Linear solvers · Automotive
Jacobi / Gauss–Seidel Iteration for Automotive
Apply the jacobi / gauss–seidel iteration to real automotive 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 automotive, teams face challenges like drag and fuel economy, crash safety, battery thermal management. The jacobi / gauss–seidel iteration directly supports use cases such as external aerodynamics, crashworthiness fea, ev battery cooling, and PolySim's AI Copilot can recommend settings and catch common setup errors before you run.
Typical Automotive use cases
- External aerodynamics
- Crashworthiness FEA
- EV battery cooling
Upgrade your workspace
Compute Mega Pack — $50
Best-value bulk compute: 6,000 Compute Tokens.
Recommended products
Materials Property Report
$6A sourced report on a material's mechanical & thermal properties.
Reproducible Research with PolySim
$18Publish reproducible, citable computational research.
Enterprise
$480/moOn-prem/air-gapped deployment with dedicated clusters.
Video Export Credit ×3
$4Render three 4K simulation videos of your time-domain results.
Shareable Interactive Embed
$3Publish one live, interactive embed of a simulation to any site.
Physics Starter Kit
$19Everything you need to start simulating classical & modern physics.