From b9cfc1dcaa4d20a1fd5a9c5a23569b81e48a2037 Mon Sep 17 00:00:00 2001 From: smxm <695335574@qq.com> Date: Thu, 29 Sep 2022 18:13:04 +0800 Subject: [PATCH] [TRANSLATION] translate convex.md (#249) * Add files via upload * Update convex.en.md * fixed --- docs/数学进阶/convex.en.md | 24 ++++++++++++++++++++++++ 1 file changed, 24 insertions(+) create mode 100644 docs/数学进阶/convex.en.md diff --git a/docs/数学进阶/convex.en.md b/docs/数学进阶/convex.en.md new file mode 100644 index 00000000..da63724d --- /dev/null +++ b/docs/数学进阶/convex.en.md @@ -0,0 +1,24 @@ +# Stanford EE364A: Convex Optimization + +## Descriptions + +- Offered by: Stanford +- Prerequisites: Python, Calculus, Linear Algebra, Probability Theory, Numerical Analysis +- Programming Languages: Python +- Difficulty: 🌟🌟🌟🌟🌟 +- Class Hour: 150 hours + +Professor [Stephen Boyd](http://web.stanford.edu/~boyd) is a great expert in the field of convex optimization and his textbook **Convex Optimization** has been adopted by many prestigious universities. His team has also developed a programming framework for solving common convex optimization problems in Python, Julia, and other popular programming languages, and its homework assignments also use this programming framework to solve real-life convex optimization problems. + +In practice, you will deeply understand that for the same problem, a small change in the modeling process can make a world of difference in the difficulty of solving the equation. It is an art to make the equations you formulate "convex". + +## Course Resources + +- Course Website: +- Recordings: +- Textbook: [Convex Optimization](https://stanford.edu/~boyd/cvxbook/) +- Assignments: refer to the course website + +## Personal Resources + +All the resources and assignments used by @PKUFlyingPig in this course are maintained in [PKUFlyingPic/Standford_CVX101 - GitHub](https://github.com/PKUFlyingPig/Standford_CVX101)