Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Building and Solving Mathematical Programming Models : 50 Practical Examples, Hardback Book

Building and Solving Mathematical Programming Models : 50 Practical Examples Hardback

Part of the International Series in Operations Research & Management Science series

Hardback

Description

This book presents the construction and resolution of 50 practical optimization problems and covers an exceptionally wide range, including games-associated problems (Unblock Me, Sudokus), logistical problems, and problems concerning plant distribution, production, operations scheduling, management and resource allocation. The problems are divided into 5 difficulty levels.

Problems in the first few levels are focused on learning the model construction methodology, while those in the last level include complex optimization environments.

For each problem solution, the specific steps are illustrated, promoting reader comprehension. In addition, all the models are implemented in an optimization library, LINGO, their solutions have been analyzed and their correct construction has been verified.

The book also includes a simple guide to implementing models in LINGO in a straightforward manner and in any input data format (text files, spreadsheets or databases). As anideal companion to the author’s previously published work Modelling in Mathematical Programming, the book is intended as a basic tool for students of operations research, and for researchers in any advanced area involving mathematical programming.

Information

Other Formats

Save 12%

£99.99

£87.29

 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Information

Also in the International Series in Operations Research & Management Science series  |  View all