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This work aims at implementing Python bindings for new materials creating array-based and JIT-optimized versions, and developing an energy-based material API using auto-differentiation
Allow for different constraint-solving strategies, discrimination different type of constraints, unify of both the solver and constraint API, implementation of new direct resolution method and improvement of performances
Differentiability now becomes a state-of-the-art feature. SOFA includes parts with manual derivatives. This project aims at generalizing it in the SOFA engine
To increase its scientific credibility and ensure a better reproducibility, this Validation & Verification project aims at bringing a source of results comparing SOFA with other solutions, whether it consists in analytical, manufactured or other software-based solutions.