- py-pde是一个Python软件包，用于求解偏微分方程（PDE）。 该程序包提供了可在其上定义标量和张量字段的网格的类。 关联的微分算子是使用numba编译的有限差分实现来计算的。 这允许定义，检查和求解典型的PDE，例如在物理动力系统研究中出现的PDE。 该软件包的重点在于易于使用，以探索PDE的行为。 但是，可以使用numba透明地编译核心计算，以提高速度。 安装 py-pde在pypi上可用，因此您应该可以通过pip安装它： pip install py-pde 为了使软件包的所有功能可用，您可能还需要安装以下可选软件包： pip install h5py pandas tqdm 此外，需要安装ffmpeg来创建电影。 或者，您可以使用频道通过安装py-pde ： conda install -c conda-forge py-pde 使用conda安装包括所

Morris W. Hirsch Stephen Smale Robert L. Devaney

Stochastic Differential Equations, An Introduction with Applications, Sixth Edition, Springer-Verlag Heidelberg New York 2003, by Bernt Øksendal. This is a not very clear version.

Spivak.M.全五卷.A.comprehensive.introduction.to.differential.geometry.(3ed.,.1999。解压后是djvu格式。第一卷讲微分流形

William E. Boyce and Richard C. DiPrima

本书以清晰，准确的语言书写，使学生能够理解，并减少了明确陈述的定理和定义的数量，包括对边值问题和偏微分方程的彻底处理。

Numerical Methods for Ordinary Differential Equations - J.C. Butcher (2003) WW.djvu

us-17-Aumasson-Automated-Testing-Of-Crypto-Software-Using-Differential-Fuzzing

Differential Equations are somewhat pervasive in the description of natural phenomena and the theory of Ordinary Differential Equations is a basic framework where concepts, tools and results allow a systematic approach to knowledge. This same book aims to give a concrete proof of how the modeling of Nature is based on this theory and beyond. This appendix is intended to provide some concepts and results that are used in the text, referring to the student background and to textbooks for a full acquaintance of the material. We actually mention [ 2 , 3 , 5 , 7 , 10 ] as basic references on the subject.

Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics 文章梳理的ppt