Solvers for steady states in scientific machine learning (SciML)
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Updated
May 16, 2024 - Julia
Solvers for steady states in scientific machine learning (SciML)
A Comprehensive Julia implementation of the Vortex Lattice Method
High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
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