Search Results for "execute"
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Showing 10 open source projects for "execute"
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Benchee
Easy and extensible benchmarking in Elixir
Library for easy and nice (micro) benchmarking in Elixir. Benchee allows you to compare the performance of different pieces of code at a glance. It is also versatile and extensible, relying only on functions. There are also a bunch of plugins to draw pretty graphs and more! Benchee runs each of your functions for a given amount of time after an initial warmup, it then measures their run time and optionally memory consumption. It then shows different statistical values like average, standard... -
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DimensionalAnalysis
Performs dimensional analysis from cells in a spreadsheet.
The Dimensional Analysis tool is meant to be used with spreadsheets containing variable definitions and formulas with physical units. It will execute the definitions and the formulas; and calculate the resulting units. The spreadsheet must follow a standard for the variables and the formulas. The general convention is to put variable names, values & formulas, and units in three columns. Make sure the names match the contents of the name cells. Use the names in the formulas, not the cell addresses. ... -
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MOEA Framework
A Free and Open Source Java Framework for Multiobjective Optimization
...A number of algorithms are provided out-of-the-box, including NSGA-II, NSGA-III, ε-MOEA, GDE3 and MOEA/D. In addition, the MOEA Framework provides the tools necessary to rapidly design, develop, execute and statistically test optimization algorithms. -
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RPy is a very simple, yet robust, Python interface to the R Programming Language. It can manage all kinds of R objects and can execute arbitrary R functions (including the graphic functions). RPy has been superseded by the RPy2 project: https://rpy2.github.io/
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Large Number Arithmetic
Addition, Subtraction & Multiplication for large integral numbers
This software executes addition, subtraction & multiplication for large integral numbers. You have the option to execute the program using as many numbers as you wish. The numbers can be as large as you wish ... the only restictrion is your computer's RAM space. -
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mathSuite
Powerful Calculus Environment and Matrices Handling Engine
...Also it gives you a very powerful and fast Calculus Environment which let you handle easily interchangeable variable lists, matrices, LOGS and Settings Layouts with optimized Items Lists Managing Engine. You'll also be able to execute your own scriptfiles with a basic math-oriented beta script language. Some feature regarding Matrices and Linear Algebra Operations are LU-Factorization, SVD Decomposition, Rank Calculator, Ill Condition Checking and more... There are also a very powerful Linear System Solver and Basic PRELoaded Functions Integrator Engine. -
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Ntccrt is an interpreter for the Non-deterministic Timed Concurrent Constraint (ntcc) calculus and its probabilistic extension (pntcc). It allows to execute models either as a stand-alone program, as a patch in OpenMusic or as an plugin in Max/MSP or PD
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http://ewi.utwente.nl/~biorange/rshell - The RShell project is a plugin for the Taverna workflow system. It enables one to execute R scripts within the Taverna workflow system. The RShell processor is built on the RServe project. For more info:
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MathBench
A Python IDE optimized for scripting and easy access to documentation.
Not a whole lab, just a small bench ! **Feel free to contact me via https://sourceforge.net/sendmessage.php?touser=1865508 if you want to take over this project** Mathbench is intended for the development of short scripts such as those daily used when doing research in applied mathematics and physics. Simple widgets and a strong plugin system make it useful and extensible. ANNOUCEMENT: Mathbench's purpose is still relevant and could also benefit from the latest improvements of... -
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Active Networking provides a framework in which executable code within data packets can execute upon intermediate network nodes. The goal of this research is to develop active networks that are capable of predicting their own behavior and to use this ca
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