Téléchargez le livre : Uncertainty Quantification using R

Uncertainty Quantification using R

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Éditeur :

Springer


Collection :

International Series in Operations Research & Management Science

Paru le : 2023-02-22

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Description

This book is a rigorous but practical presentation of the techniques of uncertainty quantification, with applications in R and Python. This volume includes mathematical arguments at the level necessary to make the presentation rigorous and the assumptions clearly established, while maintaining a focus on practical applications of uncertainty quantification methods. Practical aspects of applied probability are also discussed, making the content accessible to students. The introduction of R and Python allows the reader to solve more complex problems involving a more significant number of variables. Users will be able to use examples laid out in the text to solve medium-sized problems.   
The list of topics covered in this volume includes linear and nonlinear programming, Lagrange multipliers (for sensitivity), multi-objective optimization, game theory, as well as linear algebraic equations, and probability and statistics. Blending theoretical rigor and practical applications, this volume will be of interest to professionals, researchers, graduate and undergraduate students interested in the use of uncertainty quantification techniques within the framework of operations research and mathematical programming, for applications in management and planning.  
Pages
766 pages
Collection
International Series in Operations Research & Management Science
Parution
2023-02-22
Marque
Springer
EAN papier
9783031177842
EAN PDF
9783031177859
Informations sur l'ebook
Nombre pages copiables
7
Nombre pages imprimables
76
Taille du fichier
38584 Ko
Prix
158,24 €
EAN EPUB
9783031177859
Informations sur l'ebook
Nombre pages copiables
7
Nombre pages imprimables
76
Taille du fichier
166205 Ko
Prix
158,24 €

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