Linear solvers · Sports & Wearables
Jacobi / Gauss–Seidel Iteration for Sports & Wearables
Apply the jacobi / gauss–seidel iteration to real sports & wearables problems — in the browser, with AI assistance.
These stationary iterative methods relax toward the solution of Ax=b, used inside pressure projection and diffusion steps of fluid and thermal solvers.
In sports & wearables, teams face challenges like aerodynamics, comfort and fit, battery life. The jacobi / gauss–seidel iteration 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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