Uncertainty quantification and stochastic modelling with EXCEL

by Cursi, Eduardo Souza de

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Title Statements

Full title :Uncertainty quantification and stochastic modelling with EXCEL / Eduardo Souza de Cursi.

Summary

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.

Edition Statements

Publication Date:©2022

Publication Statements

Publisher(s):Springer
Place of Publication:Cham
Language:eng
Publication Date:©2022

The Physical Object

Description:1 online resource : : illustrations (chiefly color).

Edition Identifiers

ISBN:9783030777579, 303077757X
DOI:10.1007/978-3-030-77757-9
oclc:on1295215305
LC Classification:QA274
Dewey Decimal:519.2

Chapter 1: Some tips to use EXCEL -- Chapter 2: Some useful Numerical Methods -- Chapter 3: Probabilities with EXCEL -- Chapter 4: Stochastic Processes -- Chapter 5: Representation of Random Variables -- Chapter 6: Uncertain Algebraic Equations -- Chapter 7: Random Differential Equations -- Chapter 8: UQ in Game Theory -- Chapter 9: Optimization under uncertainty -- Chapter 10: Reliability -- Bibliography -- Index.