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02573aam a2200361Ii 4500 001 4EBD4BA6DCB911EC8436229451ECA4DB 003 SILO 005 20220526010039 008 201119t20212021enka b 001 0 eng d 020 $a 1108831656 020 $a 9781108831659 035 $a (OCoLC)1222897021 040 $a YDX $b eng $e rda $c YDX $d UKMGB $d OCLCO $d OCLCF $d YDX $d OCLCO $d PUL $d SILO 050 4 $a TP155.75 $b .G76 2021 082 04 $a 660/.2815 $2 23 100 1 $a Grossmann, Ignacio E., $e author. 245 10 $a Advanced optimization for process systems engineering / $c Ignacio E. Grossmann. 264 1 $a Cambridge ; $b Cambridge University Press, $c 2021. 300 $a xiv, 190 pages ; $c 26 cm. 490 1 $a Cambridge series in chemical engineering 504 $a Includes bibliographical references and index. 520 $a Based on the author's forty years of teaching experience, this unique textbook covers both basic and advanced concepts of optimization theory and methods for process systems engineers. Topics covered include continuous, discrete and logic optimization (linear, nonlinear, mixed-integer and generalized disjunctive programming), optimization under uncertainty (stochastic programming and flexibility analysis), and decomposition techniques (Lagrangean and Benders decomposition). Assuming only a basic background in calculus and linear algebra, it enables easy understanding of mathematical reasoning, and numerous examples throughout illustrate key concepts and algorithms. End-of-chapter exercises involving theoretical derivations and small numerical problems, as well as in modeling systems like GAMS, enhance understanding and help put knowledge into practice. Accompanied by two appendices containing web links to modeling systems and models related to applications in PSE, this is an essential text for single-semester, graduate courses in process systems engineering in departments of chemical engineering. 650 0 $a Chemical process control $x Mathematical models. 650 0 $a Chemical process control $x Automation. 650 0 $a Mathematical optimization. 650 7 $a Chemical process control $x Automation. $2 fast $0 (OCoLC)fst00853145 650 7 $a Chemical process control $x Mathematical models. $2 fast $0 (OCoLC)fst00853151 650 7 $a Mathematical optimization. $2 fast $0 (OCoLC)fst01012099 776 08 $i ebook version : $z 9781108917834 830 0 $a Cambridge series in chemical engineering. 941 $a 1 952 $l OVUX522 $d 20231117023026.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=4EBD4BA6DCB911EC8436229451ECA4DBInitiate Another SILO Locator Search