Overview
- Introduces uncertainty quantification techniques to professionals, researchers and students who use Excel as a computational tool
- Applies methods such as linear and nonlinear programming, multi-objective optimization, and game theory to economics, business administration, and civil engineering
- Offers a selection of numerical methods developed specifically for Excel
Part of the book series: Springer Texts in Business and Economics (STBE)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book presents techniques for determining uncertainties in numerical solutions with applications in the fields of business administration, civil engineering, and economics, using Excel as a computational tool. Also included are solutions to uncertainty problems involving stochastic methods. The list of topics specially covered in this volume includes linear and nonlinear programming, Lagrange multipliers (for sensitivity), multi objective optimization, and Game Theory, as well as linear algebraic equations, and probability and statistics. The book also provides a selection of numerical methods developed for Excel, in order to enhance readers’ understanding. As such, it offers a valuable guide for all graduate and undergraduate students in the fields of economics, business administration, civil engineering, and others that rely on Excel as a research tool.
Authors and Affiliations
About the author
Eduardo Souza De Cursi is a professor at the National Institute for Applied Sciences (INSA) in Rouen, France, where he serves as Dean of International Affairs and Director of the Laboratory of Mechanics of Normandy. He is also the Editor-in-Chief of "Computational and Applied Mathematics", a journal of the Brazilian Society of Computational and Applied Mathematics that is published with Springer. Prof. De Cursi holds a PhD in Sciences/Mathematics from the Université des Sciences et Techniques Du Languedoc, USTL, France, and has over 35 years’ experience in research, teaching and technology transfer.
Bibliographic Information
Book Title: Uncertainty Quantification and Stochastic Modelling with EXCEL
Authors: Eduardo Souza de Cursi
Series Title: Springer Texts in Business and Economics
DOI: https://doi.org/10.1007/978-3-030-77757-9
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-77756-2Published: 02 February 2022
eBook ISBN: 978-3-030-77757-9Published: 01 February 2022
Series ISSN: 2192-4333
Series E-ISSN: 2192-4341
Edition Number: 1
Number of Pages: XI, 531
Number of Illustrations: 165 b/w illustrations, 600 illustrations in colour
Topics: Operations Research/Decision Theory, Game Theory, Discrete Optimization, Game Theory, Economics, Social and Behav. Sciences, Probability Theory and Stochastic Processes