awesome-math README

The project's README from github.com/rossant/awesome-math. As one markdown file: README.md.

Awesome Math Awesome

Awesome Math is a curated list of high-quality resources for learning, teaching, and doing mathematics. It covers pure mathematics, applied mathematics, computation, formal proof, and the use of AI in mathematics.

Most resources are free to access. Paid resources may be included when they are widely respected, unusually useful, and hard to replace. Access limits should be stated in the entry.

Read the contribution guidelines before suggesting a resource.

Contents

Start Here

Learning Platforms

Proof and Problem Solving

Video Courses and Series

Questions and Answers

Reference Works

Broad Course Notes

General Mathematics

Foundations and Logic

Logic

Set Theory

Type Theory

Category Theory

Formal Mathematics and Theorem Proving

Algebra

Abstract Algebra

Linear Algebra

Group Theory

Ring and Field Theory

Commutative Algebra

Representation Theory

Number Theory

Algebraic Number Theory

Analytic Number Theory

Combinatorics and Discrete Mathematics

Graph Theory

Geometry and Topology

Differential Geometry

Algebraic Geometry

General Topology

Algebraic Topology

Analysis

Real Analysis

Complex Analysis

Functional Analysis

Operator Theory

Harmonic Analysis

Measure Theory

Differential Equations and Dynamical Systems

Ordinary Differential Equations

Partial Differential Equations

Ergodic Theory and Chaos

Probability and Statistics

Probability

Stochastic Processes

Statistics

Statistical Learning

Algebraic Statistics

Numerical and Computational Mathematics

Numerical Analysis

Optimization, Operations Research, and Control

Control Theory

Mathematical Physics

Interdisciplinary Mathematics

Mathematics for Computer Science

Mathematics for Machine Learning

Information and Coding Theory

Mathematical Finance

Mathematical Biology

Signal Processing

Mathematical Practice

AI for Mathematics

This section covers AI-assisted theorem proving, formalization, and mathematical discovery. Resources that teach the mathematics used in machine learning appear under Mathematics for Machine Learning.

Mathematical Software and Tools

History and Mathematics Education

Community and Further Reading

Journals and Magazines

Blogs

Meetings and Conferences

awesome-math (rossant/awesome-math)

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这是什么东西?一个精心整理的 GitHub 资源清单,收录了学习、教授和研究数学的高质量资源——涵盖纯数学、应用数学、计算数学、形式化证明以及数学中的人工智能。
它是一个应用还是网站?我看到的到底是什么?只是 GitHub 上的一个 README 页面——一个按类别整理的外部资源链接索引:学习平台、教材、视频课程、讲义和工具。不需要安装或运行任何东西。
我能找到代数几何或遍历理论这类冷门领域吗?可以——目录细分到了这个程度,设有专门的板块,比如代数几何、算子理论、遍历理论与混沌、解析数论、随机过程等等,还有几十个其他领域。
如果我卡在某个问题上,可以去哪里求助?这个清单链接了 Mathematics Stack Exchange,可以提问关于题目和证明的问题;还有 MathOverflow,那是面向职业数学家的问答网站。
除了阅读,有没有可以动手练习的内容?有——Khan Academy 和 Brilliant 提供互动式习题课程,Natural Number Game 通过引导式练习教你在 Lean 里做定理证明,Proof and Problem Solving 板块则收录了像 Book of Proof 这样的书。
Creator
rossant
Size
0.4 MB
Stars
16.6K
Updated
CommitAug 14
Age
11y
Commits · 90 Days