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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

VersionRepositoryFileSize
6.0.1-14 rolling linux/jammy R-4.5 n1qn1_6.0.1-14.tar.gz 75.6 KiB
6.0.1-14 rolling linux/noble R-4.5 n1qn1_6.0.1-14.tar.gz 78.2 KiB
6.0.1-14 rolling source/ R- n1qn1_6.0.1-14.tar.gz 28.1 KiB
6.0.1-14 latest linux/jammy R-4.5 n1qn1_6.0.1-14.tar.gz 75.6 KiB
6.0.1-14 latest linux/noble R-4.5 n1qn1_6.0.1-14.tar.gz 78.2 KiB
6.0.1-14 latest source/ R- n1qn1_6.0.1-14.tar.gz 28.1 KiB
6.0.1-14 2026-04-26 source/ R- n1qn1_6.0.1-14.tar.gz 28.1 KiB
6.0.1-14 2026-04-23 source/ R- n1qn1_6.0.1-14.tar.gz 28.1 KiB
6.0.1-14 2026-04-09 windows/windows R-4.5 n1qn1_6.0.1-14.zip 398.6 KiB
6.0.1-12 2025-04-20 source/ R- n1qn1_6.0.1-12.tar.gz 25.8 KiB

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