Advanced optimization process systems de grossmann ignacio (13 resultados)
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Condición: New. 2021. Hardcover. . . . . .
Idioma: Inglés
Editorial: Cambridge Univ Pr, 2021
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Hardcover. Condición: Brand New. 200 pages. 9.50x7.25x0.50 inches. In Stock.
Idioma: Inglés
Editorial: Cambridge University Press, 2021
Serie: Libro 32 de 36 - Cambridge Series in Chemical Engineering
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Idioma: Inglés
Editorial: Cambridge University Press, GB, 2021
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Hardback. Condición: New. 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 di…sjunctive 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.
Idioma: Inglés
Editorial: Cambridge University Press, Cambridge, 2021
Serie: Libro 32 de 36 - Cambridge Series in Chemical Engineering
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Hardcover. Condición: new. Hardcover. 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 ge…neralized 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. A unique text covering basic and advanced concepts of optimization theory and methods for process systems engineers. With examples illustrating key concepts and algorithms, and exercises involving theoretical derivations, numerical problems and modeling systems, it is ideal for single-semester, graduate courses in process systems engineering. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Editorial: Cambridge University Press, 2021
Serie: Libro 32 de 36 - Cambridge Series in Chemical Engineering
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Condición: New. 2021. Hardcover. . . . . . Books ship from the US and Ireland.
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Editorial: Cambridge University Press Mai 2021, 2021
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Buch. Condición: Neu. Neuware - 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 generali…zed 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.
Idioma: Inglés
Editorial: Cambridge Univ Pr, 2021
Serie: Libro 32 de 36 - Cambridge Series in Chemical Engineering
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Hardcover. Condición: Brand New. 200 pages. 9.50x7.25x0.50 inches. In Stock.
Idioma: Inglés
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Serie: Libro 32 de 36 - Cambridge Series in Chemical Engineering
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EUR 122,40
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Buch. Condición: Neu. Advanced Optimization for Process Systems Engineering | Ignacio E. Grossmann | Buch | Gebunden | Englisch | 2021 | Cambridge University Press | EAN 9781108831659 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Idioma: Inglés
Editorial: Cambridge University Press, GB, 2021
Serie: Libro 32 de 36 - Cambridge Series in Chemical Engineering
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Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
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Hardback. Condición: New. 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 di…sjunctive 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.
