Learn · Numerical Methods Applied to Chemical Engineering

Lecture 2 of 23Class Videos48 min

Session 6: Singular Value Decomposition; Iterative Solutions of Linear Equations

Prof. William Green, Jr. and Prof. James W. Swan · Massachusetts Institute of Technology

At MIT OpenCourseWare Transcript

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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.
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All the lectures

  1. Session 5: Eigenvalues and Eigenvectors 54 min · Video
  2. Session 6: Singular Value Decomposition; Iterative Solutions of Linear Equations 48 min · Video
  3. Session 7: Solutions of Nonlinear Equations; Newton-Raphson Method 46 min · Video
  4. Session 8: Quasi-Newton-Raphson Methods 52 min · Video
  5. Session 9: Homotopy and Bifurcation 54 min · Video
  6. Session 11: Unconstrained Optimization; Newton-Raphson and Trust Region Methods 54 min · Video
  7. Session 12: Constrained Optimization; Equality Constraints and Lagrange Multipliers 51 min · Video
  8. Session 13: ODE-IVP and Numerical Integration 1 49 min · Video
  9. Session 16: ODE-IVP and Numerical Integration 4 55 min · Video
  10. Session 18: Differential Algebraic Equations 2 56 min · Video
  11. Session 19: Differential Algebraic Equations 3 56 min · Video
  12. Session 20: Boundary Value Problem 1 52 min · Video
  13. Session 21: Boundary Value Problems 2 55 min · Video
  14. Session 22: Partial Differential Equations 1 50 min · Video
  15. Session 25: Review Session 56 min · Video
  16. Session 26: Partial Differential Equations 2 52 min · Video
  17. Session 27: Probability Theory 2 54 min · Video
  18. Session 28: Models vs. Data 1 55 min · Video
  19. Session 30: Models vs. Data 3 51 min · Video
  20. Session 33: Monte Carlo Methods 2 51 min · Video
  21. Session 34: Stochastic Chemical Kinetics 1 54 min · Video
  22. Session 35: Stochastic Chemical Kinetics 2 48 min · Video
  23. Session 36: Final Lecture 46 min · Video