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Business Optimization Using Mathematical by Kallrath Josef (25 results)
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Business Optimization Using Mathematical Programming: An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages ... Research & Management Science, 307)
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Business Optimization Using Mathematical Programming : An Introduction With Case Studies and Solutions in Various Algebraic Modeling Languages
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Business Optimization Using Mathematical Programming : An Introduction With Case Studies and Solutions in Various Algebraic Modeling Languages
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Business Optimization Using Mathematical Programming: An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages ... Research & Management Science, 307)
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Business Optimization Using Mathematical Programming : An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages
Published by Springer International Publishing, 2022
ISBN 10: 3030732398 ISBN 13: 9783030732394
Language: English
US$ 128.97
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a structured approach to formulate, model, and solve mathematical optimization problems for a wide range of real world situations. Among the problems covered are production, distribution and supply chain planning, scheduling, vehicle routing, as well as cutting stock, packing, and nesting. The optimization techniques used to solve the problems are primarily linear, mixed-integer linear, nonlinear, and mixed integer nonlinear programming. The book also covers important considerations for solving real-world optimization problems, such as dealing with valid inequalities and symmetry during the modeling phase, but also data interfacing and visualization of results in a more and more digitized world. The broad range of ideas and approaches presented helps the reader to learn how to model a variety of problems from process industry, paper and metals industry, the energy sector, and logistics using mathematical optimization techniques.
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Business Optimization Using Mathematical Programming : An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages
Published by Springer International Publishing, 2021
ISBN 10: 3030732363 ISBN 13: 9783030732363
Language: English
US$ 180.56
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a structured approach to formulate, model, and solve mathematical optimization problems for a wide range of real world situations. Among the problems covered are production, distribution and supply chain planning, scheduling, vehicle routing, as well as cutting stock, packing, and nesting. The optimization techniques used to solve the problems are primarily linear, mixed-integer linear, nonlinear, and mixed integer nonlinear programming. The book also covers important considerations for solving real-world optimization problems, such as dealing with valid inequalities and symmetry during the modeling phase, but also data interfacing and visualization of results in a more and more digitized world. The broad range of ideas and approaches presented helps the reader to learn how to model a variety of problems from process industry, paper and metals industry, the energy sector, and logistics using mathematical optimization techniques.
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Add to basketHardcover. Condition: Brand New. 2nd edition. 663 pages. 9.25x6.10x1.65 inches. In Stock.
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Business Optimization Using Mathematical Programming
Published by Springer International Publishing Sep 2022, 2022
ISBN 10: 3030732398 ISBN 13: 9783030732394
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a structured approach to formulate, model, and solve mathematical optimization problems for a wide range of real world situations. Among the problems covered are production, distribution and supply chain planning, scheduling, vehicle routing, as well as cutting stock, packing, and nesting. The optimization techniques used to solve the problems are primarily linear, mixed-integer linear, nonlinear, and mixed integer nonlinear programming. The book also covers important considerations for solving real-world optimization problems, such as dealing with valid inequalities and symmetry during the modeling phase, but also data interfacing and visualization of results in a more and more digitized world. The broad range of ideas and approaches presented helps the reader to learn how to model a variety of problems from process industry, paper and metals industry, the energy sector, and logistics using mathematical optimization techniques. 664 pp. Englisch.
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Business Optimization Using Mathematical Programming
Published by Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3030732398 ISBN 13: 9783030732394
Language: English
US$ 108.48
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book presents a structured approach to formulate, model, and solve mathematical optimization problems for a wide range of real world situations. Among the problems covered are production, distribution and supply chain planning, scheduling, vehicle r.
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Business Optimization Using Mathematical Programming
Published by Springer International Publishing Sep 2021, 2021
ISBN 10: 3030732363 ISBN 13: 9783030732363
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 180.56
Convert currencyUS$ 26.92 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a structured approach to formulate, model, and solve mathematical optimization problems for a wide range of real world situations. Among the problems covered are production, distribution and supply chain planning, scheduling, vehicle routing, as well as cutting stock, packing, and nesting. The optimization techniques used to solve the problems are primarily linear, mixed-integer linear, nonlinear, and mixed integer nonlinear programming. The book also covers important considerations for solving real-world optimization problems, such as dealing with valid inequalities and symmetry during the modeling phase, but also data interfacing and visualization of results in a more and more digitized world. The broad range of ideas and approaches presented helps the reader to learn how to model a variety of problems from process industry, paper and metals industry, the energy sector, and logistics using mathematical optimization techniques. 664 pp. Englisch.
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Business Optimization Using Mathematical Programming
Published by Springer International Publishing, 2021
ISBN 10: 3030732363 ISBN 13: 9783030732363
Language: English
US$ 149.72
Convert currencyUS$ 57.33 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a comprehensive introduction into business optimization from a mathematical programming perspectiveIncludes a large variety of case studies using linear programing, mixed integer linear programming and integer programming.
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Business Optimization Using Mathematical Programming
Published by Springer International Publishing, Springer International Publishing Sep 2021, 2021
ISBN 10: 3030732363 ISBN 13: 9783030732363
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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US$ 180.56
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Add to basketBuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a structured approach to formulate, model, and solve mathematical optimization problems for a wide range of real world situations. Among the problems covered are production, distribution and supply chain planning, scheduling, vehicle routing, as well as cutting stock, packing, and nesting. The optimization techniques used to solve the problems are primarily linear, mixed-integer linear, nonlinear, and mixed integer nonlinear programming. The book also covers important considerations for solving real-world optimization problems, such as dealing with valid inequalities and symmetry during the modeling phase, but also data interfacing and visualization of results in a more and more digitized world. The broad range of ideas and approaches presented helps the reader to learn how to model a variety of problems from process industry, paper and metals industry, the energy sector, and logistics using mathematical optimization techniques.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 664 pp. Englisch.
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