Search Results for "numerical"
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Showing 22 open source projects for "numerical"
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go-algorithms
Algorithms and data structures for golang
...The project is designed primarily as a learning resource to help developers understand how fundamental computer science concepts can be implemented idiomatically in Go. It includes a wide range of classic sorting, searching, and numerical algorithms alongside basic collection structures such as stacks, queues, linked lists, and binary trees. The repository is organized into clear directories by topic, making it easy for learners to explore specific categories of algorithms. Because the code focuses on clarity over heavy abstraction, it is especially useful for students and developers studying algorithmic fundamentals. ... -
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KACTL
KTH algorithm competition template library
KACTL (the KTH Algorithmic Contest Template Library) is an extensively curated and high-performance C++ algorithms library created by the competitive programming team at the Royal Institute of Technology (KTH) to serve as a trusted, battle-tested codebase for algorithmic contests, programming competitions, and general algorithm development. The repository aggregates dozens of concise implementations of essential data structures, numerical methods, graph algorithms, string processing tools, computational geometry routines, and optimization techniques, all designed with speed, correctness, and compactness in mind. Instead of reinventing algorithms on the fly during contests like ACM-ICPC or Codeforces rounds, competitors can import exactly the component they need — whether a segment tree with lazy propagation, a minimum cost flow solver, or a fast Fourier transform — and focus their energy on problem logic and strategy. -
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The Algorithms Python
All Algorithms implemented in Python
The Algorithms-Python project is a comprehensive collection of Python implementations for a wide range of algorithms and data structures. It serves primarily as an educational resource for learners and developers who want to understand how algorithms work under the hood. Each implementation is designed with clarity in mind, favoring readability and comprehension over performance optimization. The project covers various domains including mathematics, cryptography, machine learning, sorting,... -
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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:... -
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mhcfs2
engineering programmable calculator
MhcFS2 - engineering calculator. (v. 1.2 b141) (math expression calculator, scientific calculator, numerical, integral,integration, derivative, root, matrix, differencial, differentiation, equation, LSE,ODE ) -
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PLP_Solvers
Library of solvers for work in Science, Engineering & Education
Portable library of solvers for work in Science, Engineering & Education. Library Contents: High Precision Computation, Numerical Calculus, Complex Analysis, Geometry, Linear Algebra, Special Functions, Differential Equations, Transformations, Optimization & Interpolation, Statistics, Physics ... (12,538 functions in v23.06 package) Knowledge of any programming language is not required. Only Windows port is available. -
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Gym
Toolkit for developing and comparing reinforcement learning algorithms
...The gym library provides an easy-to-use suite of reinforcement learning tasks. Gym provides the environment, you provide the algorithm. You can write your agent using your existing numerical computation library, such as TensorFlow or Theano. It makes no assumptions about the structure of your agent, and is compatible with any numerical computation library, such as TensorFlow or Theano. The gym library is a collection of test problems — environments — that you can use to work out your reinforcement learning algorithms. ... -
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AlphaTensor
AI discovers faster, efficient algorithms for matrix multiplication
...The project demonstrates how reinforcement learning can be used to automatically discover efficient algorithms for matrix multiplication — a fundamental operation in computer science and numerical computation. The repository is organized into four main components: algorithms, benchmarking, nonequivalence, and recombination. These contain implementations of the discovered matrix multiplication algorithms, tools to benchmark their real-world performance, proofs of nonequivalence among thousands of solutions, and methods for decomposing larger problems into smaller factorizations. ... -
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PRMLT
Matlab code of machine learning algorithms in book PRML
...Many tricks for speeding up Matlab code are applied (e.g. vectorization, matrix factorization, etc.). Usually, functions in this package are orders faster than Matlab builtin ones (e.g. kmeans). Many tricks for numerical stability are applied, such as computing probability in logrithm domain, square root matrix update to enforce matrix symmetry. -
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PMCGPU
Parallel simulators for Membrane Computing on the GPU
Membrane Computing is a new research area (within Natural Computing) that aims to provide computing devices abstracted from the functioning and structure of living cells. These devices are called P systems. The objective of this project (PMCGPU) is to bring together all the researchers working on the development of parallel simulators for P systems, specially those using the GPU (e.g. CUDA, OpenCL, etc). Other parallel platforms are also welcome (multicore and manycore, FPGAs,... -
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...Also a performance test and its results on my computer are provided. The Performance test suggest to use 4 threads for parallelization. With this one can beat the implementation in "Numerical Recipes in C++" for large signals with more than 2^16 / 2^17 / 2^18 samples depending on the hardware and software.
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Lib Roman/Arabic for GCC (C++)
Library Roman/Arabic for GCC (C++)
This library performs the numerical conversion of Arabic numerical values into Roman numerals and Roman numeral values into Arabic numerals. This resource is developed with didactic and pedagogical objectives. Its commercial use may not be of extreme importance. The code of this library is published in the book: C++ Underground Programmer of the author Augusto Manzano (only portuguese). -
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kovacs.util (Java numerical classes)
!!! moved to jnum subproject under crush-software !!!
This project has be renamed to jnum and moved under the crush-software project. No further SVN commits here... -
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IterInt is a numerical integration package that implements iterated numerical integration methods. Iterated methods can be used to compute low dimensional (less than ten, for example) integration problems to get very accurate results.
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Numerical Systems Calculator
An arithmetic calculator for the most popular numerical systems.
Have you ever imagined not having to do math to convert the various number systems and still make arithmetic calculations with different numerical systems in the same expression? That's what makes this application. You can mix decimal, binary, octal and hexadecimal arithmetic operations using the symbols "+, -, *, /,^,". You can put "e" to use Napier's constant, put "pi" to use pi constant and put a "!" in the of numerical system form to factorization. So let's start doing the math in an instant with this application and save the rest of the time for more useful things of interest. -
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Numerical Systems Converter
Do you need a decimal, a binary, a octal and a hexadecimal converter?
With this application you can enter a numerical system and know instantly the conversions to others numerical systems. Numerical systems enabled: decimal, binary, octal and hexadecimal. -
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EGA
A novel and effictive GA algorithm to solve optimization problem
...The high efficiency of the proposed method results from the fitness estimation and the schema discovery of partial individuals in current population and. Specifically, the clustering method used in this paper is affinity propagation. The numerical experiments demonstrate that the proposed method performs promisingly for well-known benchmark problems in the term of optimization accuracy. -
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MMLIB(Morfa Matrix Library) is a set of C++ numerical routines providing features similar to Matlab/Octave.
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A simple program that solves linear equation systems. As of now only numerical coefficients are supported. The program is very simple and not suited for big matrices, since it uses laplace's method.
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NT2 is a multi-platform C++ library providing various template matrix classes that can be used with a Matlab(tm) like syntax whose performances are close to those obtained with hand written C code. NT2 comes with various numerical toolboxes.
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jMathematics is a Java based mathematics framework and library. It solves numerical and symbolic calculations. It is designed to be integrated in a wide range of other applications.
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