Optimal training sequence for MIMO wireless systems in colored environments
IEEE Transactions on Signal Processing
Storage-efficient quasi-Newton algorithms for image super-resolution
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
MoCap-based camera tracking for VFX
ICACT'10 Proceedings of the 12th international conference on Advanced communication technology
Design methodology for nearly linear-phase recursive digital filters by constrained optimization
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Minimax design of low-complexity allpass variable fractional-delay digital filters
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Key color priority based image recoloring for dichromats
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
Two-dimensional digital filters with sparse coefficients
Multidimensional Systems and Signal Processing
A fast approach to deformable surface 3D tracking
Pattern Recognition
CFD optimization for GDI spray model tuning and enhancement of engine performance
Advances in Engineering Software
Common diagonal Lyapunov function for third order linear switched system
Journal of Computational and Applied Mathematics
Mathematical and Computer Modelling: An International Journal
A coevolutionary minimax algorithm for the detection of nash equilibrium
SIDE'12 Proceedings of the 2012 international conference on Swarm and Evolutionary Computation
A new design method using opposition-based BAT algorithm for IIR system identification problem
International Journal of Bio-Inspired Computation
Wireless Personal Communications: An International Journal
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Practical Optimization: Algorithms and Engineering Applications provides a hands-on treatment of the subject of optimization. A comprehensive set of problems and exercises makes the book suitable for use in one or two semesters of a first-year graduate course or an advanced undergraduate course. Each half of the book contains a full semesters worth of complimentary yet stand-alone material. The practical orientation of the topics chosen and a wealth of useful examples also make the book suitable as a reference work for practitioners in the field. Advancements in the efficiency of digital computers and the evolution of reliable software for numerical computation during the past three decades have led to a rapid growth in the theory, methods, and algorithms of numerical optimization. This body of knowledge has motivated widespread applications of optimization methods in many disciplines, e.g., engineering, business, and science, and has subsequently led to problem solutions that were considered intractable not too long ago. Key Features: extensively class-tested provides a complete teaching package with MATLAB exercises and online solutions to end-of-chapter problems includes recent methods of emerging interest such as semidefinite programming and second-order cone programming presents a unified treatment of unconstrained and constrained optimization uses a practical treatment of optimization accessible to broad audience, from college students to scientists and industry professionals provides a thorough appendix with background theory so non-experts can understand how applications are solved from point of view of optimization