LEADER 06090nam 22008415 450 001 9910299945503321 005 20200703101319.0 010 $a3-319-76192-7 024 7 $a10.1007/978-3-319-76192-3 035 $a(CKB)4100000004243696 035 $a(DE-He213)978-3-319-76192-3 035 $a(MiAaPQ)EBC6312442 035 $a(PPN)227406133 035 $a(EXLCZ)994100000004243696 100 $a20180502d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFundamentals of Optimization $eMethods, Minimum Principles, and Applications for Making Things Better /$fby Mark French 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XIV, 249 p. 246 illus., 170 illus. in color.) 311 $a3-319-76191-9 320 $aIncludes bibliographical references and index. 327 $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.-. 330 $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. 606 $aManufactures 606 $aAerospace engineering 606 $aAstronautics 606 $aTransportation engineering 606 $aTraffic engineering 606 $aEngineering economics 606 $aEngineering economy 606 $aQuality control 606 $aReliability 606 $aIndustrial safety 606 $aApplied mathematics 606 $aEngineering mathematics 606 $aManufacturing, Machines, Tools, Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/T22050 606 $aAerospace Technology and Astronautics$3https://scigraph.springernature.com/ontologies/product-market-codes/T17050 606 $aTransportation Technology and Traffic Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T23120 606 $aEngineering Economics, Organization, Logistics, Marketing$3https://scigraph.springernature.com/ontologies/product-market-codes/T22016 606 $aQuality Control, Reliability, Safety and Risk$3https://scigraph.springernature.com/ontologies/product-market-codes/T22032 606 $aMathematical and Computational Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T11006 615 0$aManufactures. 615 0$aAerospace engineering. 615 0$aAstronautics. 615 0$aTransportation engineering. 615 0$aTraffic engineering. 615 0$aEngineering economics. 615 0$aEngineering economy. 615 0$aQuality control. 615 0$aReliability. 615 0$aIndustrial safety. 615 0$aApplied mathematics. 615 0$aEngineering mathematics. 615 14$aManufacturing, Machines, Tools, Processes. 615 24$aAerospace Technology and Astronautics. 615 24$aTransportation Technology and Traffic Engineering. 615 24$aEngineering Economics, Organization, Logistics, Marketing. 615 24$aQuality Control, Reliability, Safety and Risk. 615 24$aMathematical and Computational Engineering. 676 $a519.3 700 $aFrench$b Mark$4aut$4http://id.loc.gov/vocabulary/relators/aut$0941095 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299945503321 996 $aFundamentals of Optimization$92536963 997 $aUNINA