Explorations in Monte Carlo Methods
Monte Carlo methods are among the most used and useful computational tools available today, providing efficient and practical algorithims to solve a wide range of scientific and engineering problems. Applications covered in this book include optimization, finance, statistical mechanics, birth and de...
Clasificación: | Libro Electrónico |
---|---|
Autores principales: | Shonkwiler, Ronald W. (Autor), Mendivil, Franklin (Autor) |
Autor Corporativo: | SpringerLink (Online service) |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2009.
|
Edición: | 1st ed. 2009. |
Colección: | Undergraduate Texts in Mathematics,
|
Temas: | |
Acceso en línea: | Texto Completo |
Ejemplares similares
-
Introducing Monte Carlo Methods with R
por: Robert, Christian, et al.
Publicado: (2010) -
Advances in Data Analysis Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks /
Publicado: (2010) -
Continuous-time Stochastic Control and Optimization with Financial Applications
por: Pham, Huyên
Publicado: (2009) -
Bayesian Core: A Practical Approach to Computational Bayesian Statistics
por: Marin, Jean-Michel, et al.
Publicado: (2007) -
Geometric Modelling, Numerical Simulation, and Optimization: Applied Mathematics at SINTEF /
Publicado: (2007)