Compression methods for approximate stochastic modelling
Understanding of the natural world can be accounted to effective information processing. Natural processes, however, are often riddled with enormous amount of information and high non-linearity. A need to simplify these problems becomes paramount for practical purposes. Computational mechanics has c...
Hovedforfatter: | Onggadinata, Kelvin |
---|---|
Andre forfattere: | Gu Mile |
Format: | Final Year Project (FYP) |
Sprog: | English |
Udgivet: |
Nanyang Technological University
2020
|
Fag: | |
Online adgang: | https://hdl.handle.net/10356/139314 |
Lignende værker
-
Predictive modelling of quantum stochastic processes
af: Huang, Ruocheng
Udgivet: (2021) -
Generalised polynomial chaos approximation for stochastic fractional partial differential equations
af: Teh, Yu Xuan
Udgivet: (2023) -
Quantum-enhanced stochastic analysis
af: Chang, Derek Ding Cong
Udgivet: (2023) -
Time-inconsistent stochastic linear-quadratic control in continuous time
af: Song, Wan Jing
Udgivet: (2021) -
Stochastic modelling of membrane filtration
af: Griffiths, I, et al.
Udgivet: (2017)