Constrained and unconstrained optimization G8STJEX4WZ

URI	`m2://res/G8STJEX4WZ`
Kind	course
Creators	Debjani Chakraborty (instructor), A. Goswami (instructor)
Date	2017-07-13
Scope	in
Ids	course 03w5sq511:111105100

Expressions

e1: edition

Language	en
Date	2017-07-13

m1: page, IIT Kharagpur (record). nptel 111105100
m2: page, 2017-07-13 (record). nptel 111105100

Contents

part 1: Week 1
session 1: Lecture 1 : Introduction to Optimization
session 2: Lecture 2 : Assumptions & Mathematical Modeling of LPP
session 3: Lecture 3 : Geometrey of LPP
session 4: Lecture 4 : Graphical Solution of LPP- I
session 5: Lecture 5 : Graphical Solution of LPP- II
part 2: Week 2
session 6: Lecture 6: Solution of LPP: Simplex Method
session 7: Lecture 7: Simplex Method
session 8: Lecture 8: Introduction to BIG-M Method
session 9: Lecture 9: Algorithm of BIG-M Method
session 10: Lecture 10: Problems on BIG-M Method
part 3: Week 3
session 11: Lecture 11: Two Phase Method: Introduction
session 12: Lecture 12: Two Phase Method: Problem Solution
session 13: Lecture 13: Special Cases of LPP
session 14: Lecture 14: Degeneracy in LPP
session 15: Lecture 15: Sensitivity Analysis- I
part 4: Week 4
session 16: Lecture 16: Sensitivity Analysis- II
session 17: Lecture 17: Problems on Sensitivity Analysis
session 18: Lecture 18: Introduction to Duality Theory- I
session 19: Lecture 19: Introduction to Duality Theory- II
session 20: Lecture 20: Dual Simplex Method
part 5: Week 5
session 21: Lecture 21: Examples on Dual Simplex Method
session 22: Lecture 22: Interger Linear Programming
session 23: Lecture 23: Interger Linear Programming
session 24: Lecture 24: IPP: Branch & BBound Method
session 25: Lecture 25: Mixed Integer Programming Problem
part 6: Week 6
session 26: Lecture 26:Introduction to Transportation Problem I
session 27: Lecture 27: Transportation Problem II
session 28: Lecture 28: Vogel Approximation Method
session 29: Lecture 29: Optimal Solution Generation for Transportation Problem
session 30: Lecture 30: Degeneracy in TP and overview of Assingment Problem
part 7: Week 7
session 31: Lecture 31 : Introduction to Nonlinear programming
session 32: Lecture 32 : Graphical Solution of NLP
session 33: Lecture 33 : Types of NLP
session 34: Lecture 34 : One dimentional unconstrained optimization
session 35: Lecture 35 : Unconstrained Optimization
part 8: Week 8
session 36: Lecture 36 : Region Elimination Technique-1
session 37: Lecture 37 : Region Elimination Technique-2
session 38: Lecture 38 : Region Elimination Technique-3
session 39: Lecture 39 : Unconstrained Optimization
session 40: Lecture 40 : Unconstrained Optimization
part 9: Week 9
session 41: Lecture 41 : Multivariate Unconstrained Optimization-1
session 42: Lecture 42 : Multivariate Unconstrained Optimization-2
session 43: Lecture 43 : Unconstrained Optimization
session 44: Lecture 44: NLP with Equality Constrained-1
session 45: Lecture 45 : NLP with Equality Constrained-2
part 10: Week 10
session 46: Lecture 46: Constrained NLP 1
session 47: Lecture 47: Constrained NLP 2
session 48: Lecture 48: Constrained Optimization
session 49: Lecture 49: Constrained Optimization
session 50: Lecture 50: KKT
part 11: Week 11
session 51: Lecture 51: Constrained Optimization
session 52: Lecture 52: Constrained Optimization
session 53: Lecture 53: Feasible Direction
session 54: Lecture 54: Penalty and barrier method
session 55: Lecture 55: Penalty method
part 12: Week 12
session 56: Lecture 56 : Penalty and barrier method
session 57: Lecture 57 : Penalty and barrier method
session 58: Lecture 58 : Dynamic programming
session 59: Lecture 59 : Multi-Objective decision making
session 60: Lecture 60 : Multi-Attribute decision making
part 13: Live Session
session 61: Live Session 15-10-2020
session 62: Live Session 11-11-2020
session 63: Live Session 12-12-2020

Catalogue records

nptel: 111105100 (manifestation)
nptel_video: 111105100 (manifestation)