Search Results for "matrix algebra" - Page 2

ViennaCLBench provides a graphical user interface for collecting benchmark data for common OpenCL-accelerated linear algebra operations as implemented in the linear algebra library ViennaCL.

This program is fundamentally a short-sized version of my mathSuite program: https://sourceforge.net/projects/mathsuite/ It includes all the functionalities of MSCenv (mathSuite Calculus Environment), such as inline variables and functions (mainly thanks to ExprEval), which you can use to perform expensive complex computations and store their results into runtime variables. You can perform also every Linear Algebra Operations included in mathSuite with new optimizations.

The Meta Matrix Library is a modular designed collection of C libraries. It was developed to provide easy and consistent access to numerical linear algebra software for sparse and dense matrices.

A lightweight C++ and Python library for finance, statistics and linear algebra. Finance features include compound rate present/future value, annuity, various present/future value coefficients ... Statistics features include mean, median, variance, standard deviation, covariance, correlation, linear regression, probabilities and random variates of various distributions ... Linear algebra features include matrix arithmetic, inverse, determinant, rank, linear system solution, lu/qr decomposition...

SymbolicC++ is a general purpose computer algebra system embedded in the programming language C++. It is free software released under the terms of the GNU General Public License. SymbolicC++ is used by including a C++ header file or by linking against a library.

... desire method as default one. With over 200 member functions and over 40 none member functions HASEM is almost able to solve any linear algebra problems. HASEM support multidimensional as well, you can mix up your multidimensional matrix with other matrices with different size, and apply all operations on them as well.It's possible to save the computed matrix into files, and when required read it from files and load the data into matrices. It is also very easy to add your extension to HASEM.

Provides an interface to create/edit your matrix and converts it into your application's preferred format seamlessly. It can be used from hard-coding arrays into your programming projects to matrices in algebra software.

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.

Header defined, generic C++ Vector and Matrix classes for engineering, scientific, or mathematical needs. A more intuitive, lightweight substitute for the larger linear algebra libraries available.

Java library that implements linear algebra operations: matrix operations (addition, substraction, multiplication, transposing, determinant of matrix , inversion, rank of matrix); linear equations system solving.

BLAS (Basic Linear Algebra Subprograms) is used to perform operations such as vector and matrix multiplication. LAPACK is buit using BLAS. This project is a beginning of BLAS functions and procedures for OpenCL language on GPU.

A C++ Matrix/Vector Class supporting real & complex data for nearly all matrix algebra calculations. Optimized for double & std::complex<double>. Small and large matrices. Easy to use & get started. Plotting, fast inversion, FFT/IFFT, statistics, & more

The Life Cycle Assessment Spreadsheet allows you to calculate carbon footprints and other environmental impacts for given product systems. Use requires basic skills in LCA and matrix algebra, but rewards effort with professional analytical tools.

This is a C++ linear algebra library, with dynamic vectors and matrix.

Shows an application of linear algebra to warps and morphs. Let's you pick images to morph and shows the matrix math that it's built on in a fun and educational manner.

Just want vector and matrix algebra and not the entire numerical algorithm kitchen sink? Don't care about FORTRAN? This may be for you. This package is a small, well-tested C++ library that provides basic addition, multiplication, and inversion.

The Linear Algebra class library for Java provides a full set of tools to programmers who need linear algebra operations to use in their own projects. Currently the library supports elementary matrix operations.

JLAL is a linear algebra package for java, providing an easy to use object-oriented API. The library supports arithmetic operations, inversion, various matrix decompositions, solution of linear equations, and more.

Slate++ is a vector/matrix package for C++. Based on templates, Slate++ facilitates basic linear algebra (+, -, *, /, inverse, determinant, ...) on many data types (int, float, double, complex...). Simple to use and thoroughly documented.

Mathniac is a computer algebra system and a small, portable C++ library with symbolic math capabilities. Features: - Symbolic math with multivariable functions and expresions. - Symbolic derivation. - Matrix algebra, etc...

MatPy is a Python package for numerical linear algebra and plotting with a MatLab-like interface. It currently consists of wrappers around Numeric and Gnuplot packages, but eventually may be implemented directly in C/C++, or as interface to Octave.

Cross-platform C++ library of mathematical routines for handling matrix algebra, random numer generators, fourier transforms, finite element method solving.