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
 

Contact us

G. Ram Mohana Reddy

Professor and Head,
Department of Information Technology, NITK, Surathkal,
P. O. Srinivasnagar, Mangalore - 575 025
Karnataka, India.
Ph.:    +91-824-2474056
Email:  infotech[AT]nitk[DOT]ac[DOT]in
            infotech[AT]nitk[DOT]edu[DOT]in

Sowmya Kamath S (Web Admin)

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