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Home » Applied Sciences » Engineering » Chemical Engineering » Numerical Methods Applied to Chemical Engineering, Fall 2015 (M-I-T) » 8. Quasi-Newton-Raphson Methods (M-I-T)

8. Quasi-Newton-Raphson Methods (M-I-T)

Course:Numerical Methods Applied to Chemical Engineering, Fall 2015 (M-I-T)
Discipline:Applied Sciences
Institute:MIT
Instructor(s): Prof. James Swan
Level:Undergraduate

Numerical Methods Applied to Chemical Engineering, Fall 2015 (M-I-T)

11. Unconstrained Optimization; Newton-Raphson and Trust Region Methods (M-I-T)
12. Constrained Optimization; Equality Constraints and Lagrange Multipliers (M-I-T)
13. ODE-IVP and Numerical Integration 1 (M-I-T)
16. ODE-IVP and Numerical Integration 4 (M-I-T)
18. Differntial Algebraic Equations 2 (M-I-T)
19. Differntial Algebraic Equations 3 (M-I-T)
20. Boundary Value Problem 1 (M-I-T)
21. Boundary Value Problems 2 (M-I-T)
22. Partial Differential Equations 1 (M-I-T)
25. Review Session (M-I-T)
26. Partial Differential Equations 2 (M-I-T)
27. Probability Theory 2 (M-I-T)
28. Models vs. Data 1 (M-I-T)
30. Models vs. Data 3 (M-I-T)
33. Monte Carlo Methods 2 (M-I-T)
34. Stochastic Chemical Kinetics 1 (M-I-T)
35. Stochastic Chemical Kinetics 2 (M-I-T)
36. Final Lecture (M-I-T)
5. Eigenvalues and Eigenvectors (M-I-T)
6. Singular Value Decomposition; Iterative Solutions of Linear Equations (M-I-T)

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