Eduardo Souza de Cursi
Uncertainty Quantification and Stochastic Modelling with EXCEL
Uncertainty Quantification and Stochastic Modelling with EXCEL
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Excellent- More about Uncertainty Quantification and Stochastic Modelling with EXCEL
This book provides techniques for determining uncertainties in numerical solutions with applications in business administration, civil engineering, and economics, using Excel as a computational tool. It also covers linear and nonlinear programming, Lagrange multipliers, multi-objective optimization, Game Theory, linear algebraic equations, probability and statistics, and offers a selection of numerical methods developed for Excel. It is a valuable guide for graduate and undergraduate students in these fields.
Format: Hardback
Length: 531 pages
Publication date: 02 February 2022
Publisher: Springer Nature Switzerland AG
This comprehensive book offers a wealth of techniques for assessing uncertainties in numerical solutions, with applications in diverse fields such as business administration, civil engineering, and economics. By leveraging the power of Excel as a computational tool, readers can effectively handle complex uncertainty problems, including those involving stochastic methods. The book is organized into several chapters, each dedicated to a specific topic. Linear and nonlinear programming, Lagrange multipliers, multi-objective optimization, Game Theory, linear algebraic equations, probability and statistics, and numerical methods specifically designed for Excel are among the topics covered in detail.
Furthermore, the book provides solutions to uncertainty problems, enabling readers to gain a deeper understanding of the subject matter. Whether you are a graduate or undergraduate student pursuing a degree in economics, business administration, civil engineering, or any other field that relies on Excel as a research tool, this book is an invaluable resource. It offers a comprehensive guide that will enhance your understanding of uncertainty analysis and help you apply these techniques to real-world scenarios.
In conclusion, this book is a must-have for anyone interested in improving their skills in uncertainty analysis and applying them in practical situations. Its comprehensive coverage, practical examples, and user-friendly approach make it an ideal resource for students, professionals, and researchers alike.
Weight: 1208g
Dimension: 254 x 178 (mm)
ISBN-13: 9783030777562
Edition number: 1st ed. 2022
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