Optimization for Communications and Networks
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A01=Poompat Saengudomlert
advanced network optimization methods
algorithm
Augmented Lagrangian
Author_Poompat Saengudomlert
branch and bound method
Candidate Paths
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Category=UYF
Convex Optimization
Convex Optimization Problem
Convex Set
Current BFS
Dual Simplex Algorithm
duality
Duality for Integer Linear Optimization
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Feasible Set
Initial BFS
Integer Constraints
Integer Linear Optimization
Integer Point
lagrangian
Lagrangian Optimality
linear
Linear Optimization
Linear Optimization Problems
mathematical programming
minimum
Minimum Cost Routing
Minimum Delay Routing
network resource allocation
Nonbasic Variables
Optimal Cost
Optimal Primal Solution
Positive Semi-definite
Related Mathematics
relaxation
Relaxed Problem
sensitivity analysis techniques
simplex
Simplex Algorithm
strong
Topology Design Problem
transmit
transmit power optimization
unconstrained
Vector Space
WDM Network
wireless sensor networks
Product details
- ISBN 9781578087242
- Weight: 430g
- Dimensions: 156 x 234mm
- Publication Date: 22 Sep 2011
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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This book provides an introduction to optimization theory and its applications. It is written for senior undergraduate students and first-year graduate students of telecommunication and related fields. Most applications pertain to communication and network problems. The book has practical examples to accompany rigorous discussion so that the reader may develop intuitive understanding on relevant concepts. The materials have been developed from course notes. By attempting to cover convex, linear, and integer optimization for a one-semester course, the author focuses on fundamental concepts and techniques rather than trying to be comprehensive. Infact, the book is written with the main intention to serve as a bridge for students with no prior background in optimization to be able to access more advanced books on the subject later on.
Saengudomlert\, Poompat
