MIT 10.34 Numerical Methods Applied to Chemical Engineering, Fall 2015
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17 learners
What you'll learn
This course includes
- 19.5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 23 lessons • 19.5 hours of video
MIT 10.34 Numerical Methods Applied to Chemical Engineering, Fall 2015
23 lessons
• 19.5 hours
MIT 10.34 Numerical Methods Applied to Chemical Engineering, Fall 2015
23 lessons
• 19.5 hours
- 5. Eigenvalues and Eigenvectors 53:10
- 6. Singular Value Decomposition; Iterative Solutions of Linear Equations 47:12
- 7. Solutions of Nonlinear Equations; Newton-Raphson Method 45:17
- 8. Quasi-Newton-Raphson Methods 51:23
- 9. Homotopy and Bifurcation 53:24
- 11. Unconstrained Optimization; Newton-Raphson and Trust Region Methods 53:30
- 12. Constrained Optimization; Equality Constraints and Lagrange Multipliers 50:22
- 13. ODE-IVP and Numerical Integration 1 48:11
- 16. ODE-IVP and Numerical Integration 4 54:54
- 18. Differntial Algebraic Equations 2 55:27
- 19. Differntial Algebraic Equations 3 55:38
- 20. Boundary Value Problem 1 51:32
- 21. Boundary Value Problems 2 54:25
- 22. Partial Differential Equations 1 49:34
- 25. Review Session 56:01
- 26. Partial Differential Equations 2 51:12
- 27. Probability Theory 2 53:12
- 28. Models vs. Data 1 54:19
- 30. Models vs. Data 3 50:32
- 33. Monte Carlo Methods 2 50:21
- 34. Stochastic Chemical Kinetics 1 53:57
- 35. Stochastic Chemical Kinetics 2 47:32
- 36. Final Lecture 46:00
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