Linear solvers · Electronics Cooling
Conjugate Gradient (CG) for Electronics Cooling
Apply the conjugate gradient (cg) to real electronics cooling 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 electronics cooling, teams face challenges like hotspot mitigation, fan/heatsink design, acoustic noise. The conjugate gradient (cg) directly supports use cases such as heatsink cfd, fan curve modeling, thermal fea, and PolySim's AI Copilot can recommend settings and catch common setup errors before you run.
Typical Electronics Cooling use cases
- Heatsink CFD
- Fan curve modeling
- Thermal FEA
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