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Linear solvers · Chemical & Process

Conjugate Gradient (CG) for Chemical & Process

Apply the conjugate gradient (cg) to real chemical & process 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 chemical & process, teams face challenges like reaction control, mixing efficiency, safety margins. The conjugate gradient (cg) directly supports use cases such as reactor modeling, distillation transport, combustion analysis, and PolySim's AI Copilot can recommend settings and catch common setup errors before you run.

Typical Chemical & Process use cases

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