Course11110510063 lectures
Constrained And Unconstrained Optimization
Prof. A. Goswami Prof. Debjani Chakraborty · IIT Kharagpur
Lectures
Week 1
- Lecture 1 : Introduction to Optimization
- Lecture 2 : Assumptions & Mathematical Modeling of LPP
- Lecture 3 : Geometrey of LPP
- Lecture 4 : Graphical Solution of LPP- I
- Lecture 5 : Graphical Solution of LPP- II
Week 2
- Lecture 6: Solution of LPP: Simplex Method
- Lecture 7: Simplex Method
- Lecture 8: Introduction to BIG-M Method
- Lecture 9: Algorithm of BIG-M Method
- Lecture 10: Problems on BIG-M Method
Week 3
- Lecture 11: Two Phase Method: Introduction
- Lecture 12: Two Phase Method: Problem Solution
- Lecture 13: Special Cases of LPP
- Lecture 14: Degeneracy in LPP
- Lecture 15: Sensitivity Analysis- I
Week 4
- Lecture 16: Sensitivity Analysis- II
- Lecture 17: Problems on Sensitivity Analysis
- Lecture 18: Introduction to Duality Theory- I
- Lecture 19: Introduction to Duality Theory- II
- Lecture 20: Dual Simplex Method
Week 5
- Lecture 21: Examples on Dual Simplex Method
- Lecture 22: Interger Linear Programming
- Lecture 23: Interger Linear Programming
- Lecture 24: IPP: Branch & BBound Method
- Lecture 25: Mixed Integer Programming Problem
Week 6
- Lecture 26:Introduction to Transportation Problem I
- Lecture 27: Transportation Problem II
- Lecture 28: Vogel Approximation Method
- Lecture 29: Optimal Solution Generation for Transportation Problem
- Lecture 30: Degeneracy in TP and overview of Assingment Problem
Week 7
- Lecture 31 : Introduction to Nonlinear programming
- Lecture 32 : Graphical Solution of NLP
- Lecture 33 : Types of NLP
- Lecture 34 : One dimentional unconstrained optimization
- Lecture 35 : Unconstrained Optimization
Week 8
- Lecture 36 : Region Elimination Technique-1
- Lecture 37 : Region Elimination Technique-2
- Lecture 38 : Region Elimination Technique-3
- Lecture 39 : Unconstrained Optimization
- Lecture 40 : Unconstrained Optimization
Week 9
- Lecture 41 : Multivariate Unconstrained Optimization-1
- Lecture 42 : Multivariate Unconstrained Optimization-2
- Lecture 43 : Unconstrained Optimization
- Lecture 44: NLP with Equality Constrained-1
- Lecture 45 : NLP with Equality Constrained-2
Week 10
- Lecture 46: Constrained NLP 1
- Lecture 47: Constrained NLP 2
- Lecture 48: Constrained Optimization
- Lecture 49: Constrained Optimization
- Lecture 50: KKT
Week 11
- Lecture 51: Constrained Optimization
- Lecture 52: Constrained Optimization
- Lecture 53: Feasible Direction
- Lecture 54: Penalty and barrier method
- Lecture 55: Penalty method
Week 12
- Lecture 56 : Penalty and barrier method
- Lecture 57 : Penalty and barrier method
- Lecture 58 : Dynamic programming
- Lecture 59 : Multi-Objective decision making
- Lecture 60 : Multi-Attribute decision making
Live Session
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Kharagpur
- Department
- Mathematics
- Teacher
- Prof. A. Goswami Prof. Debjani Chakraborty
- Level
- Undergraduate
- Language
- English
- Subjects
- Mathematics
- Source
- NPTEL
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- NPTEL gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed
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