Learn · Numerical Methods Applied to Chemical Engineering
Lecture 19 of 23Class Videos51 min
Session 30: Models vs. Data 3
Prof. William Green, Jr. and Prof. James W. Swan · Massachusetts Institute of Technology
Credits and licence
- From
- Numerical Methods Applied to Chemical Engineering, Massachusetts Institute of Technology (at MIT OpenCourseWare)
- Licence
- CC BY-NC-SA 4.0, as MIT OpenCourseWare states it. Non-commercial use only.
- Attribution
- Prof. William Green, Jr., Prof. James W. Swan. Numerical Methods Applied to Chemical Engineering. Fall 2015. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu/. License: Creative Commons BY-NC-SA.
- Who can watch
- Tweens profiles and older. How courses are placed
All the lectures
- Session 5: Eigenvalues and Eigenvectors
- Session 6: Singular Value Decomposition; Iterative Solutions of Linear Equations
- Session 7: Solutions of Nonlinear Equations; Newton-Raphson Method
- Session 8: Quasi-Newton-Raphson Methods
- Session 9: Homotopy and Bifurcation
- Session 11: Unconstrained Optimization; Newton-Raphson and Trust Region Methods
- Session 12: Constrained Optimization; Equality Constraints and Lagrange Multipliers
- Session 13: ODE-IVP and Numerical Integration 1
- Session 16: ODE-IVP and Numerical Integration 4
- Session 18: Differential Algebraic Equations 2
- Session 19: Differential Algebraic Equations 3
- Session 20: Boundary Value Problem 1
- Session 21: Boundary Value Problems 2
- Session 22: Partial Differential Equations 1
- Session 25: Review Session
- Session 26: Partial Differential Equations 2
- Session 27: Probability Theory 2
- Session 28: Models vs. Data 1
- Session 30: Models vs. Data 3
- Session 33: Monte Carlo Methods 2
- Session 34: Stochastic Chemical Kinetics 1
- Session 35: Stochastic Chemical Kinetics 2
- Session 36: Final Lecture