000			01302 a2200229 4500
005			20251211130307.0
008			251211b2005|||||||| |||| 00| 0 eng d
020			_a9781842651964
041			_aEnglish
082			_a519.6 J67
100			_aJoshi, M.C. _eAuthor _97559
100			_aMoudgalya, Kannan N. _eCo-Author _97560
245			_aOptimization: theory and practice
250			_a2nd ed.
260			_bAlpha Science International Ltd., _c2004. _aUK:
300			_axvii, 325p.; 19cms.
500			_aOptimization: Theory and Practice is ideally suited for a first course on optimization. It gives a detailed mathematical exposition to various optimization techniques. The presentation style retains abstract flavor of the mathematical framework as well as applicability potential of techniques, thereby making the text useful to both scientists and engineers. Table of Contents • Mathematical Preliminaries • One-Dimensional Optimization • Unconstrained Nonlinear Optimization-Gradient Based • Linear programming ' • Constrained Nonlinear Optimization '/ 'Evolutionary Methods
650			_aUnconstrained gradient based optimization methods _97561
650			_aMathematical Preliminaries -- Linear Programming _97562
650			_aEvolutionary algorithms _97563
942			_cBK
999			_c1849 _d1849