PhiloMath
Research Groups
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Research Groups
Surrogate Models and Optimisation
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
Surrogate Models and Optimisation
Projects
Projects
General-Purpose Data-Fitted Surrogate Models
This project mainly focuses on the problem of data fitting, where the data is fitted to a (possibly simple and explainable) model: surrogate model. Herewith, we will investigate some common models constructed using the so-called basis functions.
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