001442781 000__ 03070cam\a2200529\i\4500
001442781 001__ 1442781
001442781 003__ OCoLC
001442781 005__ 20230310003435.0
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001442781 008__ 211127s2022\\\\sz\a\\\\o\\\\\001\0\eng\d
001442781 019__ $$a1286385960$$a1286496874$$a1287129093$$a1294353508$$a1296667002
001442781 020__ $$a9783030844172$$q(electronic bk.)
001442781 020__ $$a303084417X$$q(electronic bk.)
001442781 020__ $$z9783030844165
001442781 020__ $$z3030844161
001442781 0247_ $$a10.1007/978-3-030-84417-2$$2doi
001442781 035__ $$aSP(OCoLC)1286422898
001442781 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCF$$dOCLCO$$dDCT$$dDKU$$dOCLCQ$$dOCLCO$$dOCLCQ
001442781 049__ $$aISEA
001442781 050_4 $$aQA402.5$$b.N4 2022
001442781 08204 $$a519.6$$223
001442781 1001_ $$aNg, Xian Wen,$$eauthor.
001442781 24510 $$aConcise guide to optimization models and methods :$$ba problem-based test prep for students /$$cXian Wen Ng.
001442781 264_1 $$aCham :$$bSpringer,$$c[2022]
001442781 264_4 $$c©2022
001442781 300__ $$a1 online resource :$$billustrations (some color)
001442781 336__ $$atext$$btxt$$2rdacontent
001442781 337__ $$acomputer$$bc$$2rdamedia
001442781 338__ $$aonline resource$$bcr$$2rdacarrier
001442781 347__ $$atext file
001442781 347__ $$bPDF
001442781 500__ $$aIncludes index.
001442781 5050_ $$aChapter1: Basic Concepts, Lagrangian Methods and Linear Programming Problems -- Chapter2: Non-linear Programming Problems with Constraints and Euler's Methods -- Chapter3: Complex Optimization Problems.
001442781 506__ $$aAccess limited to authorized users.
001442781 520__ $$aThis concise text contains the most commonly-encountered examination problems in the topic of Optimization Models and Methods, an important module in engineering and other disciplines where there exists an increasing need to operate optimally and sustainably under constraints, such as tighter resource availability, environmental consideration, and cost pressures. This book is comprehensive in coverage as it includes a diverse spectrum of problems from numerical open-ended questions that probe creative thinking to the relation of concepts to realistic settings. The book adopts many examples of design scenarios as context for curating sample problems. This will help students relate desktop problem-solving to tackling real-world problems. Succinct yet rigorous, with over a 100 pages of problems and corresponding worked solutions presented in detail, the book is ideal for students of engineering, applied science, and market analysis.
001442781 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 9, 2021).
001442781 650_0 $$aMathematical optimization.
001442781 650_6 $$aOptimisation mathématique.
001442781 655_0 $$aElectronic books.
001442781 77608 $$iPrint version:$$aNg, Xian Wen.$$tConcise guide to optimization models and methods.$$dCham : Springer, [2022]$$z3030844161$$z9783030844165$$w(OCoLC)1260190361
001442781 852__ $$bebk
001442781 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-84417-2$$zOnline Access$$91397441.1
001442781 909CO $$ooai:library.usi.edu:1442781$$pGLOBAL_SET
001442781 980__ $$aBIB
001442781 980__ $$aEBOOK
001442781 982__ $$aEbook
001442781 983__ $$aOnline
001442781 994__ $$a92$$bISE