Showing 493 open source projects for "equations"

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  • 1
    MathJax

    MathJax

    Beautiful and accessible math in all browsers

    ... configurations and specialized software workflows. MathJax uses CSS with web fonts or SVG, instead of bitmap images or Flash, so equations scale with surrounding text at all zoom levels. MathJax is highly modular on input and output. Use MathML, TeX, and ASCIImath as input and produce HTML+CSS, SVG, or MathML as output. MathJax works with screenreaders & provides expression zoom and interactive exploration. You also can copy equations into Office, LaTeX, wikis, and other software.
    Downloads: 139 This Week
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  • 2
    Xournal++

    Xournal++

    A handwriting notetaking software with PDF annotation support

    ... by using page previews. Add images and create various shapes, from circles to splines to axis. Snap objects to rectangular grid or degrees of rotation. Create anything from differential equations to electrical circuits or the structural formula of molecules using our built-in LaTeX editor. Customize your toolbar to create a new layout, tailor-made for you.
    Downloads: 24 This Week
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  • 3
    bookdown

    bookdown

    Authoring Books and Technical Documents with R Markdown

    ... for languages other than R, including C/C++, Python, and SQL, etc. LaTeX equations, theorems, and proofs work for all output formats. Can be published to GitHub, bookdown.org, and any web servers. Integrated with the RStudio IDE. The easiest way to start a new Bookdown project is from within RStudio IDE. Go to File, New Project, New Directory, Book project using bookdown.
    Downloads: 5 This Week
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  • 4
    Jazzy

    Jazzy

    Soulful docs for Swift & Objective-C

    jazzy is a command-line utility that generates documentation for Swift or Objective-C. Instead of parsing your source files, jazzy hooks into Clang and SourceKit to use the AST representation of your code and its comments for more accurate results. The output matches the look and feel of Apple’s official reference documentation, post WWDC 2014. Jazzy can also generate documentation from compiled Swift modules using their symbol graph instead of source code. You need development tools to...
    Downloads: 6 This Week
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  • 5
    DifferentialEquations.jl

    DifferentialEquations.jl

    Multi-language suite for high-performance solvers of equations

    This is a suite for numerically solving differential equations written in Julia and available for use in Julia, Python, and R. The purpose of this package is to supply efficient Julia implementations of solvers for various differential equations. The well-optimized DifferentialEquations solvers benchmark as some of the fastest implementations, using classic algorithms and ones from recent research which routinely outperform the “standard” C/Fortran methods, and include algorithms optimized...
    Downloads: 0 This Week
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  • 6
    SymPy

    SymPy

    A computer algebra system written in pure Python

    SymPy is an open source Python library for symbolic mathematics. Its goal is to become a full-featured computer algebra system (CAS) while maintaining the simplicity of its code. Written entirely in Python, SymPy is easy to use, comprehensible and easily extensible. It’s also very lightweight as it solely depends on mpmath, a pure Python library for arbitrary floating point arithmetic. SymPy has participated in every Google Summer of Code since 2007 and because of this has continuously...
    Downloads: 3 This Week
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  • 7
    Sundials.jl

    Sundials.jl

    Julia interface to Sundials, including a nonlinear solver

    This is a suite for numerically solving differential equations written in Julia and available for use in Julia, Python, and R. The purpose of this package is to supply efficient Julia implementations of solvers for various differential equations.
    Downloads: 0 This Week
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  • 8
    gophernotes

    gophernotes

    The Go kernel for Jupyter notebooks and nteract

    gophernotes is a Go kernel for Jupyter notebooks and nteract. It lets you use Go interactively in a browser-based notebook or desktop app. Use gophernotes to create and share documents that contain live Go code, equations, visualizations and explanatory text. These notebooks, with the live Go code, can then be shared with others via email, Dropbox, GitHub and the Jupyter Notebook Viewer. Go forth and do data science, or anything else interesting, with Go notebooks! This project utilizes a Go...
    Downloads: 2 This Week
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  • 9
    OrdinaryDiffEq.jl

