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rnso: An R Implementation of Hybrid Algorithm for Non-Smooth Optimization (HANSO)
An R package based on the BFGS and gradient sampling methods. For general unconstrained minimization: convex or nonconvex, smooth or nonsmooth, including BFGS, limited memory BFGS and gradient sampling methods, based on weak Wolfe line search.
Getting started
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Package details |
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| Author | Abhirup Mallik, University of Minnesota, Hans Werner Borchers |
| Maintainer | Abhirup Mallik <malli066@umn.edu> |
| License | MIT |
| Version | 1.0 |
| Package repository | View on R-Forge |
| Installation |
Install the latest version of this package by entering the following in R:
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