation, and t-tests.✨
PDL::Stats::Distr(3pm)parameter estimations and probability density functions for distributions.✨
PDL::Stats::GLM(3pm)general and generalized linear modeling methods such as ANOVA, linear regression, PCA, and logistic regression.✨
PDL::Stats::Kmeans(3pm)classic k-means cluster analysis✨
PDL::Stats::TS(3pm)basic time series functions✨
PDL::Tips(3pm)Small tidbits of useful arcana. Programming tidbits and such.✨
PDL::Transform(3pm)Coordinate transforms, image warping, and N-D functions✨
PDL::Transform::Cartography(3pm)Useful cartographic projections✨
PDL::Transform::Color(3pm)Useful color system conversions for PDL✨
PDL::Transform::Proj4(3pm)PDL::Transform interface to the Proj4 projection library✨
PDL::Tutorials(3pm)A guide to PDL's tutorial documentation.✨
PDL::Type(3pm)Objects encapsulating datatypes for PDL transformations✨
PDL::Types(3pm)define fundamental PDL Datatypes✨
PDL::Ufunc(3pm)primitive ufunc operations for pdl✨
PDL::VectorValued(3pm)Utilities for vector-valued PDLs✨
PDL::VectorValued::Dev(3pm)development utilities for vector-valued PDLs✨
PDL::VectorValued::Utils(3pm)Low-level utilities for vector-valued PDLs✨
pdlabad(3)take as input the values computed by PDLAMCH for underflow and overflow, and returns the square root of each of these values if the log of LARGE is sufficiently large✨
pdlabrd(3)reduce the first NB rows and columns of a real general M-by-N distributed matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1) to upper or lower bidiagonal form by an orthogonal transformation Q' * A * P,✨
pdlacon(3)estimate the 1-norm of a square, real distributed matrix A✨
pdlaconsb(3)look for two consecutive small subdiagonal elements by seeing the effect of starting a double shift QR iteration given by H44, H33, & H43H34 and see if this would make a subdiagonal negligible✨
pdlacp2(3)copie all or part of a distributed matrix A to another distributed matrix B✨
pdlacp3(3)i an auxiliary routine that copies from a global parallel array into a local replicated array or vise versa✨
pdlacpy(3)copie all or part of a distributed matrix A to another distributed matrix B✨
pdlaevswp(3)move the eigenvectors (potentially unsorted) from where they are computed, to a ScaLAPACK standard block cyclic array, sorted so that the corresponding eigenvalues are sorted✨
pdlahqr(3)i an auxiliary routine used to find the Schur decomposition and or eigenvalues of a matrix already in Hessenberg form from cols ILO to IHI✨
pdlahrd(3)reduce the first NB columns of a real general N-by-(N-K+1) distributed matrix A(IA:IA+N-1,JA:JA+N-K) so that elements below the k- th subdiagonal are zero✨
pdlamch(3)determine double precision machine parameters✨
pdlange(3)return the value of the one norm, or the Frobenius norm,✨
pdlanhs(3)return the value of the one norm, or the Frobenius norm,✨
pdlansy(3)return the value of the one norm, or the Frobenius norm,✨
pdlantr(3)return the value of the one norm, or the Frobenius norm,✨
pdlapiv(3)applie either P (permutation matrix indicated by IPIV) or inv( P ) to a general M-by-N distributed matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1), resulting in row or column pivoting✨
pdlapv2(3)applie either P (permutation matrix indicated by IPIV) or inv( P ) to a M-by-N distributed matrix sub( A ) denoting A(IA:IA+M-1,JA:JA+N-1), resulting in row or column pivoting✨
