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Business optimization using mathemat...
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Kallrath, Josef.
Business optimization using mathematical programmingan introduction with case studies and solutions in various algebraic modeling languages /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Business optimization using mathematical programmingby Josef Kallrath.
其他題名:
an introduction with case studies and solutions in various algebraic modeling languages /
作者:
Kallrath, Josef.
出版者:
Cham :Springer International Publishing :2021.
面頁冊數:
xxxiv, 629 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Programming (Mathematics)
電子資源:
https://doi.org/10.1007/978-3-030-73237-0
ISBN:
9783030732370
Business optimization using mathematical programmingan introduction with case studies and solutions in various algebraic modeling languages /
Kallrath, Josef.
Business optimization using mathematical programming
an introduction with case studies and solutions in various algebraic modeling languages /[electronic resource] :by Josef Kallrath. - Second edition. - Cham :Springer International Publishing :2021. - xxxiv, 629 p. :ill. (some col.), digital ;24 cm. - International series in operations research & management science,v.3072214-7934 ;. - International series in operations research & management science ;v. 140..
Optimization: Using Models, Validating Models, Solutions, Answers -- From the Problem to its Mathematical Formulation -- Mathematical Solution Techniques -- Problems Solvable Using Linear Programming -- How Optimization is Used in Practice: Case Studies in Linear Programming -- Modeling Structures Using Mixed Integer Programming -- Types of Mixed Integer Linear Programming Problems -- Case Studies and Problem Formulations -- User Control of the Optimization Process and Improving Efficiency -- How Optimization is Used in Practice: Case Studies in Integer Programming -- Beyond LP and MILP Problems -- Mathematical Solution Techniques - The Nonlinear World -- Global Optimization in Practice -- Polylithic Modeling and Solution Approaches -- Cutting & Packing beyond and within Mathematical Programming -- The Impact and Implications of Optimization -- Concluding Remarks and Outlook.
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.
ISBN: 9783030732370
Standard No.: 10.1007/978-3-030-73237-0doiSubjects--Topical Terms:
184235
Programming (Mathematics)
LC Class. No.: HD30.28 / .K35 2021
Dewey Class. No.: 658.4033
Business optimization using mathematical programmingan introduction with case studies and solutions in various algebraic modeling languages /
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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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