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710 2 _aSpringerLink (Online service)
_0http://id.loc.gov/authorities/names/no2005046756
_1http://viaf.org/viaf/274647764/
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020 _a9783319761923
024 7 _a10.1007/978-3-319-76192-3
_2doi
040 _bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA402.5
_b2018 EB
100 1 _aFrench, Mark,
_9673387
_d1963-
245 1 0 _aFundamentals of Optimization :
_bMethods, Minimum Principles, and Applications for Making Things Better
_cby Mark French
264 1 _aCham
_bSpringer International Publishing
_c2018
300 _a1 recurso en línea (XIV, 249 páginas)
_b246 ilustraciones, 170 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aEngineering (Springer-11647)
505 0 _aOptimization: The Big Ideas -- Getting Started in Optimization: Problems with a Single Variable -- Minimum Principles - Optimization in the Fabric of the Universe -- Problems with More Than One Variable -- Constraints - Placing Limits on the Solution -- General Conditions for Solving Optimization Problem - Karush Kuhn Tucker Conditions -- Discrete Variables -- Aerospace Applications -- Structural Optimization -- Multi-objective Optimization -- Appendix A - Calculus Refresher -- Appendix B - Test Functions -- Appendix C - Solving Optimization Problems using MATLAB.-.
520 3 _aThis 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.
988 _aEBSPRINGER_2018
650 7 _2embne
_9145705
_aOptimización matemática
650 7 _2embne
_aAstronáutica
_9138156
776 0 8 _iEdición impresa:
_z9783319761916
776 0 8 _iEdición impresa:
_z9783319761930
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-76192-3
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b04/2020
_dz
_eu
_zSI