    OrdinaryDiffEq.jl

    High performance ordinary differential equation (ODE)

    This is a suite for numerically solving differential equations written in Julia and available for use in Julia, Python, and R. The purpose of this package is to supply efficient Julia implementations of solvers for various differential equations. The well-optimized DifferentialEquations solvers benchmark as some of the fastest implementations, using classic algorithms and ones from recent research that routinely outperform the “standard” C/Fortran methods, and include algorithms optimized...
    Downloads: 0 This Week
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  • 10
    ApproxFun.jl

    ApproxFun.jl

    Julia package for function approximation

    ApproxFun is a package for approximating functions. It is in a similar vein to the Matlab package Chebfun and the Mathematica package RHPackage. The ApproxFun Documentation contains detailed information, or read on for a brief overview of the package. The documentation contains examples of usage, such as solving ordinary and partial differential equations. The ApproxFun Examples repo contains many examples of using this package, in Jupyter notebooks and Julia scripts. Note
    Downloads: 1 This Week
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  • 11
    VoronoiFVM.jl

    VoronoiFVM.jl

    Solution of nonlinear multiphysics partial differential equations

    Solver for coupled nonlinear partial differential equations (elliptic-parabolic conservation laws) based on the Voronoi finite volume method. It uses automatic differentiation via ForwardDiff.jl and DiffResults.jl to evaluate user functions along with their jacobians and calculate derivatives of solutions with respect to their parameters.
    Downloads: 0 This Week
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  • 12
    LaTeXStrings.jl

    LaTeXStrings.jl

    convenient input and display of LaTeX equation strings for Julia

    This is a small package to make it easier to type LaTeX equations in string literals in the Julia language, written by Steven G. Johnson. With ordinary strings in Julia, to enter a string literal with embedded LaTeX equations you need to manually escape all backslashes and dollar signs: for example, $\alpha^2$ is written \$\\alpha^2\$. Also, even though IJulia is capable of displaying formatted LaTeX equations (via MathJax), an ordinary string will not exploit this.
    Downloads: 0 This Week
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  • 13
    HomotopyContinuation.jl

    HomotopyContinuation.jl

    A Julia package for solving systems of polynomials

    HomotopyContinuation.jl is a Julia package for solving systems of polynomial equations by numerical homotopy continuation. Many models in the sciences and engineering are expressed as sets of real solutions to systems of polynomial equations. We can optimize any objective whose gradient is an algebraic function using homotopy methods by computing all critical points of the objective function. An important special case is when the objective function is the euclidean distance to a given point...
    Downloads: 0 This Week
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  • 14
    DiffEqOperators.jl

    DiffEqOperators.jl

    Linear operators for discretizations of differential equations

    DiffEqOperators.jl is a package for finite difference discretization of partial differential equations. It allows building lazy operators for high order non-uniform finite differences in an arbitrary number of dimensions, including vector calculus operators. For the operators, both centered and upwind operators are provided, for domains of any dimension, arbitrarily spaced grids, and for any order of accuracy. The cases of 1, 2, and 3 dimensions with an evenly spaced grid are optimized...
    Downloads: 0 This Week
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  • 15
    ModelingToolkit.jl

    ModelingToolkit.jl

    Modeling framework for automatically parallelized scientific ML

    ... reduction of differential-algebraic equations, make it possible to solve equations that are impossible to solve with a purely numeric-based technique. ModelingToolkit.jl is a symbolic-numeric modeling package. Thus it combines some of the features from symbolic computing packages like SymPy or Mathematica with the ideas of equation-based modeling systems like the causal Simulink and the acausal Modelica.
    Downloads: 0 This Week
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  • 16
    DiffEqBayes.jl

    DiffEqBayes.jl

    Extension functionality which uses Stan.jl, DynamicHMC.jl

    This repository is a set of extension functionality for estimating the parameters of differential equations using Bayesian methods. It allows the choice of using CmdStan.jl, Turing.jl, DynamicHMC.jl and ApproxBayes.jl to perform a Bayesian estimation of a differential equation problem specified via the DifferentialEquations.jl interface.
    Downloads: 0 This Week
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  • 17
    FourierFlows.jl

