Advanced Optimization Techniques: Home

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

                  Postgraduate

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