MA51122: Non Linear Programming

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MA51122
Course name Non Linear Programming
Offered by Mathematics
Credits 4
L-T-P 3-1-0
Previous Year Grade Distribution
12
13
4
4
2
1


EX A B C D P F
Semester Spring


Syllabus

Syllabus mentioned in ERP

Prerequisite: Operations ResearchConvex set, Convex function, Generalized convex functions. Fritz John and Karush- Kuhn â Tucker optimality condition, duality, Convex programming problems, Quadratic programming, Fractional programming, Separable programming, Non linear integer programming. Constrained Optimization: One dimensional search methods, Multi-dimensional search methods. Unconstrained optimization: Conjugate gradient method, Generalized reduced gradient methods, Method of feasible direction.


Concepts taught in class

Student Opinion

How to Crack the Paper

Classroom resources

Additional Resources