Python optimization engine for FEBio
Project description
pyfebiopt
pyFEBiOpt wraps the FEBio solver with a more flexible toolbox. FEBio ships with optimisation hooks, but they are intentionally narrow; this library delivers extremely flexible inverse optimisation, multi-objective workflows, and extensible, parallel computation that slot cleanly into existing FEBio projects.
Highlights
- Inverse optimisation engine with reparameterisation, clean logging, monitoring, Jacobian helpers, FEB template bindings, and configurable runners/storage. Build parameter grids, run multiple cases, and keep artefacts organised with automatic cleanup/persistence policies.
- Post-processing via a fast binary
.xpltreader with sliceable views for nodes, elements, faces, and regions (no copies until needed). - Visualisation utilities built on
pyvistafor quick mesh/result plotting. - Extensible design: adapters for experiment data, telemetry hooks, series export, and structured configuration dataclasses to keep projects reproducible. Plug in your own experiment loaders or monitoring sinks without changing the engine.
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