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Sl.No Chapter Name MP4 Download
1Lecture 1 : Introduction to OptimizationDownload
2Lecture 2 : Assumptions & Mathematical Modeling of LPPDownload
3Lecture 3 : Geometrey of LPPDownload
4Lecture 4 : Graphical Solution of LPP- IDownload
5Lecture 5 : Graphical Solution of LPP- IIDownload
6Lecture 6: Solution of LPP: Simplex MethodDownload
7Lecture 7: Simplex MethodDownload
8Lecture 8: Introduction to BIG-M MethodDownload
9Lecture 9: Algorithm of BIG-M MethodDownload
10Lecture 10: Problems on BIG-M MethodDownload
11Lecture 11: Two Phase Method: IntroductionDownload
12Lecture 12: Two Phase Method: Problem SolutionDownload
13Lecture 13: Special Cases of LPPDownload
14Lecture 14: Degeneracy in LPPDownload
15Lecture 15: Sensitivity Analysis- IDownload
16Lecture 16: Sensitivity Analysis- IIDownload
17Lecture 17: Problems on Sensitivity AnalysisDownload
18Lecture 18: Introduction to Duality Theory- IDownload
19Lecture 19: Introduction to Duality Theory- IIDownload
20Lecture 20: Dual Simplex MethodDownload
21Lecture 21: Examples on Dual Simplex Method Download
22Lecture 22: Interger Linear ProgrammingDownload
23Lecture 23: Interger Linear ProgrammingDownload
24Lecture 24: IPP: Branch & BBound MethodDownload
25Lecture 25: Mixed Integer Programming ProblemDownload
26Lecture 26 : Download
27Lecture 27 : Download
28Lecture 28 : Download
29Lecture 29 : Download
30Lecture 30 : Download
31Lecture 31 : Introduction to Nonlinear programmingDownload
32Lecture 32 : Graphical Solution of NLPDownload
33Lecture 33 : Types of NLPDownload
34Lecture 34 : One dimentional unconstrained optimizationDownload
35Lecture 35 : Unconstrained OptimizationDownload
36Lecture 36 : Region Elimination Technique-1Download
37Lecture 37 : Region Elimination Technique-2Download
38Lecture 38 : Region Elimination Technique-3Download
39Lecture 39 : Unconstrained OptimizationDownload
40Lecture 40 : Unconstrained OptimizationDownload
41Lecture 41 : Multivariate Unconstrained Optimization-1Download
42Lecture 42 : Multivariate Unconstrained Optimization-2Download
43Lecture 43 : Unconstrained OptimizationDownload
44Lecture 44: NLP with Equality Constrained-1Download
45Lecture 45 : NLP with Equality Constrained-2Download
46Lecture 46: Constrained NLP 1Download
47Lecture 47: Constrained NLP 2Download
48Lecture 48: Constrained OptimizationDownload
49Lecture 49: Constrained OptimizationDownload
50Lecture 50: KKTDownload
51Lecture 51: Constrained OptimizationDownload
52Lecture 52: Constrained OptimizationDownload
53Lecture 53: Feasible DirectionDownload
54Lecture 54: Penalty and barrier methodDownload
55Lecture 55: Penalty methodDownload
56Lecture 56 : Penalty and barrier methodDownload
57Lecture 57 : Penalty and barrier methodDownload
58Lecture 58 : Dynamic programmingDownload
59Lecture 59 : Multi-Objective decision makingDownload
60Lecture 60 : Multi-Attribute decision makingDownload

Sl.No Chapter Name English
1Lecture 1 : Introduction to OptimizationDownload
Verified
2Lecture 2 : Assumptions & Mathematical Modeling of LPPDownload
Verified
3Lecture 3 : Geometrey of LPPDownload
Verified
4Lecture 4 : Graphical Solution of LPP- IDownload
Verified
5Lecture 5 : Graphical Solution of LPP- IIDownload
Verified
