This is the Linux app named DifferentialEquations.jl whose latest release can be downloaded as v7.17.0sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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微分方程.jl
商品描述
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 for high-precision and HPC applications. At the same time, it wraps the classic C/Fortran methods, making it easy to switch over to them whenever necessary. Solving differential equations with different methods from different languages and packages can be done by changing one line of code, allowing for easy benchmarking to ensure you are using the fastest method possible.
功能
- 离散方程（函数图、离散随机（Gillespie/Markov）模拟）
- 常微分方程 (ODE)
- 分裂和分区微分方程（辛积分器、IMEX 方法）
- 随机常微分方程（SODE 或 SDE）
- 随机微分代数方程（SDAE）
- 中性、延迟和代数延迟微分方程（NDDE、RDDE 和 DDAE）
程式语言
朱莉娅
分类
This is an application that can also be fetched from https://sourceforge.net/projects/differentialequations.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
