Linear solvers · Packaging
Jacobi / Gauss–Seidel Iteration for Packaging
Apply the jacobi / gauss–seidel iteration to real packaging 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 packaging, teams face challenges like drop protection, material cost, sustainability. The jacobi / gauss–seidel iteration directly supports use cases such as drop-test fea, cushioning analysis, material optimization, and PolySim's AI Copilot can recommend settings and catch common setup errors before you run.
Typical Packaging use cases
- Drop-test FEA
- Cushioning analysis
- Material optimization
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