000			nam a22 7a 4500
999			_c29340 _d29340
008			190219b xxu||||| |||| 00| 0 eng d
020			_a9783319761916
082			_a519.6 _bFRE
100			_aFrench, Mark
245			_aFundamentals of optimization : methods, minimum principles, and applications for making things better
260			_aCham : _bSpringer, _c2018
300			_axiv, 249 p. : _bill. ; _c24 cm.
365			_aEURO _b69.99
504			_aIncludes bibliographical references and index.
520			_a This textbook is for readers new or returning to the practice of optimization whose interest in the subject may relate to a wide range of products and processes. Rooted in the idea of "minimum principles," the book introduces the reader to the analytical tools needed to apply optimization practices to an array of single- and multi-variable problems. While comprehensive and rigorous, the treatment requires no more than a basic understanding of technical math and how to display mathematical results visually. It presents a group of simple, robust methods and illustrates their use in clearly-defined examples. Distinct from the majority of optimization books on the market intended for a mathematically sophisticated audience who might want to develop their own new methods of optimization or do research in the field, this volume fills the void in instructional material for those who need to understand the basic ideas. The text emerged from a set of applications-driven lecture notes used in optimization courses the author has taught for over 25 years. The book is class-tested and refined based on student feedback, devoid of unnecessary abstraction, and ideal for students and practitioners from across the spectrum of engineering disciplines. It provides context through practical examples and sections describing commercial application of optimization ideas, such as how containerized freight and changing sea routes have been used to continually reduce the cost of moving freight across oceans. It also features 2D and 3D plots and an appendix illustrating the most widely used MATLAB optimization functions. Facilitates a solid grasp of the core concepts in optimization for students with no more than a background in basic technical math (derivatives); Maximizes reader understanding by focusing on a select group of simple, robust methods; Reinforces concepts with many numerical examples done in MathCAD clearly showing the intermediate calculations along with final results; Provides context through practical examples, including discussions of how optimization is used in commercial applications; Illustrates results graphically.
650			_aMathematical optimization
650			_aEngineering
650			_aAerospace engineering
650			_aAstronautics
650			_aEngineering economy
650			_aQuality control
650			_aIndustrial engineering
650			_aIndustrial safety
650			_aTraffic engineering
650			_aTransportation engineering
650			_aMaterials treatment
650			_aOperating procedures
942			_2ddc _cBK