Advanced Optimization Techniques: Home
Introduction
This course is to present the basic mathematical tools to optimization Technique: Linear and integer programming (simplex methods )and non-linear optimization (quadratic program, Kuhn- Tucker conditions and search methods);Various methods for unconstrained and Constrained Optimization problems are part of the course. The course work involves carry-home assignments requiring mathematical modeling and investigating optimal solutions to problems from industry, engineering and economics by using Mathematica / Matlab. Necessary guidance about Mathematica/ Matlab will be provided in the class / tutorial session
Level
Postgraduate
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