000			03023cam a22003737i 4500
999			_c6922 _d6922
001			18236852
005			20170510092733.0
008			140722s2013 enka b 001 0 eng d
010			_a 2012276502
020			_a9781849195430 (hbk.)
020			_a1849195439 (hbk.)
035			_a(OCoLC)ocn865160705
040			_aNLE _beng _cNLE _erda _dIUP _dOCLCO _dYDXCP _dCDX _dMUU _dDLC
042			_alccopycat
050	0	0	_aQA427 _b.B357 2013
082	0	4	_a621.39 _223 _bB.M.N 2013
100	1		_aBakr, Mohamed.
245	1	0	_aNonlinear optimization in electrical engineering with applications in MATLAB / _cMohamed Bakr.
260			_aStevenage : _bThe Institution of Engineering and Technology, _c2013.
264		1	_aStevenage : _bThe Institution of Engineering and Technology, _c2013.
300			_axiii, 308 p. : _billustrations ; _c25 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
505	0		_a1. Mathematical background -- 2. An introduction to linear programming -- 3. Classical optimization -- 4. One-dimensional optimization-line search -- 5. Derivative-free unconstrained techniques -- 6. First-order unconstrained optimization techniques -- 7. Second-order unconstrained optimization techniques -- 8. Constrained optimization techniques -- 9. Introduction to global optimization techniques -- 10. Adjoint sensitivity analysis.
520	3		_aNonlinear 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.--
630	0	0	_aMATLAB.
650		0	_aMathematical optimization.
650		0	_aNonlinear theories.
906			_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg
942			_2ddc _cBK