Search Results for "c algorithms"
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Showing 16 open source projects for "c algorithms"
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GNSS-SDR
An open source software-defined GNSS receiver
An open source software-defined Global Navigation Satellite Systems (GNSS) receiver written in C++ and based on the GNU Radio framework. -
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Multivariate Forex Calculus Robot
MQL4, MQL5, C++ Expert Advisor, Forex Calculus Robot.
Multivariate Calculus Robot is designed to analyze and work on every available Currency Pair. Calculus Robot Implements algorithms that govern their work. These algorithms detect some sort of "Waves" in the Forex Market. In Robot's Default Configuration, the Average Trade length is twelve hours. Take Profit delta is equal to the Stop Loss delta in every trade. That kind of trade operation is symmetrical, which means that if the BUY operation was a loss and then reversed it, the SELL... -
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DeepMind Lab
A customizable 3D platform for agent-based AI research
DeepMind Lab is a 3D learning environment based on id Software's Quake III Arena via ioquake3 and other open source software. DeepMind Lab provides a suite of challenging 3D navigation and puzzle-solving tasks for learning agents. Its primary purpose is to act as a testbed for research in artificial intelligence, especially deep reinforcement learning. If you use DeepMind Lab in your research and would like to cite the DeepMind Lab environment, we suggest you cite the DeepMind Lab paper. To... -
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OpenRTDynamics
A framework for implementing real-time control systems
- - - T H I S P R O J E C T M O V E D T O G I T H U B - - - A framework for the implementation of advanced real-time control systems which uses signal/block-based schematics (like Simulink) extended by several features like state machines and online-exchangeable sub-simulations. Besides, this framework properly handles multiple threads, their communication, allows to synchronise control systems to external events (e.g. variable timers or incoming network packages) and provides... -
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ArgSemSAT
Solving argumentation problems in Dung's AFs
Deprecated hosting for this project. The new hosting is at https://github.com/federicocerutti/ArgSemSAT In particular, the source code for the publication: Federico Cerutti, Massimiliano Giacomin, Mauro Vallati, How we designed winning algorithms for abstract argumentation and which insight we attained, Artificial Intelligence, Volume 276, 2019, Pages 1-40, ISSN... -
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StochKit is an extensible stochastic simulation framework developed in C++ that aims to make stochastic simulation accessible to practicing biologists and chemists, while remaining open to extension via new stochastic and multiscale algorithms. StochKit is part of the StochSS project [http://www.stochss.org/], and we are relying on continued funding for sustained development. Please consider registering to show your support.
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7
Bat2015
Bachelor of Science (Informatik)
The toolkit glpk supports methods for mixed integer linear programming (MILP). These methods solve Capital Budgeting Problems (CBP). Unfortunately, glpk does not support any multithreading and there is no feature to distribute problems via network connections. Today, this is a pitiable sight, because modern computer systems are coupled by networks and support multi threading. We create a distributed system with Apache thrift and the C-API of glpk. Now, it is possible to use as many cores in... -
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Parallel_Algorithms
list of parallel Algorithms developed in Parallel Algo course
These are the implementation of various parallel algorithms like Symmemtric division for sum and maximum, Optimal sum using parallel algorithms, List ranking, Tree contraction, Matrix vector multiplication, Counting the number of vowels, consonants, digits, Matrix transpose, Block based matrix multiplication, the project folder has 4 implemenations of Matrix Multiplication algorithms, one simple muliplication, Transpose based multiplication, Strip based matrix mulitiplication -
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ivl
A C++ template library extending syntax towards mathematical notation
ivl is a full-header template C++98 math library with convenient yet powerful syntax. It extends classic C++ syntax towards mathematical notation while making use of the language's elements like classes, structs, operators and functions. Expression written using ivl are excessively optimized. In other words, ivl allows writing simpler and more expressive statements using math-like formulas while taking care of optimizing them. ivl features arrays, tuples and custom function-like... -
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GraphEA
A 3D Graphical Framework for Exploring Evolutionary Algorithms
Perfect to explore in the classroom: * Choose different problems, for different representations * Choose different genetic operators * Configure parameters * Visualization of the results on-line * Stop, pause or resume the evolutionary process * Explore how the genetic operators work * Save the results for future analysis -
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ACOptim
Ant Colony Optimizer
Simple POSIX multithread Ant Colony Optimizer framework currently for solving Vehicle Routing Problem. Supports UDP, file synchronizatoin between computers. -
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FixeEngine
A 3D rendering / entity engine
This engine is not an attemp to re-inventing the wheel. It is a more learning-oriented project than something intended to provide a wide set of features. The approach to the OpenGL in this engine is something very experimental born from my own thoughts and can be usefull in future. If you want to help for your portfolio just ask: the TODO list is very long :) -
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Este proyecto constituye una adaptacion y mejora del codigo ANFIS de dominio público de Roger Jang. / This project is an adaptation and improvement of the original public domain ANFIS code of Roger Jang.
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Seeds is a project which implements Data structure and Algorithms! We aim for speed, flexible and the easy to use!
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This is module for basic computation with floating point numbers. Numbers can have very wide mantissa for good precision, for realize "arbitrary-precision arithmetic". Module was adapt for BCB and MSVC compilers. Russian comments.
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DBNL
Dynamic Bayesian Network Library
DBNL is a cross-platform library that offers a variety of implementations of Bayesian networks and machine learning algorithms. It is a flexible library that covers all aspects of Bayesian netwoks from representation to reasoning and learning. It allows you to create simple static networks as well as complex temporal models with changing structure. It can handle highly non-linear dependencies between multivariate random variables. The particle based inference can answer arbitrary...
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