Surrogate · Sports & Wearables
Radial Basis Function (RBF) Interpolation for Sports & Wearables
Apply the radial basis function (rbf) interpolation to real sports & wearables problems — in the browser, with AI assistance.
RBF interpolation fits smooth functions through scattered samples, a fast and accurate basis for surrogate models and meshless methods.
In sports & wearables, teams face challenges like aerodynamics, comfort and fit, battery life. The radial basis function (rbf) interpolation directly supports use cases such as cycling aerodynamics, fabric drape, wearable thermal design, and PolySim's AI Copilot can recommend settings and catch common setup errors before you run.
Typical Sports & Wearables use cases
- Cycling aerodynamics
- Fabric drape
- Wearable thermal design
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