Linear solvers · Defense
Conjugate Gradient (CG) for Defense
Apply the conjugate gradient (cg) to real defense 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 defense, teams face challenges like blast and impact, signature management, reliability. The conjugate gradient (cg) directly supports use cases such as ballistic fea, aerodynamics, electromagnetic modeling, and PolySim's AI Copilot can recommend settings and catch common setup errors before you run.
Typical Defense use cases
- Ballistic FEA
- Aerodynamics
- Electromagnetic modeling
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