MA712
Course Name:
Optimization Techniques and Random Processes (MA712)
Programme:
M.Tech (IT)
Semester:
Second
Category:
Programme Core (PC)
Credits (L-T-P):
(4-0-0)4
Content:
Deterministic Models: Introduction and formulation of models, Linear Programming, Graphical Solution, Simplex method, Two-phase method, Big-M method, Duality in LP, transportation problems and Assignment problems. Probabilistic Models: Overview of Probability, Random Processes, Classification, Markov Chains, C-K equations, Ergodic chains, Poisson Processes, Birth and Death Processes, Queuing Theory, Basic concepts, M/M/1 and M/M/S queues, Reliability Theory, Concept of Hazard rate function, Bath-tub curve, MTTF and MTBF, System reliability for Series, Parallel and Mixed configurations.
References:
H. A.Taha, Operations Research - An Introduction, 8 th edition,2007,PHI.
F. S. Hillier and G.J. Lieberman, Introduction to Operations Research, Concepts and Cases, 8 th edition, 2010, TMH.
Department:
Information Technology