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001 978-0-387-88670-1
003 DE-He213
005 20140220084456.0
007 cr nn 008mamaa
008 100427s2010 xxu| s |||| 0|eng d
020 _a9780387886701
_9978-0-387-88670-1
024 7 _a10.1007/978-0-387-88670-1
_2doi
050 4 _aQA315-316
050 4 _aQA402.3
050 4 _aQA402.5-QA402.6
072 7 _aPBKQ
_2bicssc
072 7 _aPBU
_2bicssc
072 7 _aMAT005000
_2bisacsh
072 7 _aMAT029020
_2bisacsh
082 0 4 _a515.64
_223
100 1 _aHendrix, Eligius M.T.
_eauthor.
245 1 0 _aIntroduction to Nonlinear and Global Optimization
_h[electronic resource] /
_cby Eligius M.T. Hendrix, Boglárka G.-Tóth.
264 1 _aNew York, NY :
_bSpringer New York,
_c2010.
300 _aXI, 208 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Optimization and Its Applications,
_x1931-6828 ;
_v37
505 0 _aMathematical modeling, cases -- NLP optimality conditions -- Goodness of optimization algorithms -- Nonlinear Programming algorithms -- Deterministic GO algorithms -- Stochastic GO algorithms.
520 _aThis self-contained text provides a solid introduction to global and nonlinear optimization, providing students of mathematics and interdisciplinary sciences with a strong foundation in applied optimization techniques. The book offers a unique hands-on and critical approach to applied optimization which includes the presentation of numerous algorithms, examples, and illustrations, designed to improve the reader’s intuition and develop the analytical skills needed to identify optimization problems, classify the structure of a model, and determine whether a solution fulfills optimality conditions. Key features of "Introduction to Nonlinear and Global Optimization": - Offers insights into relevant concepts such as "regions of attraction", "branch-and-bound", and "cross-cutting" methods as well as many other useful methodologies. -Exhibits numerical examples and exercises developing the reader’s familiarity with the terminology and algorithms that are frequently encountered in scientific literature. - Presents various heuristic and stochastic optimization techniques demonstrating how each be applied to a variety of models from biology, engineering, finance, chemistry, and economics. This book is intended to serve as a primary text in an advanced undergraduate or graduate course focusing on nonlinear and global optimization and requires an understanding of basic calculus and linear algebra.
650 0 _aMathematics.
650 0 _aGlobal differential geometry.
650 0 _aOperations research.
650 1 4 _aMathematics.
650 2 4 _aCalculus of Variations and Optimal Control, Optimization.
650 2 4 _aOperations Research, Mathematical Programming.
650 2 4 _aDifferential Geometry.
700 1 _aG.-Tóth, Boglárka.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387886695
830 0 _aSpringer Optimization and Its Applications,
_x1931-6828 ;
_v37
856 4 0 _uhttp://dx.doi.org/10.1007/978-0-387-88670-1
912 _aZDB-2-SMA
999 _c109848
_d109848