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wzyer 2013-05-22 15:57 0 票支持; 0 票反对
也许因为我对这个话题比较熟悉。所以没有觉得学到很多东西。不过想搞科学计算的从这里入门我觉得还是很不错的。几种基本的微分方程数值解法都说到了,讲的也比较易懂,当然不会很深入。 |
开始时间: 04/22/2022 持续时间: 自主
所在平台: Udacity 课程类别: 数学 大学或机构: Udacity Self |
课程主页: https://www.udacity.com/course/cs222
课程评论: 1 个评论
By the end of this course, you'll develop an intuition for the use of differential equations in the applied sciences. You'll also learn how to build mathematical models for systems of differential equations. Along the way, you'll learn how to translate mathematical expressions into Python code, and solve some really cool problems!
Lesson 1: Rescuing Apollo 13, Part 1
Introduction to the Forward Euler Method
Lesson 2: Rescuing Apollo 13, Part 2
Comparing solvers, Heun’s Method and Symplectic Euler Method
Lesson 3: Analyzing the Spread of Diseases
Implicit methods and stiffness
Lesson 4: There’s Plenty of Fish in the Sea?
Stability, sensitivity, and optimization
Lesson 5: Antilock Brake Systems
Friction, equilibria, and control theory
Lesson 6: The Path of a Forest Fire
Partial differential equations and heat conduction
Lesson 7: Advanced Applications of Numerical Methods
Chaos, software, and predictive capability
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wzyer 2013-05-22 15:57 0 票支持; 0 票反对
也许因为我对这个话题比较熟悉。所以没有觉得学到很多东西。不过想搞科学计算的从这里入门我觉得还是很不错的。几种基本的微分方程数值解法都说到了,讲的也比较易懂,当然不会很深入。 |
In this course you will examine real world problems -- rescue the Apollo 13 astronauts, stop the spread of epidemics, and fight forest fires -- involving differential equations and figure out how to solve them using numerical methods.
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