Inglés
Sinopsis Introduction to stochastic programming
Optimization is one of the most reliable mathematical tool for decisión making. Since the 50?s, it is well known that traditional deterministic optimaztion is not appropriate for capturing the uncertain behavior present in most real world applications. Moreover, it was not until the 80?s when stochastic programming was broad applied in real-world applications. Moreover, it was not until the 80?s when stochastic programming was broad applied in real-world applications. Uncertainty is the key ingredient in many decision problemas. Financial planing, airline scheduling and unit commitmen in power systems are just few examples of aereas in wich ignoring uncertainty may lead to inferior or simply wrong decisions. There are several ways in wich uncertainty can be formalized and over the past thirty years varioud approaches to optimization under uncertainty have been developed. The fiel of Stochastic programming (SP) appears as a response to the need of incorporating uncertainty in mathematical models. Basically, it deals with mathematical programs in which some parameters are random variables.
EAN
9788498494549
Editorial
Año de edición
2009
Páginas
128
Encuadernación
Tapa blanda o Bolsillo
Idioma
Inglés
nº colección
34
Colección
Colección Ciencias Experimentales y Tecnología
Alto
235
Ancho
170
12.00 €
- 5 % DTO
11.40 €
Sin Stock