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Springer Business Optimization Using Mathematical Programming

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Description

Master the art of mathematical modeling with this comprehensive guide from Springer. This book provides a structured approach to formulating and solving optimization problems for real-world scenarios. You will learn to navigate production, distribution, and supply chain planning, along with scheduling, vehicle routing, and cutting stock problems. The text covers essential techniques including linear, mixed-integer linear, nonlinear, and mixed integer nonlinear programming. Beyond basic theory, it addresses practical considerations like dealing with valid inequalities and symmetry. This resource is designed for those needing to apply mathematical programming to complex management science and research challenges through detailed case studies and solutions in various algebraic modeling languages.

Key Features

Covers a wide range of real-world applications including production, distribution, and supply chain planning.

Provides solutions for complex logistics problems such as vehicle routing, scheduling, and packing.

Explores multiple optimization techniques including linear, mixed-integer linear, and nonlinear programming.

Includes detailed case studies and solutions using various algebraic modeling languages.

Addresses practical problem-solving considerations like valid inequalities and symmetry.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
02 September 2022
Listed Since
05 August 2022

Barcode

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