| 书目名称 | Uncertainty Quantification and Stochastic Modelling with EXCEL | | 编辑 | Eduardo Souza de Cursi | | 视频video | | | 概述 | 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-object | | 丛书名称 | Springer Texts in Business and Economics | | 图书封面 |  | | 描述 | .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.. | | 出版日期 | Textbook 2022 | | 关键词 | Uncertainty quantification; Excel; Stochastics; Stochastic modelling; Numerical methods; Linear programmi | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-77757-9 | | isbn_ebook | 978-3-030-77757-9Series ISSN 2192-4333 Series E-ISSN 2192-4341 | | issn_series | 2192-4333 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 18:08:00
