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Verlag: Cambridge University Press, 2021
ISBN 10: 1108831656 ISBN 13: 9781108831659
Sprache: Englisch
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ISBN 10: 1108831656 ISBN 13: 9781108831659
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ISBN 10: 1108831656 ISBN 13: 9781108831659
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In den WarenkorbZustand: Gut. Zustand: Gut | Seiten: 400 | Sprache: Englisch | Produktart: Bücher.
Verlag: Cambridge University Press, 2021
ISBN 10: 1108831656 ISBN 13: 9781108831659
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In den WarenkorbGebunden. Zustand: New. 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 sys.
Verlag: Cambridge University Press, 2021
ISBN 10: 1108831656 ISBN 13: 9781108831659
Sprache: Englisch
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Verlag: Cambridge University Press Aug 2021, 2021
ISBN 10: 1108831656 ISBN 13: 9781108831659
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In den WarenkorbBuch. Zustand: 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 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.
Verlag: Cambridge University Press CUP, 2021
ISBN 10: 1108831656 ISBN 13: 9781108831659
Sprache: Englisch
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ISBN 10: 0134924223 ISBN 13: 9780134924229
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In den WarenkorbPaperback. Zustand: Very Good. No Jacket. Missing dust jacket; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 2.98.
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In den WarenkorbHardcover. Zustand: Brand New. 200 pages. 9.50x7.25x0.50 inches. In Stock.
Verlag: Cambridge University Press, 2021
ISBN 10: 1108831656 ISBN 13: 9781108831659
Sprache: Englisch
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Verlag: Cambridge University Press, 2021
ISBN 10: 1108831656 ISBN 13: 9781108831659
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Verlag: Cambridge University Press, 2021
ISBN 10: 1108831656 ISBN 13: 9781108831659
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ISBN 10: 1108831656 ISBN 13: 9781108831659
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ISBN 10: 1108831656 ISBN 13: 9781108831659
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In den WarenkorbHardback. Zustand: 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 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.
Verlag: Cambridge University Press, Cambridge, 2021
ISBN 10: 1108831656 ISBN 13: 9781108831659
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: 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 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. 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Verlag: Cambridge University Press, GB, 2021
ISBN 10: 1108831656 ISBN 13: 9781108831659
Sprache: Englisch
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In den WarenkorbHardback. Zustand: 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 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.
Verlag: Cambridge University Press, GB, 2021
ISBN 10: 1108831656 ISBN 13: 9781108831659
Sprache: Englisch
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In den WarenkorbHardback. Zustand: 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 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.
Verlag: Cambridge University Press, 2021
ISBN 10: 1108831656 ISBN 13: 9781108831659
Sprache: Englisch
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Verlag: Cambridge University Press, GB, 2021
ISBN 10: 1108831656 ISBN 13: 9781108831659
Sprache: Englisch
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In den WarenkorbHardback. Zustand: 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 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.
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In den WarenkorbHardcover. Zustand: Brand New. 200 pages. 9.50x7.25x0.50 inches. In Stock.
Verlag: Cambridge University Press, 2021
ISBN 10: 1108831656 ISBN 13: 9781108831659
Sprache: Englisch
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In den Warenkorbpaperback. Zustand: New. In shrink wrap. Looks like an interesting title!
Verlag: Cambridge University Press, Cambridge, 2021
ISBN 10: 1108831656 ISBN 13: 9781108831659
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: 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 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. 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.