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Applied Optimization Methods for Wireless Networks
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Table of Contents

1. Introduction; Part I. Methods for Optimal Solutions: 2. Linear programming and applications; 3. Convex programming and applications; 4. Design of polynomial-time exact algorithm; Part II. Methods for Near-Optimal and Approximation Solutions: 5. Branch-and-bound framework and application; 6. Reformulation-linearization technique and applications; 7. Linear approximation; 8. Approximation algorithm and its applications - part 1; 9. Approximation algorithm and its applications - part 2; Part III. Methods for Efficient Heuristic Solutions: 10. An efficient technique for mixed-integer optimization; 11. Metaheuristic methods; Part IV. Other Topics: 12. Asymptotic capacity analysis.

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Provides practical optimization techniques and modeling tips and tricks for solving challenging wireless networking problems.

About the Author

Y. Thomas Hou is a Professor in the Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia, USA. Yi Shi is a Research Scientist at Intelligent Automation Inc., Rockville, Maryland, USA and an Adjunct Assistant Professor in the Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia, USA. Hanif D. Sherali is a University Distinguished Professor Emeritus in the Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia, USA. He is an elected member of the US National Academy of Engineering.

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