Dynamic Control of Infeasibility Solver (DCI) is a solver for equality-constrained nonlinear problems, i.e., optimization problems of the form

min f(x)     s.t.     c(x) = 0.

It uses other JuliaSmoothOptimizers packages for development. In particular, NLPModels.jl is used for defining the problem, and SolverCore for the output. It uses LDLFactorizations.jl by default to compute the factorization in the tangent step. HSL.jl provides alternative linear solvers if libHSL can be downloaded. The feasibility steps are factorization-free and use iterative methods from Krylov.jl

Bielschowsky, R. H., & Gomes, F. A. Dynamic control of infeasibility in equality constrained optimization. SIAM Journal on Optimization, 19(3), 1299-1325 (2008). 10.1137/070679557

Migot, T., Orban D., & Siqueira A. S. DCISolver. jl: A Julia Solver for Nonlinear Optimization using Dynamic Control of Infeasibility. Journal of Open Source Software 70(7), 3991 (2022). 10.21105/joss.03991

If you use DCISolver.jl in your work, please cite using the reference given in CITATION.cff.

If you want to make contributions of any kind, please first that a look into our contributing guide directly on GitHub or the contributing page on the website