Linear solvers · Consumer Products
Jacobi / Gauss–Seidel Iteration for Consumer Products
Apply the jacobi / gauss–seidel iteration to real consumer products 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 consumer products, teams face challenges like cost vs. durability, thermal comfort, packaging. The jacobi / gauss–seidel iteration directly supports use cases such as drop-test fea, airflow in appliances, packaging optimization, and PolySim's AI Copilot can recommend settings and catch common setup errors before you run.
Typical Consumer Products use cases
- Drop-test FEA
- Airflow in appliances
- Packaging optimization
Upgrade your workspace
Full Multi-Physics Bundle — $49
Every domain node pack plus a large compute allotment.
Recommended products
Custom Branding on Embeds
$9Put your own logo and colors on public embeds.
AI Copilot Power-User Workshop
$15Get expert-level results from the AI Copilot.
White-Label / Embedded Widget
$299/moEmbed PolySim in your product under your own brand.
GPU-Minute Pack (Small)
$560 cloud GPU-minutes for compute-heavy renders and solves.
Reproducibility Bundle
$4Pin environment + random seed and archive a reproducible run.
Materials Property Deep Lookup
$5Detailed, sourced property sheet for any material in your model.