V
主页
Numerical Methods (Fall 2020)
发布人
AM 205 by Christopher Rycroft of Harvard https://www.youtube.com/playlist?list=PL43IQ71lgJytIqhiJ6v5lNswFKeQ9952K 课程主页:https://courses.seas.harvard.edu/courses/am205/ 参考:https://courses.seas.harvard.edu/courses/am225/
打开封面
下载高清视频
观看高清视频
视频下载器
Differential Forms (Fall 2020)
Computer Networks (Fall 2020)
Thermodynamics (Fall 2020)
Software Design (Fall 2020)
Energy Methods and Computational Mechanics (Fall 2020)
Topology (Fall 2020)
Foundations of Software (Fall 2020)
Measure Theory (Fall 2020)
General Topology (Fall 2020)
Graph Theory (Fall 2020)
Advanced Algorithms (Fall 2021)
Introduction to Graph Theory (Fall 2020)
Classical Mechanics (Fall 2020)
Concentration Inequalities (Fall 2020)
Numerical Analysis (Spring 2021)
Course on the Statistical Learning Theory (Fall 2020)
Computational Complexity (Fall 2020)
Fuzzy Sets, Logic and Systems (Fall 2019)
Topics in Analysis: Descriptive Set Theory (Fall 2022)
Combinatorial Optimization (Fall 2020)
Computer Graphics (Fall 2021)
Algorithms (Fall 2021)
Concepts of Programming Languages (Fall 2021)
Statistical Methods: Likelihood, Bayes and Regression (Spring 2021)
Mathematics of Signal Processing (Fall 2020)
Algorithms in Machine Learning (Fall 2020)
Numerical Methods for PDEs (Spring 2022)
Concurrent Programming (Fall 2020)
Discrete Mathematics and FP in Coq (Fall 2020)
Probabilistic Methods in Discrete Mathematics (Winter 2021)
Topics in Real Analysis (Fall 2020)
LMIs in Systems and Control (Fall 2020)
Applied Stochastic Processes (Fall 2016)
Network Optimization (Fall 2018)
Infinite-Dimensional Geometry (Fall 2020)
Cloud Computing and Big Data (Fall 2020)
Art History (Fall 2020)
Optimization for AI (Fall 2020)
Bandit Algorithms and Online Learning (Fall 2021)
Autonomous Vehicle System Engineering (Fall 2020)