Search Results for "matrix algebra"
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27 programs for "matrix algebra" with 1 filter applied:
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Deploy Red Hat Ansible Automation Platform on Microsoft Azure for a strategic automation solution that allows you to orchestrate, govern and operationalize your Azure environment.
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Calmerry is beneficial for businesses of all sizes, particularly those in high-stress industries, organizations with remote teams, and HR departments seeking to improve employee well-being and productivity
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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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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... -
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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 64-bit operating systems. 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 absolutely no warranty. -
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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... -
Our robust pre-built connectors and our no-code, drag-and-drop interface makes it easy and fast to automatically sync vendors, invoices, and invoice payment data between Tipalti and your ERP or accounting software.
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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. We have moved to Github: https://github.com/JLinAlg/JLinAlg
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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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Tensor Algebra Compiler
The Tensor Algebra Compiler (taco) computes sparse tensor expressions
A fast and versatile compiler-based library for sparse linear and tensor algebra. TACO can be used to implement sparse linear and tensor algebra applications in a wide range of domains. TACO supports a wide range of sparse (and dense) linear/tensor algebra computations, from simpler ones like sparse matrix-vector multiplication to more complex ones like MTTKRP on higher-order sparse tensors. Tensors can be stored in a variety of storage formats, including commonly-used sparse matrix and tensor... -
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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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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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Whether natural disaster, cyberattack, or plain-old human error, data can disappear in the blink of an eye. ConnectWise BCDR (formerly Recover) delivers reliable and secure backup and disaster recovery backed by powerful automation and a 24/7 NOC to get your clients back to work in minutes, not days.
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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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Template Matrix/Vector Library for C++
A fast, intuitive linear algebra library for C++.
TMV is a comprehensive linear algebra library which uses operator overloading, views & delayed evaluation to simplify matrix and vector expressions in C++. It is well documented and can optionally call optimized BLAS/LAPACK for faster execution times -
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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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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... -
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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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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... -
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HASEM
Matrix c++ library solving any linear algebra problems
... 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. -
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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.
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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.
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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.
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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.
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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.
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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.
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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.