Stochastic Differential Equations
Differential equations that combine deterministic evolution with random forcing to represent systems influenced by continuous uncertainty.
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Clear searchDifferential equations that combine deterministic evolution with random forcing to represent systems influenced by continuous uncertainty.
Methods that quantify connected components, loops and higher-dimensional voids in data across a range of spatial scales.
A mathematical framework for transforming one distribution into another while minimising a defined movement cost.
The study of deterministic nonlinear systems whose trajectories can become unpredictable through sensitive dependence on initial conditions.