B.E. (Automobile Engineering) Optimization Techniques Syllabus - Mumbai University 2026
The University has moved this degree onto NEP 2020 one year at a time. The first and second years are NEP 2020 syllabi; the third and fourth years are still examined on the REV-2019 'C' Scheme, which is what the University sets for them this year.
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Syllabus for Optimization Techniques
Definitions, Optimality Criteria for Unconstrained Optimization, Optimality Criteria for Constrained Optimization, Engineering
Module 1
- Application of Optimization, Classification of Optimization Problems. Classical Optimization Techniques: Single variable optimization Linear Programming Problem: Formulation, Simplex method, Big M Method, Two Phase, Primal to Dual, Dual Simplex method, Sensitivity
Module 2: Analysis and applications of LP Transportation and Assignment Models. Integer Programming Model: Gomory's cutting plane method, Branch & Bound Technique.
- Non L.P. Model: Lagrangian method & Kuhn tucker Method, Newton's
Module 3: method.
- Discrete Event Simulation: Generation of Random Variable, Simulation Processes, Monte-Carlo Technique. University of Mumbai , Rev 2019 21
Reproduced from the University of Mumbai syllabus for B.E. (Automobile Engineering) under REV-2019 'C' Scheme, in force from the academic year 2021-22. Wording is as printed in that syllabus. Module numbering is as printed there too.
The complete syllabus
This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.