Search Results for "matrix algebra" - Page 2
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Showing 61 open source projects for "matrix algebra"
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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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Open Cezeri Library
Effective Linear Algebra and Computer Vision Library with JAVA
OCL stands for Open Cezeri Library (yet another linear algebra and matrix library). This library provides rapid coding as matlab ease of use. To learn for library please try to use test examples at OpenCezeriLibrary\test\test. It is originally developed at el-cezeri laboratory of Siirt University, in order to establish generic framework of reusable components and software tools for machine vision, machine learning, AI and robotic applications. Currently, it holds following main concepts 1... -
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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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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... -
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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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CLinearAlgebra
Matrix Algebra Implementation in C for AMS 210, Stony Brook University
The goal is to implement objects in C (as per Axel-Tobias Schreiner's book Object Oriented Programming with ANSI-C), to provide a suite of matrix tools. Current development is focused on basic procedural/functional programming without objects in order to implement the basic algorithms of matrix algebra. Algorithms are at first to follow from straightforward mathematical definitions, rather than to achieve computational efficiency or numerical accuracy. Basically, I'm trying to learn how... -
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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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fastmath
fastmath is a matrix math Java JNI wrapper around ATLAS, LAPACK, etc.
fastmath provides real and complex linear algebra objects(matrices and vectors) which use Java JNI native byte buffers interfacing with ATLAS, LAPACK, etc, see http://math-atlas.sourceforge.net/ also a library for reading and writing of MATLAB files is included -
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SymbolicC++
An object oriented C++ library for computer algebra
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. -
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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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libnxter is a collection of robot utilities for lego mindstorms nxt robotics kit, written in NXC language, and currently implements: two wheel drive vehicle, odometer, motor control, sonar, integer matrix algebra, vectors, PID control and kalman filter.
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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.
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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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Java library that implements linear algebra operations: matrix operations (addition, substraction, multiplication, transposing, determinant of matrix , inversion, rank of matrix); linear equations system solving.
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SPACES is a C++ library for numerical linear algebra. Capabilities: Matrix Algebra, Reduced Row and Row Echelon Form, Transpose, Augment, Minor, LU Decomposition with Partial Pivoting, Fast Determinants , Inverses, Solutions to Linear Systems
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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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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
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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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