| Name | Download | Download Size |
|---|---|---|
| Lecture Note | Download as zip file | 8.9M |
| Sl.No | Chapter Name | MP4 Download |
|---|---|---|
| 1 | Lecture 1 : Introduction to Optimization | Download |
| 2 | Lecture 2 : Assumptions & Mathematical Modeling of LPP | Download |
| 3 | Lecture 3 : Geometrey of LPP | Download |
| 4 | Lecture 4 : Graphical Solution of LPP- I | Download |
| 5 | Lecture 5 : Graphical Solution of LPP- II | Download |
| 6 | Lecture 6: Solution of LPP: Simplex Method | Download |
| 7 | Lecture 7: Simplex Method | Download |
| 8 | Lecture 8: Introduction to BIG-M Method | Download |
| 9 | Lecture 9: Algorithm of BIG-M Method | Download |
| 10 | Lecture 10: Problems on BIG-M Method | Download |
| 11 | Lecture 11: Two Phase Method: Introduction | Download |
| 12 | Lecture 12: Two Phase Method: Problem Solution | Download |
| 13 | Lecture 13: Special Cases of LPP | Download |
| 14 | Lecture 14: Degeneracy in LPP | Download |
| 15 | Lecture 15: Sensitivity Analysis- I | Download |
| 16 | Lecture 16: Sensitivity Analysis- II | Download |
| 17 | Lecture 17: Problems on Sensitivity Analysis | Download |
| 18 | Lecture 18: Introduction to Duality Theory- I | Download |
| 19 | Lecture 19: Introduction to Duality Theory- II | Download |
| 20 | Lecture 20: Dual Simplex Method | Download |
| 21 | Lecture 21: Examples on Dual Simplex Method | Download |
| 22 | Lecture 22: Interger Linear Programming | Download |
| 23 | Lecture 23: Interger Linear Programming | Download |
| 24 | Lecture 24: IPP: Branch & BBound Method | Download |
| 25 | Lecture 25: Mixed Integer Programming Problem | Download |
| 26 | Lecture 26 : | Download |
| 27 | Lecture 27 : | Download |
| 28 | Lecture 28 : | Download |
| 29 | Lecture 29 : | Download |
| 30 | Lecture 30 : | Download |
| 31 | Lecture 31 : Introduction to Nonlinear programming | Download |
| 32 | Lecture 32 : Graphical Solution of NLP | Download |
| 33 | Lecture 33 : Types of NLP | Download |
| 34 | Lecture 34 : One dimentional unconstrained optimization | Download |
| 35 | Lecture 35 : Unconstrained Optimization | Download |
| 36 | Lecture 36 : Region Elimination Technique-1 | Download |
| 37 | Lecture 37 : Region Elimination Technique-2 | Download |
| 38 | Lecture 38 : Region Elimination Technique-3 | Download |
| 39 | Lecture 39 : Unconstrained Optimization | Download |
| 40 | Lecture 40 : Unconstrained Optimization | Download |
| 41 | Lecture 41 : Multivariate Unconstrained Optimization-1 | Download |
| 42 | Lecture 42 : Multivariate Unconstrained Optimization-2 | Download |
| 43 | Lecture 43 : Unconstrained Optimization | Download |
| 44 | Lecture 44: NLP with Equality Constrained-1 | Download |
| 45 | Lecture 45 : NLP with Equality Constrained-2 | Download |
| 46 | Lecture 46: Constrained NLP 1 | Download |
| 47 | Lecture 47: Constrained NLP 2 | Download |
| 48 | Lecture 48: Constrained Optimization | Download |
| 49 | Lecture 49: Constrained Optimization | Download |
| 50 | Lecture 50: KKT | Download |
| 51 | Lecture 51: Constrained Optimization | Download |
| 52 | Lecture 52: Constrained Optimization | Download |
| 53 | Lecture 53: Feasible Direction | Download |
| 54 | Lecture 54: Penalty and barrier method | Download |
| 55 | Lecture 55: Penalty method | Download |
| 56 | Lecture 56 : Penalty and barrier method | Download |
| 57 | Lecture 57 : Penalty and barrier method | Download |
| 58 | Lecture 58 : Dynamic programming | Download |
| 59 | Lecture 59 : Multi-Objective decision making | Download |
| 60 | Lecture 60 : Multi-Attribute decision making | Download |
| Sl.No | Chapter Name | English |
|---|---|---|
| 1 | Lecture 1 : Introduction to Optimization | Download Verified |
| 2 | Lecture 2 : Assumptions & Mathematical Modeling of LPP | Download Verified |
| 3 | Lecture 3 : Geometrey of LPP | Download Verified |
| 4 | Lecture 4 : Graphical Solution of LPP- I | Download Verified |
| 5 | Lecture 5 : Graphical Solution of LPP- II | Download Verified |
