Dear Julia Community,
We are pleased to announce the release of GALAHAD.jl, the Julia
interface to the renowned GALAHAD library, now at version 5.0.
GALAHAD.jl brings the powerful optimization capabilities of GALAHAD
directly to Julia users, offering tools specifically designed to tackle
a wide range of smooth optimization problems.
Why GALAHAD?
GALAHAD is a sophisticated collection of Fortran modules, developed to
solve large-scale smooth optimization problems both efficiently and
accurately. It provides advanced algorithms for:
- Unconstrained and Bound-Constrained Optimization:
Solve problems with or without bounded variables. - Optimization subproblems:
Solve quadratic or least-squares subproblems involving
trust-region or norm regularization. - Linear and nonlinear least-squares:
Solve least-squares problems. - Linear and Quadratic Programming (LP/QP):
Handle optimization with linear constraints and linear or
quadratic objectives. - Nonlinear Programming (NLP):
Address problems with nonlinear objectives or constraints. - Global Optimization: Extend local optimization techniques
to try to identify global minima of non-convex problems.
For more details and to start using GALAHAD.jl, visit:
- GALAHAD.jl Documentation
- GALAHAD repository
Alexis Montoison (@amontoison), on behalf of the GALAHAD team
Nick Gould (@nimgould), Jari Fowkes (@jfowkes) & Dominique Orban (@dpo)