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Course Detail

Course Name Computational Optimization
Course Code 25MA734
Program M.Tech. Wireless Networks & Applications (Specialising in IoT, AI, 5G, Blockchain) (For Working Professionals & Regular Students)
Credits 3
Campus Amritapuri

Syllabus

Syllabus

Introduction- mathematical optimization, least-squares and linear programming, convex and nonlinear optimization, Convex sets, Steepest Descent, Newton’s Method, Linear optimization, Quadratic optimization, Generalized inequality constraints, Integer programming, Combinatorial optimization, Dynamic programming, Genetic Algorithms for optimization 

Laboratory: Introduction to Optimization in wireless networks, Background, Optimization problems for networks with infrastructure: Mathematical programming models for third generation wireless network design, Optimization based WLAN modeling and design; Optimization problems in Adhoc networks, Optimization problems in the operation of Wireless Networks, Optimization of Wireless Broadband Systems. 

Objectives and Outcomes

Course Outcome Statement (CO) 

CO1 

 Introduce the optimization techniques using both linear and non-linear programming.  

CO3 

Effective learning of computational procedures to solve optimization problems. 

CO4 

Frame engineering minima maxima problems in the framework of optimization problems. 

Text Books / References

  1. S. S. Rao, “Optimization Theory and Applications”, Second Edition, New Age International  (P) Limited, 1995.  
  2. Kalyanmoy Deb, “Optimization for Engineering Design Algorithms and Examples”, Prentice Hall of India, 2004.  
  3. Jeff Kennington and Eli Olinick, “Wireless Network Design: Optimization Models and Solution Procedures”, Springer, 2011.  
  4. Edwin K. P., Chong and Stanislaw H. Zak, “An Introduction to Optimization”, Second Edition, Wiley-Interscience Series in Discrete Mathematics and Optimization, 2004.  
  5. M. AsgharBhatti, “Practical Optimization Methods: With Mathematical Applications”, Springer Verlag, 2000.  

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