PhiloMath
Research Groups
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Research Groups
Data-Driven and Physics-Informed Models
Projects
Research Groups
Data-Driven and Physics-Informed Models
Projects
Newton's Second Law of Motion
Tasks
Dynamical Systems and Control
Projects
Controlling the Trajectory of a Motion
Tasks
Portfolio Optimisation and Management
Projects
Mean-Variance Portfolio Optimisation
Tasks
Build the Mean-Variance (Markowitz) Portfolio Optimisation Problem
Optimise the Mean-Variance Portfolio of Several Assets
Analysis of the Mean-Variance Portfolio with Illustrations
Surrogate Models and Optimisation
Projects
General-Purpose Data-Fitted Surrogate Models
Tasks
Classical Curve Fitting Problems and Basis Functions
Classical Data-Fitted Linear Surrogate Models
Non-classical Curve Fitting Problems and Basis Functions
Non-classical Data-Fitted Linear Surrogate Models
Nonlinear Data-Fitted Surrogate Models
Contacts
Research Groups
Data-Driven and Physics-Informed Models
Projects
Projects
Newton’s Second Law of Motion
This project mainly focuses on the problem of data-driven modelling of the well-known Newton’s Second Law of Motion, which is to be used as the information on the underlying physics. To be specific, we shall try to fit the data, observed for a motion of a particle, to the equation of motion model.
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