Uncertainty Quantification using R
Springer
ISBN 978-3-031-17787-3
Standardpreis
Bibliografische Daten
Fachbuch
Buch. Softcover
2024
65 s/w-Abbildungen, 920 Farbabbildungen.
In englischer Sprache
Umfang: x, 766 S.
Format (B x L): 15,5 x 23,5 cm
Verlag: Springer
ISBN: 978-3-031-17787-3
Produktbeschreibung
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.
Autorinnen und Autoren
Kundeninformationen
Presents the theory and methodology of uncertainty quantification, with applications in R and Python Uses R and Python to solve complex, multivariate problems Emphasizes practical applications of uncertainty quantification techniques for management and planning
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