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Uncertainty quantification and stoch...

Cursi, Eduardo Souza de.

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Uncertainty quantification and stochastic modelling with EXCEL

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Uncertainty quantification and stochastic modelling with EXCEL/ by Eduardo Souza de Cursi.
作者:	Cursi, Eduardo Souza de.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xi, 531 p. :ill. (chiefly col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Uncertainty - Mathematical models. -
電子資源:	https://doi.org/10.1007/978-3-030-77757-9
ISBN:	9783030777579

Uncertainty quantification and stochastic modelling with EXCEL
Cursi, Eduardo Souza de.

Uncertainty quantification and stochastic modelling with EXCEL[electronic resource] /by Eduardo Souza de Cursi. - Cham :Springer International Publishing :2022. - xi, 531 p. :ill. (chiefly col.), digital ;24 cm. - Springer texts in business and economics,2192-4341. - Springer texts in business and economics..

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.

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.

ISBN: 9783030777579

Standard No.: 10.1007/978-3-030-77757-9doiSubjects--Uniform Titles:

Microsoft Excel (Computer file)
Subjects--Topical Terms:

648813
Uncertainty
--Mathematical models.

LC Class. No.: QA274 / .S68 2022

Dewey Class. No.: 519.2

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