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Springer Business Optimization Using Mathematical Programming
Springer Business Optimization Using Mathematical Programming

Springer Business Optimization Using Mathematical Programming

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Business Optimization Using Mathematical ProgrammingAn Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages\nAuthor(s): Josef Kallrath\nFormat: Paperback\nPublisher: Springer Nature Switzerland AG, Switzerland\nImprint: Springer Nature Switzerland AG\nISBN-13: 9783030732394, 978-3030732394\nSynopsis\nThis 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 v.

Springer Business Optimization Using Mathematical Programming

Business Optimization Using Mathematical ProgrammingAn Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages\nAuthor(s): Josef Kallrath\nFormat: Paperback\nPublisher: Springer Nature Switzerland AG, Switzerland\nImprint: Springer Nature Switzerland AG\nISBN-13: 9783030732394, 978-3030732394\nSynopsis\nThis 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 v.

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