Modeling with Stochastic Programming
While there are several texts on how to solve and analyze stochastic programs, this is the first text to address basic questions about how to model uncertainty, and how to reformulate a deterministic model so that it can be analyzed in a stochastic setting. This text would be suitable as a stand-al...
Clasificación: | Libro Electrónico |
---|---|
Autores principales: | King, Alan J. (Autor), Wallace, Stein W. (Autor) |
Autor Corporativo: | SpringerLink (Online service) |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2012.
|
Edición: | 1st ed. 2012. |
Colección: | Springer Series in Operations Research and Financial Engineering,
|
Temas: | |
Acceso en línea: | Texto Completo |
Ejemplares similares
-
Generalized Bounds for Convex Multistage Stochastic Programs
por: Kuhn, Daniel
Publicado: (2005) -
Matrix-Analytic Methods in Stochastic Models
Publicado: (2013) -
Cellular Genetic Algorithms
por: Alba, Enrique, et al.
Publicado: (2008) -
Introduction to Uncertainty Quantification
por: Sullivan, T.J
Publicado: (2015) -
Advances in Stochastic and Deterministic Global Optimization
Publicado: (2016)