TY  - CHAP
AU  - Xiaojun Yang
AU  - Keyi Xing
ED  - Ioannis  Dritsas
Y1  - 2011-02-28
PY  - 2011
T1  - Joint State and Parameter Estimation in Particle Filtering and Stochastic Optimization
N2  - Stochastic Optimization Algorithms have become essential tools in solving a wide range of difficult and critical optimization problems. Such methods are able to find the optimum solution of a problem with uncertain elements or to algorithmically incorporate uncertainty to solve a deterministic problem. They even succeed in fighting uncertainty with uncertainty.
This book discusses theoretical aspects of many such algorithms and covers their application in various scientific fields.
BT  - Stochastic Optimization
SP  - Ch. 9
UR  - https://doi.org/10.5772/14658
DO  - 10.5772/14658
SN  - 
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-27
ER  -