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000839058 019__ $$a1036731936
000839058 020__ $$a9783319761923$$q(electronic book)
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000839058 0247_ $$a10.1007/978-3-319-76192-3$$2doi
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000839058 035__ $$aSP(OCoLC)1034554738$$z(OCoLC)1036731936
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000839058 08204 $$a519.6$$223
000839058 1001_ $$aFrench, Mark,$$eauthor.
000839058 24510 $$aFundamentals of Optimization :$$bMethods, Minimum Principles, and Applications for Making Things Better /$$cMark French.
000839058 264_1 $$aCham :$$bSpringer,$$c2018.
000839058 300__ $$a1 online resource (xiv, 249 pages) :$$billustrations.
000839058 336__ $$atext$$btxt$$2rdacontent
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000839058 5050_ $$aOptimization: The Big Ideas -- Getting Started in Optimization: Problems with a Single Variable -- Minimum Principles -- Optimization in the Fabric of the Universe -- Problems with More Than One Variable -- Constraints - Placing Limits on the Solution -- General Conditions for Solving Optimization Problem - Karush Kuhn Tucker Conditions -- Discrete Variables -- Aerospace Applications -- Structural Optimization -- Multi-objective Optimization -- Appendix A -- Calculus Refresher -- Appendix B -- Test Functions -- Appendix C -- Solving Optimization Problems using MATLAB.-.
000839058 506__ $$aAccess limited to authorized users.
000839058 520__ $$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.
000839058 650_0 $$aMathematical optimization.
000839058 650_0 $$aEngineering.
000839058 650_0 $$aAerospace engineering.
000839058 650_0 $$aAstronautics.
000839058 650_0 $$aEngineering economy.
000839058 650_0 $$aQuality control.
000839058 650_0 $$aReliability.
000839058 650_0 $$aIndustrial safety.
000839058 650_0 $$aIndustrial engineering.
000839058 650_0 $$aTransportation engineering.
000839058 650_0 $$aTraffic engineering.
000839058 77608 $$iPrint version: $$z9783319761916
000839058 852__ $$bebk
000839058 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-76192-3$$zOnline Access$$91397441.1
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