Implementation of a Augmented Lagrangian method
Author JuliaSmoothOptimizers
21 Stars
Updated Last
1 Year Ago
Started In
March 2019

Percival.jl - An augmented Lagrangian solver

CI docs-latest docs-dev DOI

Percival is an implementation of the augmented Lagrangian solver described in

S. Arreckx, A. Lambe, Martins, J. R. R. A., & Orban, D. (2016).
A Matrix-Free Augmented Lagrangian Algorithm with Application to Large-Scale Structural Design Optimization.
Optimization And Engineering, 17, 359–384. doi:10.1007/s11081-015-9287-9

with internal solver tron from JSOSolvers.jl. To use Percival, you have to pass it an NLPModel.

How to Cite

If you use Percival.jl in your work, please cite using the format given in CITATION.bib.


Use ] to enter pkg> mode of Julia, then

pkg> add

Use with JuMP

You can solve an JuMP model m by using NLPModels to convert it.

using NLPModelsJuMP, Percival
nlp = MathOptNLPModel(m)
output = percival(nlp)

Used By Packages