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008			230118s2022 sz | s |||| 0|eng d
020			_a9783030844172
024	7		_a10.1007/978-3-030-84417-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA402.5 _b2022 EB
100	1		_aNg, Xian Wen _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686037
245	1	0	_aConcise Guide to Optimization Models and Methods : _bA Problem-Based Test Prep for Students _cby Xian Wen Ng
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XI, 122 páginas) _b50 ilustraciones, 26 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
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.
988			_aSpringer_Engineering_2022
650		7	_2embne _9145705 _aOptimización matemática
776	0	8	_iPrinted edition: _z9783030844165
776	0	8	_iPrinted edition: _z9783030844189
776	0	8	_iPrinted edition: _z9783030844196
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi-org.ezproxy.universidadeuropea.es/10.1007/978-3-030-84417-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2023 _dz _eIG _zSI