Uncertainty quantification and stochastic modelling with EXCEL / Eduardo Souza de Cursi.
2022
QA274 .S68 2022
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Details
Title
Uncertainty quantification and stochastic modelling with EXCEL / Eduardo Souza de Cursi.
ISBN
9783030777579 (electronic bk.)
303077757X (electronic bk.)
9783030777562
3030777561
303077757X (electronic bk.)
9783030777562
3030777561
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource : illustrations (chiefly color).
Item Number
10.1007/978-3-030-77757-9 doi
Call Number
QA274 .S68 2022
Dewey Decimal Classification
519.2
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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed February 11, 2022).
Series
Springer texts in business and economics.
Available in Other Form
Print version: 9783030777562
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Table of Contents
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.
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.