Stochastic dynamics and nonlinear systems form a critical nexus in modern science, where random processes intersect with complex, often non‐proportional responses. This field characterises phenomena ...
The Melnikov method is a powerful analytical tool that predicts the onset of chaos in nonlinear dynamical systems by quantifying the separation between stable and unstable manifolds. Initially ...
Sometimes, it’s easy for a computer to predict the future. Simple phenomena, such as how sap flows down a tree trunk, are straightforward and can be captured in a few lines of code using what ...
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Algorithm captures nonlinear climate dynamics to optimize air-conditioning energy use
Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...
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