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Dr. Meenakshi Rana
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Dr. Meenakshi Rana
Home
Research & Publication
Projects
Teaching
Number Theory
Optimization Techniques
Enumerative Combinatorics
Discrete Math Structure
Computational Number Theory
Graph Theory
Introductory Mathematics
Administrative Responsibilities
Photo Gallary
More
Home
Research & Publication
Projects
Teaching
Number Theory
Optimization Techniques
Enumerative Combinatorics
Discrete Math Structure
Computational Number Theory
Graph Theory
Introductory Mathematics
Administrative Responsibilities
Photo Gallary
Optimization Techniques
Current Year 202
5 Lecture
Notes:
Unit-1
Unit-2
Unit-3
Unit-4
&
IPP-Gomory Constraint
IPP-Examples for Gomory Constaints/Fractional Cut
Unit-5:
Transportation Problem:
TP-Part 1-
Introduction
TP-Part 2-Necessary & Sufficient Conditions
(Only Statements, No Proofs to be done for exam)
TP Part 3-North West & LCM Method
TP-Part 4-VAM Method
(Not to be asked in exam)
TP-Part 5-Dual of Transportation Problem
TP-Part 6-UV Method for Optimal solution of TP
TP-Part 7-Unbalanced TP
TP-Part 8-Loop in TP
TP-Part 9- Maximization TP
TP-Part 10-Alternate Optimal Solution in TP
TP-Part 11-Restricted Transportation Problem
Assignment Problem:
AP-Part 1
AP-part 2
Project Management:
Part-1-Introduction to Project mangement
Part -2-Network Drawing
Part -3-Earliest Time, Latest Time & Critical Path
Part-4-Float Time in Network
Part -5-Crashing/Scheduling of Project
Search Techniques:
Unimodal function & Steepest Descent Method
Multi-objective Prog Problem:
MOPP
(Onl
y Graphical method
)
NLPP:
Part-1
Part-2
Part-3
Part-4(KKT)
KKT Examples
For Syllabus see,
UMA035
Course Handout
Tutorial Sheets are available on
Tutorial Sheets
and for solutions click to
Solutions of Tutorial Sheets
More Practice Problems from book H A Taha-Operation Research:
Practice Set 1
, also refer exercise problem of from Book: Suresh Chandra et al. 'Numerical Optimization with Applications'
For Lab work
List of Experiments
,
Lab Manual
,
Reference Code for Lab Work:
Graphical Method
Basic Solutions
Simplex Method
Big M
Dual Simplex Method
LCM
Steepest Descent Method
Video lectures are avail
able on
Video Lectures
(UMA035)
Old
Exam Papers:
EST-Set A (2017-18)
Solutions
EST-Set B (2017-18)
Solutions
MST (2018-19)
Solutions
EST (2018-19)
Solutions
Sessional Quiz (2021-22)
MST Solution (2021-22) Even Semester
EST Solution (2021-22) Even Semester
MST (2022-23)
MST Solutions
EST (2022-23) Even Semester
MST (2023-24)
Solutions
EST (2023-24, Sem-II)
Solutions
MST (2024-25) Odd
Solutions
MST (2024-25) Even with Solutions
Last semester Handwritten notes:
1
Introduction & Formulations
,
Graphical Method
2.
Slack/surplus/Standard Form/Basic Solutions
Part 1-Hyperplane, Half Spaces, Polyheron, convex sets, Fundamental Theorem of LPP
Part 2- Convex Sets
Part 3- Convex Sets, Extreme Points/ Vertex, & Fundamental Theorem of LPP
4.
Simplex Method-Introduction & Algorithm
5.
Big-M Method for LPP
6.
Two-Phase Method for LPP
7.
Exceptional Cases (Unbounded/Infeasible/Infinite Solutions/Some other related examples
8 Duality :
PART-1
PART-2
PART-3
9. Sensitivity Analysis/Post Optimality Analysis
Part-1(cost Change)
Part-2 (Resource/Availability Change)
Part-3 (Change in Coefficient matrix)
Part-4 (Addition of Variable)
Part-5 (Addition of Constraint)
10 IPP:
Integer Programming Problem-Introduction
IPP-Branch & Bound Techniques
IPP-Gomory Constraint
IPP-Examples for Gomory Constaints/Fractional Cut
11 Transportation Problem:
TP-Part 1-
Introduction
TP-Part 2-Necessary & Sufficient Conditions
TP Part 3-North West & LCM Method
TP-Part 4-VAM Method
TP-Part 5-Dual of Transportation Problem
TP-Part 6-UV Method for Optimal solution of TP
TP-Part 7-Unbalanced TP
TP-Part 8-Loop in TP
TP-Part 9- Maximization TP
TP-Part 10-Alternate Optimal Solution in TP
TP-Part 11-Restricted Transportation Problem
12. Assignment Problem:
AP-Part 1
AP-part 2
13. Project Management:
Part-1-Introduction to Project mangement
Part -2-Network Drawing
Part -3-Earliest Time, Latest Time & Critical Path
Part-4-Float Time in Network
Part -5-Crashing/Scheduling of Project
14.
Search Techniques:
Unimodal function & Steepest Descent Method
15.
Multiobjective Prog Problem:
MOPP
16. NLPP:
Part-1
Part-2
Part-3
Part-4(KKT)
KKT Examples
14. Game Theory :
(Not in syllabus of UMA035)
Game Theory-Lecture 1
Game Theory-Lecture 2
Game Theory-Lecture 3
Game Theory-Lecture 4
Game Theory-Lecture 5
15. Goal Programming:
Notes
(Not in syllabus of UMA035)
16. Queueing Theory:
Notes
(Not in syllabus of UMA035)
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