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Showing 12 open source projects for "energy"
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JuMP
Modeling language for Mathematical Optimization
JuMP is a modeling language and collection of supporting packages for mathematical optimization in Julia. JuMP makes it easy to formulate and solve a range of problem classes, including linear programs, integer programs, conic programs, semidefinite programs, and constrained nonlinear programs. JuMP is used to solve large-scale inventory routing problems at Renault, schedule trains at Thales Inc., plan power grid expansion at PSR, and route school buses. -
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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... -
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Uranie
Uranie is CEA's uncertainty analysis platform, based on ROOT
Uranie is a sensitivity and uncertainty analysis plateform based on the ROOT framework (http://root.cern.ch) . It is developed at CEA, the French Atomic Energy Commission (http://www.cea.fr). It provides various tools for: - data analysis - sampling - statistical modeling - optimisation - sensitivity analysis - uncertainty analysis - running code on high performance computers - etc. Thanks to ROOT, it is easily scriptable in CINT (c++ like syntax) and Python. Is is available both for Unix and Windows platforms (a dedicated platform archive is available on request). ... -
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Book-Reviews-In-Mathematica
Partial Differential Equations, Complex Analysis, Mathematica, Farlow
Cliff* Notes, Mathematica Evaluatable "Partial Differential Equations for Scientists and Engineers", Farlow "Physics for Scientists and Engineers", Serway "A First Course in Complex Analysis", Beck "PDE", Asmar "PDE, An Introduction", Colton "Elementary Differential Equations", 7th, Rainville "Ordinary Differential Equations", Tenenbaum "Linear Algebra And It's Applications", Lay "Swokowski Calculus", 5th, Swokowski "Chemistry Concepts & Problems, A Self-Teaching Guide",... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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elastic-curvilinear
SBP-SAT finite difference code for anisotropic elasticity
SBP-SAT finite difference code for general anisotropic elasticity in complex geometries -
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R-package to perform analysis of landmark based geometric morphometrics. Installation instructions: https://github.com/zarquon42b/Morpho/blob/master/README.md
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CurvatureFilter
Curvature Filters are efficient solvers for Variational Models
...Please cite the following papers if you use a curvature filter in your work. Traditional solvers, such as gradient descent or Euler Lagrange Euqation, start at the total energy and use diffusion scheme to carry out the minimization. When the initial condition is the original image, the data fitting energy always increases while the regularization energy always reduces during the optimization. Thus, regularization energy must be the dominant part since the total energy has to decrease. Therefore, Curvature filters focus on minimizing the regularization term, whose minimizers are already known. ... -
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Mathpad
A Python based command line math utility.
Mathpad is a command line utility. It will later have a GUI, but not at this time. -
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Quasi- Scientific Calculator for symbian^3
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An application built onto the Open Table Explorer engine for the acquisition and analysis of home energy consumption and solar energy production.Moved to github as Open Table Explorer
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MathROOT is a tool for high-energy physicists to access the ROOT data analysis framework from within Mathematica
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The OptControlCentre (OCC) is an user-friendly software package for the optimization of dynamic systems in energy and chemical engineering. Optimization methods include SQP methods as well as a stochastic approach using Simulated Annealing.
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