MIT 10.34 Numerical Methods Applied to Chemical Engineering, Fall 2015

by MIT OpenCourseWare · 23 videos

Total watch time

19h 47m

at speed · exactly 19 hours, 47 minutes, 5 seconds at 1×

19h 47m 5s
1.25×15h 49m 40s
1.5×13h 11m 23s
1.75×11h 18m 20s
9h 53m 33s
Average video51m 37s
Longest56m 1s
Shortest45m 17s
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Videos (23)

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Watched
1 5. Eigenvalues and Eigenvectors 53:10 2017-08-17
2 6. Singular Value Decomposition; Iterative Solutions of Linear Equations 47:12 2017-08-17
3 7. Solutions of Nonlinear Equations; Newton-Raphson Method 45:17 2017-08-17
4 8. Quasi-Newton-Raphson Methods 51:23 2017-08-17
5 9. Homotopy and Bifurcation 53:24 2017-08-17
6 11. Unconstrained Optimization; Newton-Raphson and Trust Region Methods 53:30 2017-08-17
7 12. Constrained Optimization; Equality Constraints and Lagrange Multipliers 50:22 2017-08-17
8 13. ODE-IVP and Numerical Integration 1 48:11 2017-08-17
9 16. ODE-IVP and Numerical Integration 4 54:54 2017-08-17
10 18. Differntial Algebraic Equations 2 55:27 2017-08-17
11 19. Differntial Algebraic Equations 3 55:38 2017-08-17
12 20. Boundary Value Problem 1 51:32 2017-08-17
13 21. Boundary Value Problems 2 54:25 2017-08-17
14 22. Partial Differential Equations 1 49:34 2017-08-17
15 25. Review Session 56:01 2017-08-17
16 26. Partial Differential Equations 2 51:12 2017-08-17
17 27. Probability Theory 2 53:12 2017-08-17
18 28. Models vs. Data 1 54:19 2017-08-17
19 30. Models vs. Data 3 50:32 2017-08-17
20 33. Monte Carlo Methods 2 50:21 2017-08-17
21 34. Stochastic Chemical Kinetics 1 53:57 2017-08-17
22 35. Stochastic Chemical Kinetics 2 47:32 2017-08-17
23 36. Final Lecture 46:00 2017-08-17

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