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

• 5. Eigenvalues and Eigenvectors (M-I-T)
• 6. Singular Value Decomposition; Iterative Solutions of Linear Equations (M-I-T)
• 8. Quasi-Newton-Raphson Methods (M-I-T)
• 9. Homotopy and Bifurcation (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)