Search Results for "matrix algebra"
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Showing 43 open source projects for "matrix algebra"
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REDUCE
A Portable General-Purpose Computer Algebra System
REDUCE is an interactive system for general algebraic computations of interest to mathematicians, scientists and engineers. It can be used interactively for simple calculations but also provides a flexible and expressive user programming language. The development of the REDUCE computer algebra system was started in the 1960s by Anthony C. Hearn. Since then, many scientists from all over the world have contributed to its development. REDUCE has a long and distinguished place in the history... -
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CUTLASS
CUDA Templates for Linear Algebra Subroutines
CUTLASS is a collection of CUDA C++ template abstractions for implementing high-performance matrix-multiplication (GEMM) and related computations at all levels and scales within CUDA. It incorporates strategies for hierarchical decomposition and data movement similar to those used to implement cuBLAS and cuDNN. CUTLASS decomposes these "moving parts" into reusable, modular software components abstracted by C++ template classes. These thread-wide, warp-wide, block-wide, and device-wide... -
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C++ template matrix library primarily designed to work with the GNU gmp library to perform matrix operations on numbers of arbitrary precision. Works with rational numbers, and floats. Computes: Inverse, LDU factorization, Row echelon reduction, and more
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Armadillo
fast C++ library for linear algebra & scientific computing
* 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... -
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AtteStat
The package for statistical data analysis and applied mathematics
The high performance open source package for statistical data analysis and applied mathematics AtteStat is an add-in for all desktop versions of the Microsoft Excel spreadsheets for Windows. Both 32-bit and 64-bit in one package. The combination of the unsurpassed convenience of spreadsheets and the effective interception of Microsoft Excel exceptions (frontend) and the maximum speed of the C programming language (backend). Winner of contest Microsoft Office Extensions (PC Magazine RE) in... -
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JLinAlg is an open source and easy to use Java library for linear algebra. It can do calculations without rounding errors. Features include: basic matrix operations, algorithms for solving Linear Equation Systems, inverting matrices, computing the determinant and the eigenvalues of a matrix.
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Criterial
The package for statistical data analysis and applied mathematics
The high performance open source package for statistical data analysis Criterial is an add-in for all desktop versions of the LibreOffice Calc spreadsheets on any 64bit operating systems (UNIX, Linux, Windows). The combination of the unsurpassed convenience of spreadsheets as frontend and the maximum speed of the C programming language as backend. Contains user experience and the best ideas of projects AtteStat and StatAnt. Completely free. No donation required. Criterial comes with... -
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Bandicoot
fast C++ library for GPU linear algebra & scientific computing
* Fast GPU linear algebra library (matrix maths) for the C++ language, aiming towards a good balance between speed and ease of use * Provides high-level syntax and functionality deliberately similar to Matlab * Provides an API that is aiming to be compatible with Armadillo for easy transition between CPU and GPU linear algebra code * Useful for algorithm development directly in C++, or quick conversion of research code into production environments * Distributed under the permissive Apache 2.0... -
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glslmath
C++ header-only library that simulates GLSL math
GLSLmath provides C++ math operations as defined by GLSL. For example, it provides methods to easily setup viewing transformations and perspective projections. GLSLmath has been inspired by the glm and slmath libraries, which aim to mimic GLSL, but in contrast to those GLSLmath does not focus on a complete conforming implementation of GLSL. It rather aims to provide a convenient single header file that implements the most commonly used subset of GLSL so that it is easy to use for rapid... -
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Book-Reviews-In-Mathematica
Partial Differential Equations, Complex Analysis, Mathematica, Farlow
Cliff* Notes, Mathematica Evaluatable "Partial Differential Equations for Scientists and Engineers", Farlow "Physics for Scientists and Engineers", Serway "A First Course in Complex Analysis", Beck "PDE", Asmar "PDE, An Introduction", Colton "Elementary Differential Equations", 7th, Rainville "Ordinary Differential Equations", Tenenbaum "Linear Algebra And It's Applications", Lay "Swokowski Calculus", 5th, Swokowski "Chemistry Concepts & Problems, A Self-Teaching Guide", Houk "Openstax... -
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Kotlingrad
