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A curated collection of Python examples for optimization-based solid simulation, emphasizing algorithmic convergence, penetration-free, and inversion-free conditions, designed for readability and understanding.

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Solid Simulation Tutorials

A curated collection of Python examples focused on optimization-based solid simulation with guarantees on algorithmic convergence, penetration-free and inversion-free conditions. The examples are designed for ease of readability and understanding.

Introductory sections (with * following the titles) for each of the examples in this repository can be found in the free online book Physics-based Simulation.

A MUDA-based GPU version of the tutorial written by Zhaofeng Luo (@Roushelfy) can be found at solid-sim-tutorial-gpu.

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A curated collection of Python examples for optimization-based solid simulation, emphasizing algorithmic convergence, penetration-free, and inversion-free conditions, designed for readability and understanding.

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