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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

Welcome to the Online Public Access Catalog (OPAC). This catalog provides you bibliographic information of print books available in all campus libraries of the University and provides you the facility of 2 types of searches; basic search and advance search to find the exact book or list of books you required.

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