6Lecture 6: Solution of LPP: Simplex MethodDownload
Verified
7Lecture 7: Simplex MethodDownload
Verified
8Lecture 8: Introduction to BIG-M MethodDownload
Verified
9Lecture 9: Algorithm of BIG-M MethodDownload
Verified
10Lecture 10: Problems on BIG-M MethodDownload
Verified
11Lecture 11: Two Phase Method: IntroductionDownload
Verified
12Lecture 12: Two Phase Method: Problem SolutionDownload
Verified
13Lecture 13: Special Cases of LPPDownload
Verified
14Lecture 14: Degeneracy in LPPDownload
Verified
15Lecture 15: Sensitivity Analysis- IDownload
Verified
16Lecture 16: Sensitivity Analysis- IIDownload
Verified
17Lecture 17: Problems on Sensitivity AnalysisDownload
Verified
18Lecture 18: Introduction to Duality Theory- IDownload
Verified
19Lecture 19: Introduction to Duality Theory- IIDownload
Verified
20Lecture 20: Dual Simplex MethodDownload
Verified
21Lecture 21: Examples on Dual Simplex Method Download
Verified
22Lecture 22: Interger Linear ProgrammingDownload
Verified
23Lecture 23: Interger Linear ProgrammingDownload
Verified
24Lecture 24: IPP: Branch & BBound MethodDownload
Verified
25Lecture 25: Mixed Integer Programming ProblemDownload
Verified
26Lecture 26 : Download
Verified
27Lecture 27 : Download
Verified
28Lecture 28 : Download
Verified
29Lecture 29 : Download
Verified
30Lecture 30 : Download
Verified
31Lecture 31 : Introduction to Nonlinear programmingDownload
Verified
32Lecture 32 : Graphical Solution of NLPDownload
Verified
33Lecture 33 : Types of NLPDownload
Verified
34Lecture 34 : One dimentional unconstrained optimizationDownload
Verified
35Lecture 35 : Unconstrained OptimizationDownload
Verified
36Lecture 36 : Region Elimination Technique-1Download
Verified
37Lecture 37 : Region Elimination Technique-2Download
Verified
38Lecture 38 : Region Elimination Technique-3Download
Verified
39Lecture 39 : Unconstrained OptimizationDownload
Verified
40Lecture 40 : Unconstrained OptimizationDownload
Verified
41Lecture 41 : Multivariate Unconstrained Optimization-1Download
Verified
42Lecture 42 : Multivariate Unconstrained Optimization-2Download
Verified
43Lecture 43 : Unconstrained OptimizationDownload
Verified
44Lecture 44: NLP with Equality Constrained-1Download
Verified
45Lecture 45 : NLP with Equality Constrained-2Download
Verified
46Lecture 46: Constrained NLP 1Download
Verified
47Lecture 47: Constrained NLP 2Download
Verified
48Lecture 48: Constrained OptimizationDownload
Verified
49Lecture 49: Constrained OptimizationDownload
Verified
50Lecture 50: KKTDownload
Verified
51Lecture 51: Constrained OptimizationDownload
Verified
52Lecture 52: Constrained OptimizationDownload
Verified
53Lecture 53: Feasible DirectionDownload
Verified
54Lecture 54: Penalty and barrier methodDownload
Verified
55Lecture 55: Penalty methodDownload
Verified
56Lecture 56 : Penalty and barrier methodPDF unavailable
57Lecture 57 : Penalty and barrier methodPDF unavailable
58Lecture 58 : Dynamic programmingPDF unavailable
59Lecture 59 : Multi-Objective decision makingPDF unavailable
60Lecture 60 : Multi-Attribute decision makingPDF unavailable


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2BengaliNot Available
3GujaratiNot Available
4HindiNot Available
5KannadaNot Available
6MalayalamNot Available
7MarathiNot Available
8TamilNot Available
9TeluguNot Available