Compression methods for approximate stochastic modelling

• Main Author: Onggadinata, Kelvin
• Other Authors: Gu Mile
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2020
• Subjects: Science::Mathematics::Applied mathematics::Information theory; Science::Physics
• Online Access: https://hdl.handle.net/10356/139314
• Institution: Nanyang Technological University

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...