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1,175,205 results
MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: ...
0 views
10 years ago
MIT 18.200 Principles of Discrete Applied Mathematics, Spring 2024 Instructor: Peter Shor View the complete course: ...
2,909 views
3 months ago
MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018 Instructor: Gilbert Strang ...
81,765 views
6 years ago
A visual-heavy introduction to Linear Programming including basic definitions, solution via the Simplex method, the principle of ...
902,405 views
2 years ago
1,545 views
Linear Programming and Duality View the complete course at: http://ocw.mit.edu/18-086S06 License: Creative Commons ...
23,117 views
17 years ago
Optimization with constraints View the complete course at: http://ocw.mit.edu/18-086S06 License: Creative Commons BY-NC-SA ...
14,368 views
This optimization technique is so cool!! Get Maple Learn ▻https://www.maplesoft.com/products/learn/?p=TC-9857 Get the free ...
302,966 views
4 years ago
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair ...
6,974 views
7 years ago
Lecture starts at 8:50. Aug 23, 2016. Penn State University.
271,524 views
9 years ago
1,875 views
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Dimitris ...
10,246 views
Recorded by Andrew Xia.
12,528 views
Lecture 10: Trajectory stabilization and iterative linear quadratic regulator (iLQR) Instructor: Russell Tedrake See the complete ...
8,424 views
15 years ago
Lecture 18: Shortest Paths II: Bellman-Ford, Linear Programming, Difference Constraints View the complete course at: ...
106,695 views
MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016 View the complete course: ...
250,431 views
8 years ago
3,253 views
MIT 18.S096 Topics in Mathematics with Applications in Finance, Fall 2013 View the complete course: ...
5,962,016 views
11 years ago
Zero for whether or not the edge is cut so this is the natural integer linear programming relaxation for Max cut it's Optimum value ...
10,813 views
Lecture 15: Dynamic Programming, Longest Common Subsequence View the complete course at: http://ocw.mit.edu/6-046JF05 ...
159,235 views