000			03968fam a2200421 a 4500
001			1776131
003			Nust- CAS-E
005			20180118181410.0
008			960111s1996 nyua b 001 0 eng
010			_a 96004982
020			_a0471550345 (acidfree paper)
035			_a(OCoLC)34077376
035			_a(OCoLC)ocm34077376
035			_a(NNC)1776131
040			_aDLC _cDLC _dDLC _dOrLoB-B
050	0	0	_aTA342 _b.R36 1996
082	0	0	_a620.0015197 _220 _bRAO-E 2013
100	1		_aRao, S. S.
245	1	0	_aEngineering optimization : _btheory and practice / _cSingiresu S. Rao.
260			_aNew York : _bWiley, _cc1996.
300			_axxii, 903 p. : _bill. ; _c24 cm.
500			_a"A Wiley-Interscience publication."
502			_a0
504			_aIncludes bibliographical references and index.
505	0	0	_g1. _tIntroduction to Optimization -- _g2. _tClassical Optimization Techniques -- _g3. _tLinear Programming I: Simplex Method -- _g4. _tLinear Programming II: Additional Topics and Extensions -- _g5. _tNonlinear Programming I: One-Dimensional Minimization Methods -- _g6. _tNonlinear Programming II: Unconstrained Optimization Techniques -- _g7. _tNonlinear Programming III: Constrained Optimization Techniques -- _g8. _tGeometric Programming -- _g9. _tDynamic Programming -- _g10. _tInteger Programming -- _g11. _tStochastic Programming -- _g12. _tFurther Topics in Optimization -- _g13. _tPractical Aspects of Optimization -- _tAppendix A Convex and Concave Functions -- _tAppendix B Some Computational Aspects of Optimization.
520			_aA rigorous mathematical approach to identifying a set of design alternatives and selecting the best candidate from within that set, engineering optimization was developed as a means of helping engineers to design systems that are both more efficient and less expensive and to develop new ways of improving the performance of existing systems.
520	8		_aThanks to the breathtaking growth in computer technology that has occurred over the past decade, optimization techniques can now be used to find creative solutions to larger, more complex problems than ever before. As a consequence, optimization is now viewed as an indispensable tool of the trade for engineers working in many different industries, especially the aerospace, automotive, chemical, electrical, and manufacturing industries.
520	8		_a.
520	8		_aIn Engineering Optimization, Professor Singiresu S. Rao provides an application-oriented presentation of the full array of classical and newly developed optimization techniques now being used by engineers in a wide range of industries.
520	8		_aEssential proofs and explanations of the various techniques are given in a straightforward, user-friendly manner, and each method is copiously illustrated with real-world examples that demonstrate how to maximize desired benefits while minimizing negative aspects of project design.
520	8		_aComprehensive, authoritative, up-to-date, Engineering Optimization provides in-depth coverage of linear and nonlinear programming, dynamic programming, integer programming, and stochastic programming techniques as well as several breakthrough methods, including genetic algorithms, simulated annealing, and neural network-based and fuzzy optimization techniques.
520	8		_aDesigned to function equally well as either a professional reference or a graduate-level text, Engineering Optimization features many solved problems taken from several engineering fields, as well as review questions, important figures, and helpful references.
520	8		_aEngineering Optimization is a valuable working resource for engineers employed in practically all technological industries. It is also a superior didactic tool for graduate students of mechanical, civil, electrical, chemical, and aerospace engineering.
650		0	_aEngineering _xMathematical models.
650		0	_aMathematical optimization.
942			_2ddc _cBK
999			_c355698 _d355698