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source: MIT OpenCourseWare 2017年8月17日
MIT 10.34 Numerical Methods Applied to Chemical Engineering, Fall 2015
View the complete course: http://ocw.mit.edu/10-34F15
Instructor: Prof. William Green Jr. and Prof. James W. Swan
Numerical methods for solving problems arising in heat and mass transfer, fluid mechanics, chemical reaction engineering, and molecular simulation, within the context of chemical engineering problems. Familiarity with structured programming is assumed.
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
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1 53:10 5. Eigenvalues and Eigenvectors
2 47:12 6. Singular Value Decomposition; Iterative Solutions of Linear Equations
3 45:17 7. Solutions of Nonlinear Equations; Newton-Raphson Method
4 51:23 8. Quasi-Newton-Raphson Methods
5 53:24 9. Homotopy and Bifurcation
6 53:30 11. Unconstrained Optimization; Newton-Raphson and Trust Region Methods
7 50:22 12. Constrained Optimization; Equality Constraints and Lagrange Multipliers
8 48:11 13. ODE-IVP and Numerical Integration 1
9 54:53 16. ODE-IVP and Numerical Integration 4
10 55:27 18. Differential Algebraic Equations 2
11 55:38 19. Differential Algebraic Equations 3
12 51:32 20. Boundary Value Problem 1
13 54:25 21. Boundary Value Problems 2
14 49:34 22. Partial Differential Equations 1
15 56:01 25. Review Session
16 51:12 26. Partial Differential Equations 2
17 53:12 27. Probability Theory 2
18 54:19 28. Models vs. Data 1
19 50:32 30. Models vs. Data 3
20 50:21 33. Monte Carlo Methods 2
21 53:57 34. Stochastic Chemical Kinetics 1
22 47:32 35. Stochastic Chemical Kinetics 2
23 46:00 36. Final Lecture
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