Shape-Safe Symbolic Differentiation with Algebraic Data Types
Kotlin∇ is a type-safe automatic differentiation framework written in Kotlin. It allows users to express differentiable programs with higher-dimensional data structures and operators. We attempt to restrict syntactically valid constructions to those which are algebraically valid and can be checked at compile-time. By enforcing these constraints in the type system, it eliminates certain classes of runtime errors that may occur during the execution of a differentiable program. Due to... -
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eMatrix
A C++ Matrix Library
eMatrix is a lightweight matrix library developed in C++. EMatrix is designed to help solve engineering problems requiring linear algebra. eMatrix is OS independent and is fairly portable. New features include inv(A) and det(A). -
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Ganja.js
Javascript Geometric Algebra Generator for Javascript, c++
Ganja.js is a Geometric Algebra code generator for javascript. It generates Clifford algebras and sub-algebras of any signature and implements operator overloading and algebraic constants. Mathematically, an algebra generated by ganja.js is a graded exterior (Grassmann) algebra (or one of its subalgebras) with a non-metric outer product, extended (Clifford) with geometric and contraction inner products, a Poincare duality operator and the main involutions and morphisms. Technically, ganja.js... -
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A symbolic framework for C++, Python and Octave implementing automatic differentiation by source code transformation in forward and reverse modes on sparse matrix-valued computational graphs.
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oj! Algorithms
Mathematics, linear algebra and optimisation
oj! Algorithms - ojAlgo - is Open Source Java code that has to do with mathematics, linear algebra and optimisation; particularly (but certainly not exclusively) suitable for the financial domain. -
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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.
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Gekko Timeseries Software
Timeseries handling, and solving of large-scale economic models
Gekko Timeseries Software is a free time-series oriented software package for timeseries handling, and solving and analyzing large-scale economic models. Since 2009, Gekko is being used by Danish ministeries, banks, interest groups and universities, for the simulation of economic and energy-related models. The software runs under Windows (.NET), and is open source (GNU GPL) -
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Universal Java Matrix Package
sparse and dense matrix, linear algebra, visualization, big data
The Universal Java Matrix Package (UJMP) is an open source Java library which provides sparse and dense matrix classes, as well as a large number of calculations for linear algebra such as matrix multiplication or matrix inverse. Operations such as mean, correlation, standard deviation, replacement of missing values or the calculation of mutual information are supported, too. The Universal Java Matrix Package provides various visualization methods, import and export filters for a large number... -
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ViennaCL
Linear algebra and solver library using CUDA, OpenCL, and OpenMP
ViennaCL provides high level C++ interfaces for linear algebra routines on CPUs and GPUs using CUDA, OpenCL, and OpenMP. The focus is on generic implementations of iterative solvers often used for large linear systems and simple integration into existing projects. -
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OmpBLAS
Implementation of BLAS specification using OpenMP
This C implementation of one of the most used algebra libraries in scientific applications makes use of OpenMP to take advantage of modern multithread CPUs, while it still keeps in mind the underlying idea in the BLAS specification which allow cache-friendly code. -
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Matrix Manipulator [Advanced]
Deals with Real Number System.
Targeted towards the mathematical society, dealing with Linear Algebra. Echelon, System of Linear Equations, Inverse and many fundamental matrix operations. The system is limited to produced 9x9 matrix. For better and clearer view, increase size of console window from Top left > Properties > Layout > Screen and Buffer size, set them to 100w, 30h Your update and feedback is important for me, to make the software grow for individuals of this field to facilitate by adding more operations... -
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ViennaCLBench
OpenCL linear algebra benchmark GUI for CPUs, GPUs, and MIC
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. -
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msp
mathSuite Speed & Matrix Stream Processor
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. -
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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.
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math toolkit
A C++ and Python library for finance, statistics and linear algebra.
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...