About Anaconda Help Download Anaconda

Provides 'Scilab' 'n1qn1', or Quasi-Newton BFGS "qn" without constraints and 'qnbd' or Quasi-Newton BFGS with constraints. 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. Both algorithms are described in the 'Scilab' optimization documentation located at <http://www.scilab.org/content/download/250/1714/file/optimization_in_scilab.pdf>.

copied from cf-staging / r-n1qn1
Type Size Name Uploaded Downloads Labels
conda 87.5 kB | win-64/r-n1qn1-6.0.1_12-r44h4a03913_0.conda  28 days and 22 minutes ago 122 main
conda 87.0 kB | win-64/r-n1qn1-6.0.1_12-r43h4a03913_0.conda  28 days and 22 minutes ago 125 main
conda 94.2 kB | osx-64/r-n1qn1-6.0.1_12-r43h618501f_0.conda  28 days and 29 minutes ago 22 main
conda 94.5 kB | osx-64/r-n1qn1-6.0.1_12-r44h618501f_0.conda  28 days and 30 minutes ago 23 main
conda 94.3 kB | linux-64/r-n1qn1-6.0.1_12-r43h2ae3cc0_0.conda  28 days and 32 minutes ago 210 main
conda 94.9 kB | linux-64/r-n1qn1-6.0.1_12-r44h2ae3cc0_0.conda  28 days and 32 minutes ago 219 main

© 2024 Anaconda, Inc. All Rights Reserved. (v4.0.6) Legal | Privacy Policy