Uncertainty Quantification and Stochastic Modelling with EXCEL / Springer Texts in Business and Economics (PDF)

Name: Uncertainty Quantification and Stochastic Modelling with EXCEL / Springer Texts in Business and Economics
Brand: Springer International Publishing
SKU: 141972581
Price: 142.00 CHF
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(Sprache: Englisch)

Autor: Eduardo Souza de Cursi

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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.

Autoren-Porträt von Eduardo Souza de Cursi

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.

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Bibliographische Angaben

Autor: Eduardo Souza de Cursi
2022, 1st ed. 2022, 531 Seiten, Englisch
Verlag: Springer International Publishing
ISBN-10: 303077757X
ISBN-13: 9783030777579
Erscheinungsdatum: 01.02.2022

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Grösse: 33 MB
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