n1qn1
Port of the 'Scilab' 'n1qn1' Module for Unconstrained BFGS Optimization
Provides 'Scilab' 'n1qn1'. This takes more memory than traditional L-BFGS. The n1qn1 routine is useful since it allows prespecification of a Hessian. If the Hessian is near enough the truth in optimization it can speed up the optimization problem. The algorithm is described in the 'Scilab' optimization documentation located at <https://www.scilab.org/sites/default/files/optimization_in_scilab.pdf>. This version uses manually modified code from 'f2c' to make this a C only binary.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
6.0.1-14 |
2026-04-09 windows/windows R-4.5 | n1qn1_6.0.1-14.zip |
398.6 KiB |