Constrained and Unconstrained Optimization

Constrained and Unconstrained Optimization

Constrained and Unconstrained Optimization via YouTube Direct link

Lecture 1 : Introduction to Optimization

1 of 60

1 of 60

Lecture 1 : Introduction to Optimization

Class Central Classrooms beta

YouTube playlists curated by Class Central.

Classroom Contents

Constrained and Unconstrained Optimization

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Lecture 1 : Introduction to Optimization
  2. 2 Lecture 2 : Assumptions & Mathematical Modeling of LPP
  3. 3 Lecture 3 : Geometrey of LPP
  4. 4 Lecture 4 : Graphical Solution of LPP- I
  5. 5 Lecture 5 : Graphical Solution of LPP- II
  6. 6 Lecture 6: Solution of LPP: Simplex Method
  7. 7 Lecture 7: Simplex Method
  8. 8 Lecture 8: Introduction to BIG-M Method
  9. 9 Lecture 9: Algorithm of BIG-M Method
  10. 10 Lecture 10: Problems on BIG-M Method
  11. 11 Lecture 11: Two Phase Method: Introduction
  12. 12 Lecture 12: Two Phase Method: Problem Solution
  13. 13 Lecture 13: Special Cases of LPP
  14. 14 Lecture 14: Degeneracy in LPP
  15. 15 Lecture 15: Sensitivity Analysis- I
  16. 16 Lecture 16: Sensitivity Analysis- II
  17. 17 Lecture 17: Problems on Sensitivity Analysis
  18. 18 Lecture 18: Introduction to Duality Theory- I
  19. 19 Lecture 19: Introduction to Duality Theory- II
  20. 20 Lecture 20: Dual Simplex Method
  21. 21 Lecture 21: Examples on Dual Simplex Method
  22. 22 Lecture 22: Interger Linear Programming
  23. 23 Lecture 23: Interger Linear Programming
  24. 24 Lecture 24: IPP: Branch & BBound Method
  25. 25 Lecture 25: Mixed Integer Programming Problem
  26. 26 Lecture 26 : Introduction to Transportation Problem - I
  27. 27 Lecture 27 : Transportation Problem - II
  28. 28 Lecture 28 : Vogel Approximation Method
  29. 29 Lecture 29 : Optimal Solution Generation for Transportation Problem
  30. 30 Lecture 30 : Degeneracy in TP and Overview of Assignment Problem
  31. 31 Lecture 31 : Introduction to Nonlinear programming
  32. 32 Lecture 32 : Graphical Solution of NLP
  33. 33 Lecture 33 : Types of NLP
  34. 34 Lecture 34 : One dimentional unconstrained optimization
  35. 35 Lecture 35 : Unconstrained Optimization
  36. 36 Lecture 36 : Region Elimination Technique-1
  37. 37 Lecture 37 : Region Elimination Technique-2
  38. 38 Lecture 38 : Region Elimination Technique-3
  39. 39 Lecture 39 : Unconstrained Optimization
  40. 40 Lecture 40 : Unconstrained Optimization
  41. 41 Lecture 41 : Multivariate Unconstrained Optimization-1
  42. 42 Lecture 42 : Multivariate Unconstrained Optimization-2
  43. 43 Lecture 43 : Unconstrained Optimization
  44. 44 Lecture 44: NLP with Equality Constrained-1
  45. 45 Lecture 45 : NLP with Equality Constrained-2
  46. 46 Lecture 46 : Constrained NLP - I
  47. 47 Lecture 47 : Constrained NLP - II
  48. 48 Lecture 48 : Constrained Optimization
  49. 49 Lecture 49 : Constrained Optimization (Contd.)
  50. 50 Lecture 50 : KKT
  51. 51 Lecture 51 : Constrained Optimization
  52. 52 Lecture 52 : Constrained Optimization (Contd.)
  53. 53 Lecture 53 : Feasible Direction
  54. 54 Lecture 54 : Penalty and Barrier Method
  55. 55 Lecture 55 : Penalty Method
  56. 56 Lecture 56 : Penalty and Barrier Method
  57. 57 Lecture 57 : Penalty and Barrier Method (Contd.)
  58. 58 Lecture 58 : Dynamic Programming
  59. 59 Lecture 59 : Multi - Objective Decision Making
  60. 60 Lecture 60 : Multi-Attribute Decision Making

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.