000			02969nam a22005415i 4500
999			_c200457774 _d75986
003			TR-AnTOB
005			20231115144717.0
007			cr nn 008mamaa
008			211124s2022 sz | s |||| 0|eng d
020			_a9783030844172
024	7		_a10.1007/978-3-030-84417-2 _2doi
040			_aTR-AnTOB _beng _erda _cTR-AnTOB
041			_aeng
050		4	_aQA402.5
072		7	_aTGP _2bicssc
072		7	_aTEC009060 _2bisacsh
072		7	_aTGP _2thema
090			_aQA402.5EBK
100	1		_aNg, Xian Wen. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aConcise Guide to Optimization Models and Methods _h[electronic resource] : _bA Problem-Based Test Prep for Students / _cby Xian Wen Ng.
250			_a1st ed. 2022.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2022.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aChapter1: Basic Concepts, Lagrangian Methods and Linear Programming Problems -- Chapter2: Non-linear Programming Problems with Constraints and Euler’s Methods -- Chapter3: Complex Optimization Problems.
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.
650		0	_aIndustrial engineering.
650		0	_aProduction engineering.
650		0	_aMathematical optimization.
650		0	_aComputer simulation.
650		0	_aIndustrial Management.
650	1	4	_aIndustrial and Production Engineering.
650	2	4	_aOptimization.
650	2	4	_aComputer Modelling.
650	2	4	_aIndustrial Management.
650	2	4	_aProcess Engineering.
653		0	_aMathematical optimization
710	2		_aSpringerLink (Online service)
856	4	0	_uhttps://doi.org/10.1007/978-3-030-84417-2 _3Springer eBooks _zOnline access link to the resource
942			_2lcc _cEBK