000			04115nam a2200457 a 4500
001			1776131
003			OSt
005			20190522142829.0
008			960111s1996 nyua b 001 0 eng
010			_a 96004982
020			_a9780470183526
035			_a(OCoLC)34077376
035			_a(OCoLC)ocm34077376
035			_a(NNC)1776131
040			_aDLC _cAU _dDLC _dOrLoB-B
050	0	0	_aTA342 _b.R36 1996
082	0	0	_a620/.001/5197 _220
100	1		_aRao, S. S. _92389
245	1	0	_aEngineering optimization _btheory and practice _cSingiresu S. Rao.
260			_aNew York _bWiley, _c1996.
300			_axxii, 903 p. _bill. ; _c24 cm.
500			_a"A Wiley-Interscience publication."
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. _92390
650		0	_aMathematical optimization. _92391
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990			_aTA
999			_c12005 _d12005