Ports Search

Results 111120 of 792 for /math/.(0.003 seconds)
devel/Math_Fraction-0.4.1 (Score: 0.23073639)
Classes that represent and manipulate fractions
Classes that represent and manipulate fractions (x = a/b). The Math_FractionOp static class contains definitions for: - basic arithmetic operations - comparing fractions - greatest common divisor (gcd) and least common multiple (lcm) of two integers - simplifying (reducing) and getting the reciprocal of a fraction - converting a float to fraction.
math/ldouble-0.1 (Score: 0.21583912)
Long double math precision functions
Library of elementary mathematical functions, probability and elliptic integrals in 80-bit (x86) or 128-bit long double precision.
math/libmissing-20130815 (Score: 0.20783648)
Standard math functions missing from the FreeBSD libm
This is a collection of stopgap replacements for standard math functions missing from libm in various supported versions of FreeBSD. The functions are slower than the existing libm functions, but are more accurate than many naive replacements. Exceptions are largely ignored. N. Beebe's extended C version of the ELEFUNT package is used to provide regression tests for some of the real-valued functions.
math/emc2-2.16.d (Score: 0.20057696)
Graphical editor of two-dimensional mesh geometries
Emc2 is a portable, interactive, graphical editor of two-dimensional mesh geometries. It can create and modify geometries (as in CAD), and define line discretizations, subdomains, and reference numbers (to take into account boundary conditions and material properties). Grid and Delaunay-Voronoi meshes composed of triangles or quadrilaterals can be regularized, rotated, and modified via the addition, removal, or moving of vertices. It is suggested that users also install the math/bamg port.
math/eigen-3.2.9 (Score: 0.20001651)
Lightweight library for vector and matrix math
Eigen is a C++ template library for linear algebra (vectors, matrices, and related algorithms).
math/eigen-2.0.17 (Score: 0.20001651)
Lightweight library for vector and matrix math
Eigen 2 is a C++ template library for linear algebra (vectors, matrices, and related algorithms).
math/octave-forge-20160227 (Score: 0.20001651)
Octave-forge metaport for math/octave
The octave-forge package is the result of The GNU Octave Repositry project, which is intended to be a central location for custom scripts, functions and extensions for GNU Octave. contains the source for all the functions plus build and install scripts. This is the metaport.
math/sdpara-7.3.1 (Score: 0.20001651)
SDPARA parallel version of SDPA (math/sdpa)
The SDPARA (SemiDefinite Programming Algorithm PARAllel version) is a parallel version of the SDPA. C++ source codes of the SDPARA are available in this homepage. They form a stand-alone software package for solving SDPs in parallel with the help of MPI (Message Passing Interface) and ScaLAPACK (Scalable LAPACK). However callable libraries of the SDPARA, which could be used combinedly with other C++ programs, are not available. We assume that you know how to use the latest version of the SDPA and MPICH.
math/atlas-3.8.4 (Score: 0.19235788)
Automatically Tuned Linear Algebra Software (ATLAS)
The ATLAS (Automatically Tuned Linear Algebra Software) project is an ongoing research effort focusing on applying empirical techniques in order to provide portable performance. At present, it provides C and Fortran77 interfaces to a portable, efficient BLAS implementation, as well as enhanced versions of a few routines from LAPACK. To link with ATLAS shared libraries: Serial (thread-safe) Fortran77 BLAS: -lf77blas Multi-threaded Fortran77 BLAS: -lptf77blas Serial (thread-safe) C BLAS: -lcblas Multi-threaded C BLAS: -lptcblas ATLAS-enhanced LAPACK, serial (thread-safe) interface: -lalapack -lf77blas -lcblas ATLAS-enhanced LAPACK, multi-threaded interface: -lalapack -lptf77blas -lptcblas
math/spblas-1.02 (Score: 0.19235788)
NIST Sparse Basic Linear Algebra Subprograms (BLAS)
This is an ANSI C++ implementation of the complete ANSI C specification of Chapter 3 of the BLAS Technical Forum Standard. The distribution is quite small and it is meant as a starting point for developing an optimized and architecture-dependent version. (C++ was used, rather than C, as it has support for complex arithmetic and templates to facilitate to creation of various precision codes.) The library includes support for all four precision types (single, double precision, real, and complex) and Level 1, 2, and 3 operations.