Linear solvers · Energy
Jacobi / Gauss–Seidel Iteration for Energy
Apply the jacobi / gauss–seidel iteration to real energy 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 energy, teams face challenges like efficiency losses, thermal management, grid stability. The jacobi / gauss–seidel iteration directly supports use cases such as wind-turbine cfd, battery modeling, heat-exchanger design, and PolySim's AI Copilot can recommend settings and catch common setup errors before you run.
Typical Energy use cases
- Wind-turbine CFD
- Battery modeling
- Heat-exchanger design
Upgrade your workspace
Research Paper Repro Kit — $29
Tools to reproduce and publish results from a paper.
Recommended products
Physics Starter Kit
$19Everything you need to start simulating classical & modern physics.
Solver Validation & Benchmarking
$149Validate your setup against benchmark cases and report accuracy.
Outcome / Accuracy Assurance Review
$15A specialist sanity-checks a result before you rely on it.
FEA Masterclass
$25An in-depth masterclass on finite-element analysis.
API / Developer Plan
$99/moHigh API limits and webhooks for building on PolySim.
Quick-Sim Credit ×5
$4Five cloud simulation runs for quick iteration on the go.