    FourierFlows.jl

    Tools for building fast, hackable, pseudospectral equation solvers

    This software provides tools for partial differential equations on periodic domains using Fourier-based pseudospectral methods. A central intent of the software's design is also to provide a framework for writing new, fast solvers for new physical problems. The code is written in Julia.
    Downloads: 0 This Week
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  • 18
    DataDrivenDiffEq.jl

    DataDrivenDiffEq.jl

    Data driven modeling and automated discovery of dynamical systems

    DataDrivenDiffEq.jl is a package for finding systems of equations automatically from a dataset. The methods in this package take in data and return the model which generated the data. A known model is not required as input. These methods can estimate equation-free and equation-based models for discrete, continuous differential equations or direct mappings.
    Downloads: 0 This Week
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  • 19
    MethodOfLines.jl

    MethodOfLines.jl

    Automatic Finite Difference PDE solving with Julia SciML

    MethodOfLines.jl is a Julia package for automated finite difference discretization of symbolically defined PDEs in N dimensions. It uses symbolic expressions for systems of partial differential equations as defined with ModelingToolkit.jl, and Interval from DomainSets.jl to define the space(time) over which the simulation runs. This project is under active development, therefore the interface is subject to change. The docs will be updated to reflect any changes, please check back for current...
    Downloads: 0 This Week
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  • 20
    ReachabilityAnalysis.jl

    ReachabilityAnalysis.jl

    Compute reachable states of dynamical systems

    Reachability analysis is concerned with computing rigorous approximations of the set of states reachable by a dynamical system. In the scope of this package are systems modeled by continuous or hybrid dynamical systems, where the dynamics change with discrete events. Systems are modeled by ordinary differential equations (ODEs) or semi-discrete partial differential equations (PDEs), with uncertain initial states, uncertain parameters or non-deterministic inputs.
    Downloads: 0 This Week
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  • 21
    ProbNumDiffEq.jl

    ProbNumDiffEq.jl

    Probabilistic Numerical Differential Equation solvers via Bayesian fil

    ProbNumDiffEq.jl provides probabilistic numerical ODE solvers to the DifferentialEquations.jl ecosystem. The implemented ODE filters solve differential equations via Bayesian filtering and smoothing. The filters compute not just a single point estimate of the true solution, but a posterior distribution that contains an estimate of its numerical approximation error.
    Downloads: 0 This Week
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  • 22
    ImplicitDifferentiation.jl

    ImplicitDifferentiation.jl

    Automatic differentiation of implicit functions

    ImplicitDifferentiation.jl is a package for automatic differentiation of functions defined implicitly, i.e., forward mappings. Those for which automatic differentiation fails. Reasons can vary depending on your backend, but the most common include calls to external solvers, mutating operations or type restrictions. Those for which automatic differentiation is very slow. A common example is iterative procedures like fixed point equations or optimization algorithms.
    Downloads: 0 This Week
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  • 23
    PowerSimulationsDynamics.jl

    PowerSimulationsDynamics.jl

    Julia package to run Dynamic Power System simulations

    PowerSimulationsDynamics.jl is a Julia package for power system modeling and simulation of Power Systems dynamics.
    Downloads: 0 This Week
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  • 24
    SciMLBenchmarks.jl

    SciMLBenchmarks.jl

    Benchmarks for scientific machine learning (SciML) software

    SciMLBenchmarks.jl holds webpages, pdfs, and notebooks showing the benchmarks for the SciML Scientific Machine Learning Software ecosystem.
    Downloads: 0 This Week
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  • 25
    Latexify.jl

    Latexify.jl

    Convert julia objects to LaTeX equations, arrays or other environments

    This is a package for generating LaTeX maths from Julia objects. This package utilizes Julia's homoiconicity to convert expressions to LaTeX-formatted strings. Latexify.jl supplies functionalities for converting a range of different Julia objects.
    Downloads: 0 This Week
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