A Julia package to perform Bifurcation Analysis
High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.
Collection of fully implicit PiC model in 2D on a Yee lattice, using Newton-Krylov non-linear solver
This is a short library that implements the complex-step derivative approximation algorithm for the computation of the N-derivative of an N-dimension function.
This is a short library that implements the complex-step derivative approximation algorithm for the computation of the N-derivative of an N-dimension function.
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