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https://github.com/phys-sim-book/solid-sim-tutorial

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.
https://github.com/phys-sim-book/solid-sim-tutorial

collision-handling computational-mechanics computer-graphics constrained-optimization elastodynamics finite-element-methods friction incremental-potential-contact mass-spring-systems optimization-time-integrator physics-based-simulation

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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](https://phys-sim-book.github.io/).

A [MUDA](https://github.com/MuGdxy/muda)-based GPU version of the tutorial written by Zhaofeng Luo ([@Roushelfy](https://github.com/Roushelfy)) can be found at [solid-sim-tutorial-gpu](https://github.com/phys-sim-book/solid-sim-tutorial-gpu).