Linear solvers · Textiles & Apparel
Conjugate Gradient (CG) for Textiles & Apparel
Apply the conjugate gradient (cg) to real textiles & apparel problems — in the browser, with AI assistance.
CG minimizes the residual over expanding Krylov subspaces, converging far faster than stationary methods for SPD systems common in FEM.
In textiles & apparel, teams face challenges like drape and fit, thermal comfort, durability. The conjugate gradient (cg) directly supports use cases such as cloth simulation, thermal comfort modeling, seam stress, and PolySim's AI Copilot can recommend settings and catch common setup errors before you run.
Typical Textiles & Apparel use cases
- Cloth simulation
- Thermal comfort modeling
- Seam stress
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