Nonlinear optimization in electrical engineering with applications in MATLAB / [Book] / Mohamed Bakr.
Material type: TextDescription: xiii, 308 pages : illustrations (color) ; 24 cmISBN:- 9781849195447
- 9781849195430 (hardback)
- 1849195439 (hbk.)
- 621.39 23
- 621.39
Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|
Books | Junaid Zaidi Library, COMSATS University Islamabad 2nd Floor | 621.39 BAK-N (Browse shelf(Opens below)) | Available | 54885 |
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621.38456 RAD Radio over fiber technologies for mobile communications networks | 621.38456094 WIR Wireless flexible personalised communications COST 259, European co-operation in mobile radio research / | 621.3848 PRO Processing of synthetic aperture radar images / | 621.39 BAK-N Nonlinear optimization in electrical engineering with applications in MATLAB / | 621.3916 MAL-D Digital computer electronics | 621.392 ASH-D The designer's guide to VHDL | 621.392 BHA-V A VHDL primer / |
Nonlinear Optimization in Electrical Engineering with Applications in MATLAB provides an introductory course on nonlinear optimization in electrical engineering, with a focus on applications including the design of electric, microwave and photonic circuits, wireless communications and digital filter design. Basic concepts are introduced using a step-by-step approach featuring a variety of practical electrical engineering-related examples and illustrated with MATLAB codes that the reader can use and adapt. Topics covered include classical optimization methods, one dimensional optimization, unconstrained optimization, constrained optimization, global optimization, space mapping optimization, and adjoint variable methods. Basic concepts are introduced using a step-by-step approach; features a variety of practical electrical engineering-related examples; illustrated with MATLAB codes that the reader can use and adapt; topics covered include: classical optimization methods, one dimensional optimization, unconstrained optimization, constrained optimization, global optimization, space mapping optimization and adjoint variable methods.It will be essential reading for advanced students in electrical engineering and will also interest electrical engineering professionals.-- Source other than Library of Congress.
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