Linear solvers · Hardware Startups
Conjugate Gradient (CG) for Hardware Startups
Apply the conjugate gradient (cg) to real hardware startups 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 hardware startups, teams face challenges like tight budgets, fast iteration, design-to-fab handoff. The conjugate gradient (cg) directly supports use cases such as controller prototyping, bracket fabrication, model validation from test data, and PolySim's AI Copilot can recommend settings and catch common setup errors before you run.
Typical Hardware Startups use cases
- Controller prototyping
- Bracket fabrication
- Model validation from test data
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