| 6 | Lecture 6: Solution of LPP: Simplex Method | Download Verified |
| 7 | Lecture 7: Simplex Method | Download Verified |
| 8 | Lecture 8: Introduction to BIG-M Method | Download Verified |
| 9 | Lecture 9: Algorithm of BIG-M Method | Download Verified |
| 10 | Lecture 10: Problems on BIG-M Method | Download Verified |
| 11 | Lecture 11: Two Phase Method: Introduction | Download Verified |
| 12 | Lecture 12: Two Phase Method: Problem Solution | Download Verified |
| 13 | Lecture 13: Special Cases of LPP | Download Verified |
| 14 | Lecture 14: Degeneracy in LPP | Download Verified |
| 15 | Lecture 15: Sensitivity Analysis- I | Download Verified |
| 16 | Lecture 16: Sensitivity Analysis- II | Download Verified |
| 17 | Lecture 17: Problems on Sensitivity Analysis | Download Verified |
| 18 | Lecture 18: Introduction to Duality Theory- I | Download Verified |
| 19 | Lecture 19: Introduction to Duality Theory- II | Download Verified |
| 20 | Lecture 20: Dual Simplex Method | Download Verified |
| 21 | Lecture 21: Examples on Dual Simplex Method | Download Verified |
| 22 | Lecture 22: Interger Linear Programming | Download Verified |
| 23 | Lecture 23: Interger Linear Programming | Download Verified |
| 24 | Lecture 24: IPP: Branch & BBound Method | Download Verified |
| 25 | Lecture 25: Mixed Integer Programming Problem | Download Verified |
| 26 | Lecture 26 : | Download Verified |
| 27 | Lecture 27 : | Download Verified |
| 28 | Lecture 28 : | Download Verified |
| 29 | Lecture 29 : | Download Verified |
| 30 | Lecture 30 : | Download Verified |
| 31 | Lecture 31 : Introduction to Nonlinear programming | Download Verified |
| 32 | Lecture 32 : Graphical Solution of NLP | Download Verified |
| 33 | Lecture 33 : Types of NLP | Download Verified |
| 34 | Lecture 34 : One dimentional unconstrained optimization | Download Verified |
| 35 | Lecture 35 : Unconstrained Optimization | Download Verified |
| 36 | Lecture 36 : Region Elimination Technique-1 | Download Verified |
| 37 | Lecture 37 : Region Elimination Technique-2 | Download Verified |
| 38 | Lecture 38 : Region Elimination Technique-3 | Download Verified |
| 39 | Lecture 39 : Unconstrained Optimization | Download Verified |
| 40 | Lecture 40 : Unconstrained Optimization | Download Verified |
| 41 | Lecture 41 : Multivariate Unconstrained Optimization-1 | Download Verified |
| 42 | Lecture 42 : Multivariate Unconstrained Optimization-2 | Download Verified |
| 43 | Lecture 43 : Unconstrained Optimization | Download Verified |
| 44 | Lecture 44: NLP with Equality Constrained-1 | Download Verified |
| 45 | Lecture 45 : NLP with Equality Constrained-2 | Download Verified |
| 46 | Lecture 46: Constrained NLP 1 | Download Verified |
| 47 | Lecture 47: Constrained NLP 2 | Download Verified |
| 48 | Lecture 48: Constrained Optimization | Download Verified |
| 49 | Lecture 49: Constrained Optimization | Download Verified |
| 50 | Lecture 50: KKT | Download Verified |
| 51 | Lecture 51: Constrained Optimization | Download Verified |
| 52 | Lecture 52: Constrained Optimization | Download Verified |
| 53 | Lecture 53: Feasible Direction | Download Verified |
| 54 | Lecture 54: Penalty and barrier method | Download Verified |
| 55 | Lecture 55: Penalty method | Download Verified |
| 56 | Lecture 56 : Penalty and barrier method | PDF unavailable |
| 57 | Lecture 57 : Penalty and barrier method | PDF unavailable |
| 58 | Lecture 58 : Dynamic programming | PDF unavailable |
| 59 | Lecture 59 : Multi-Objective decision making | PDF unavailable |
| 60 | Lecture 60 : Multi-Attribute decision making | PDF unavailable |
| Sl.No | Language | Book link |
|---|---|---|
| 1 | English | Download |
| 2 | Bengali | Not Available |
| 3 | Gujarati | Not Available |
| 4 | Hindi | Not Available |
| 5 | Kannada | Not Available |
| 6 | Malayalam | Not Available |
| 7 | Marathi | Not Available |
| 8 | Tamil | Not Available |
| 9 | Telugu | Not Available |