pdlaqge(3)equilibrate a general M-by-N distributed matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1) using the row and scaling factors in the vectors R and C✨
pdlaqsy(3)equilibrate a symmetric distributed matrix sub( A ) = A(IA:IA+N-1,JA:JA+N-1) using the scaling factors in the vectors SR and SC✨
pdlared1d(3)redistribute a 1D array It assumes that the input array, BYCOL, is distributed across rows and that all process column contain the same copy of BYCOL✨
pdlared2d(3)redistribute a 1D array It assumes that the input array, BYROW, is distributed across columns and that all process rows contain the same copy of BYROW✨
pdlarf(3)applie a real elementary reflector Q (or Q**T) to a real M-by-N distributed matrix sub( C ) = C(IC:IC+M-1,JC:JC+N-1), from either the left or the right✨
pdlarfb(3)applie a real block reflector Q or its transpose Q**T to a real distributed M-by-N matrix sub( C ) = C(IC:IC+M-1,JC:JC+N-1)✨
pdlarfg(3)generate a real elementary reflector H of order n, such that H * sub( X ) = H * ( x(iax,jax) ) = ( alpha ), H' * H = I✨
pdlarft(3)form the triangular factor T of a real block reflector H of order n, which is defined as a product of k elementary reflectors✨
pdlarz(3)applie a real elementary reflector Q (or Q**T) to a real M-by-N distributed matrix sub( C ) = C(IC:IC+M-1,JC:JC+N-1), from either the left or the right✨
pdlarzb(3)applie a real block reflector Q or its transpose Q**T to a real distributed M-by-N matrix sub( C ) = C(IC:IC+M-1,JC:JC+N-1)✨
pdlarzt(3)form the triangular factor T of a real block reflector H of order > n, which is defined as a product of k elementary reflectors as returned by PDTZRZF✨
pdlascl(3)multiplie the M-by-N real distributed matrix sub( A ) denoting A(IA:IA+M-1,JA:JA+N-1) by the real scalar CTO/CFROM✨
pdlase2(3)initialize an M-by-N distributed matrix sub( A ) denoting A(IA:IA+M-1,JA:JA+N-1) to BETA on the diagonal and ALPHA on the offdiagonals✨
pdlaset(3)initialize an M-by-N distributed matrix sub( A ) denoting A(IA:IA+M-1,JA:JA+N-1) to BETA on the diagonal and ALPHA on the offdiagonals✨
pdlasmsub(3)look for a small subdiagonal element from the bottom of the matrix that it can safely set to zero✨
pdlassq(3)return the values scl and smsq such that ( scl**2 )*smsq = x( 1 )**2 +...+ x( n )**2 + ( scale**2 )*sumsq,✨
pdlaswp(3)perform a series of row or column interchanges on the distributed matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1)✨
pdlatra(3)compute the trace of an N-by-N distributed matrix sub( A ) denoting A( IA:IA+N-1, JA:JA+N-1 )✨
pdlatrd(3)reduce NB rows and columns of a real symmetric distributed matrix sub( A ) = A(IA:IA+N-1,JA:JA+N-1) to symmetric tridiagonal form by an orthogonal similarity transformation Q' * sub( A ) * Q,✨
pdlatrs(3)solve a triangular system✨
pdlatrz(3)reduce the M-by-N ( M<=N ) real upper trapezoidal matrix sub( A ) = [ A(IA:IA+M-1,JA:JA+M-1) A(IA:IA+M-1,JA+N-L:JA+N-1) ] to upper triangular form by means of orthogonal transformations✨
pdlauu2(3)compute the product U * U' or L' * L, where the triangular factor U or L is stored in the upper or lower triangular part of the matrix sub( A ) = A(IA:IA+N-1,JA:JA+N-1)✨
