Search Results for "lapack"

* Fast C++ library for linear algebra (matrix maths) and scientific computing * Easy to use functions and syntax, deliberately similar to Matlab / Octave * Uses template meta-programming techniques to increase efficiency * Provides user-friendly wrappers for OpenBLAS, Intel MKL, LAPACK, ATLAS, ARPACK, SuperLU and FFTW libraries * Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. * Downloads: http://arma.sourceforge.net/download.html * Documentation: http://arma.sourceforge.net/docs.html * Bug reports: http://arma.sourceforge.net/faq.html * Git repo: https://gitlab.com/conradsnicta/armadillo-code

ATLAS (Automatically Tuned Linear Algebra Software) provides highly optimized Linear Algebra kernels for arbitrary cache-based architectures. ATLAS provides ANSI C and Fortran77 interfaces for the entire BLAS API, and a small portion of the LAPACK AP

MatLisp is a package for Common Lisp for handling matrices with real-valued or complex-valued elements. BLAS is used for elementary matrix operations and LAPACK is used for linear algebra routines.

CPPLapack is a c++ class wrapper for BLAS, LAPACK and PARDISO. Its special features are the followings. [1]User-friendly interface [2]Hi-speed matrix calculations using BLAS and LAPACK [3]Minimized number of copy times using Smart Temporary system

math lib for .NET. n-dim arrays, complex numbers, linear algebra, FFT, sorting, cells- and logical arrays as well as 3D plotting classes help developing algorithms on every platform supporting .NET. Sources from SVN, binaries: http://ilnumerics.net

CVM C++ Class Library encapsulates concepts of vector and square, band, symmetric and hermitian matrices in Euclidean space of real and complex numbers. It utilizes BLAS and LAPACK Fortran libraries. See http://cvmlib.com for binaries and more details.

...ivl includes a rich set of functions and operators, including operations for image processing. Seperate modules are also included. The module ivl-lina implements a linear algebra LAPACK wrapper. The module ivl-cv integrates OpenCV into ivl.

The MPACK project is providing a multiple precision arithmetic version of linear algebra package, similar to the BLAS and LAPACK.

The goal of the Fortran-to-Java project is to provide Java Application Programming Interfaces (APIs) to numerical libraries originally written in Fortran (particularly BLAS and LAPACK). The result of this work, JLAPACK, is distributed here.

FLENS (Flexible Library for Efficient Numerical Solutions) is a C++ library for scientific computing. It can be considered as a very convenient and --- at the same time --- extremely efficient interface for BLAS and LAPACK. But it is much more than this

A C++ matrix class for creating matrix objects and easily performing elementary operations between matrix objects including addition, subtraction, multiplication, transposition, and trace.

LAPACK++ is a library for high performance linear algebra computations. This version includes support for solving linear systems using LU, Cholesky, QR matrix factorizations, for real and complex matrices.

Math interface for various implementations of BLAS/LAPACK libraries

An automatic 2D Delaunay mesh generator and solver for Finite Element Analysis. Can solve 2D field problems (Poisson and Helmholtz Equations). Can use LAPACK/ARPACK solvers producing OpenGL/Postscript output. Uses C/GTK/GTKGLExt/MFC. Runs on Win32/Unix.

CPPScaLapack is a C++ class wrapper for PBLAS and ScaLAPACK with MPI. CPPScaLapack provides a user-friendly interface of high-speed parallel matrix calculation with BLAS and LAPACK techonologies for programers concerning with large-scale computing.

Linear algebra C++ library built upon a tensor class template that can be used to represent tensors of ranks 0 - scalaras, 1 - vectors, 2 - matrices, 3 - tensors of rank 3, etc. It also includes an interface to BLAS and LAPACK subroutines.

This library provides OCaml-interfaces to the BLAS- and LAPACK libraries.

This is a C++ Matrix class optimized for memory before speed. It enables handling huge matrices, and can link with LAPACK.