Modelling in Mathematical Programming - Methodology and Techniques (Hardcover, 1st ed. 2021)

This book provides basic tools for learning how to model in mathematical programming, from models without much complexity to complex system models. It presents a unique methodology for the building of an integral mathematical model, as well as new techniques that help build under own criteria. It allows readers to structure models from the elements and variables to the constraints, a basic modelling guide for any system with a new scheme of variables, a classification of constraints and also a set of rules to model specifications stated as logical propositions, helping to better understand models already existing in the literature. It also presents the modelling of all possible objectives that may arise in optimization problems regarding the variables values. The book is structured to guide the reader in an orderly manner, learning of the components that the methodology establishes in an optimization problem. The system includes the elements, which are all the actors that participate in the system, decision activities that occur in the system, calculations based on the decision activities, specifications such as regulations, impositions or actions of defined value and objective criterion, which guides the resolution of the system.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	International Series in Operations Research & Management Science, 298
Release date:	November 2020
First published:	2021
Authors:	Jose Manuel Garcia Sanchez
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	284
Edition:	1st ed. 2021
ISBN-13:	978-3-03-057249-5
Categories:	Books > Business & Economics > Business & management > Management & management techniques > Operational research
LSN:	3-03-057249-8
Barcode:	9783030572495

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