Outline
• Part I: Crash course on convex analysis and convex optimization
• Part II: Quadratically constrained quadratic programs and semidefinite programming
• Part III: Semidefinite relaxation: Theory, and implications in practice
• Part IV: Applications and latest advances
– A. transmit beamforming
– B. advanced topics in transmit beamforming
– C. sensor network localization
• Conclusion
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