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This edited volume from mathematical modelling experts employs a structured approach to showcase the latest research and provide a comprehensive guide to the principles, techniques, and practical applications of mathematical modelling in the fields of engineering and the physical sciences.
List of contents
1. Introduction to Mathematical Modelling for Engineering and Physical Applications. 2. Forecasting Stock Price Fluctuation Using Geometric Brownian Motion Modelling. 3. Collective Dynamics in a Random Network of Pulse-Coupled Oscillators with Heterogeneous Intrinsic Frequencies. 4. Dynamical Analysis of a Reaction-Diffusion System for Biocatalytic Exothermic Reactions. 5. Stability Analysis of Magnetohydrodynamic Flow and Heat Transfer over an Exponentially Permeable Stretching/Shrinking Sheet in Ferrofluids with the Influence of Heat Generation. 6. Computational Fluid Dynamics Modelling on the Flow Behavior of a High-Speed Train under Crosswinds. 7. Numerical Solution of Linear Simultaneous Equations Based on Particle Swarm Optimisation of Multi-Agent System. 8. Tracking Abrupt Changes in Physical and Engineering Systems Using Recursive System Identification. 9. A Comparative Analysis of Random Forest and ARIMA-GARCH Models: A Case Study in Forecasting Particulate Matter Concentration in Penang, Malaysia. 10. Applications of ¿-Curves to Robot Trajectory Generation. 11. Solving the Global Path Planning of an Unmanned Ground Vehicle Using a Clustered Travelling Salesman Path Problem Approach. 12. Energy and Exergy Analyses of Hybrid Solar Drier for Seaweed Drying.
About the author
Mohd Hafiz Mohd earned a BSc (Hons) in mathematics at the Imperial College London, an MSc in mathematics at the Universiti Sains Malaysia and a PhD in computational and applied mathematics at the University of Canterbury, New Zealand. He is an Associate Professor at Universiti Sains Malaysia, researching mathematical modelling in biology, engineering and distinct complex systems.
Noor Atinah Ahmad earned a BSc (Hons) in mathematics at the University of Bristol, UK, and a PhD in mathematics at the University of Southampton, UK. She is an Associate Professor at the Universiti Sains Malaysia, and her research interests include data-driven modelling of dynamical systems.
Syakila Ahmad is a Senior Lecturer at the School of Mathematical Sciences, Universiti Sains Malaysia. She earned a PhD in fluid dynamics at the Universiti Putra Malaysia. Her research interests include fluid dynamics, convective heat and mass transfer and mathematical modelling.
Md Yushalify Misro earned a BSc (Hons) and an MSc (Hons) in mathematics and a PhD in computer-aided graphic design at the Universiti Sains Malaysia. He joined the faculty of the Universiti Sains Malaysia in 2018 and has since researched various areas, including trigonometric and fractional Bézier curves and surfaces, developable surfaces, numerical splines and träc simulation.
Mohamad Hekarl Uzir earned a BEng (Hons) in chemical engineering at the University of Leeds, an MSc in advanced chemical engineering at the University of London and a PhD in biochemical engineering at the University College London. He is an Associate Professor at the Universiti Sains Malaysia, specialising in biocatalysis, biotransformation and modelling of biocatalytic and bioprocess systems.
Summary
This edited volume from mathematical modelling experts employs a structured approach to showcase the latest research and provide a comprehensive guide to the principles, techniques, and practical applications of mathematical modelling in the fields of engineering and the physical sciences.