pdlauum(3)compute the product U * U' or L' * L, where the triangular factor U or L is stored in the upper or lower triangular part of the distributed matrix sub( A ) = A(IA:IA+N-1,JA:JA+N-1)✨
pdlawil(3)get the transform given by H44,H33, & H43H34 into V starting at row M✨
PDLdb(3pm)the perl debugger with PDL support✨
Pdlpp(3pm)Write PDL Subroutines inline with PDL::PP✨
pdorg2l(3)generate an M-by-N real distributed matrix Q denoting A(IA:IA+M-1,JA:JA+N-1) with orthonormal columns, which is defined as the last N columns of a product of K elementary reflectors of order M Q =…✨
pdorg2r(3)generate an M-by-N real distributed matrix Q denoting A(IA:IA+M-1,JA:JA+N-1) with orthonormal columns, which is defined as the first N columns of a product of K elementary reflectors of order M Q =…✨
pdorgl2(3)generate an M-by-N real distributed matrix Q denoting A(IA:IA+M-1,JA:JA+N-1) with orthonormal rows, which is defined as the first M rows of a product of K elementary reflectors of order N Q = H(k)✨
pdorglq(3)generate an M-by-N real distributed matrix Q denoting A(IA:IA+M-1,JA:JA+N-1) with orthonormal rows, which is defined as the first M rows of a product of K elementary reflectors of order N Q = H(k)✨
pdorgql(3)generate an M-by-N real distributed matrix Q denoting A(IA:IA+M-1,JA:JA+N-1) with orthonormal columns, which is defined as the last N columns of a product of K elementary reflectors of order M Q =…✨
pdorgqr(3)generate an M-by-N real distributed matrix Q denoting A(IA:IA+M-1,JA:JA+N-1) with orthonormal columns, which is defined as the first N columns of a product of K elementary reflectors of order M Q =…✨
pdorgr2(3)generate an M-by-N real distributed matrix Q denoting A(IA:IA+M-1,JA:JA+N-1) with orthonormal rows, which is defined as the last M rows of a product of K elementary reflectors of order N Q = H(1) H(2)✨
pdorgrq(3)generate an M-by-N real distributed matrix Q denoting A(IA:IA+M-1,JA:JA+N-1) with orthonormal rows, which is defined as the last M rows of a product of K elementary reflectors of order N Q = H(1) H(2)✨
pdorm2l(3)overwrite the general real M-by-N distributed matrix sub( C ) = C(IC:IC+M-1,JC:JC+N-1) with SIDE = 'L' SIDE = 'R' TRANS = 'N'✨
pdorm2r(3)overwrite the general real M-by-N distributed matrix sub( C ) = C(IC:IC+M-1,JC:JC+N-1) with SIDE = 'L' SIDE = 'R' TRANS = 'N'✨
pdormbr(3)VECT = 'Q', PDORMBR overwrites the general real distributed M- by-N matrix sub( C ) = C(IC:IC+M-1,JC:JC+N-1) with SIDE = 'L' SIDE = 'R' TRANS = 'N'✨
pdormhr(3)overwrite the general real M-by-N distributed matrix sub( C ) = C(IC:IC+M-1,JC:JC+N-1) with SIDE = 'L' SIDE = 'R' TRANS = 'N'✨
pdorml2(3)overwrite the general real M-by-N distributed matrix sub( C ) = C(IC:IC+M-1,JC:JC+N-1) with SIDE = 'L' SIDE = 'R' TRANS = 'N'✨
pdormlq(3)overwrite the general real M-by-N distributed matrix sub( C ) = C(IC:IC+M-1,JC:JC+N-1) with SIDE = 'L' SIDE = 'R' TRANS = 'N'✨
pdormql(3)overwrite the general real M-by-N distributed matrix sub( C ) = C(IC:IC+M-1,JC:JC+N-1) with SIDE = 'L' SIDE = 'R' TRANS = 'N'✨
pdormqr(3)overwrite the general real M-by-N distributed matrix sub( C ) = C(IC:IC+M-1,JC:JC+N-1) with SIDE = 'L' SIDE = 'R' TRANS = 'N'✨
pdormr2(3)overwrite the general real M-by-N distributed matrix sub( C ) = C(IC:IC+M-1,JC:JC+N-1) with SIDE = 'L' SIDE = 'R' TRANS = 'N'✨