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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 92.7 kB | win-64/r-n1qn1-6.0.1_7-r40h5b3a9a7_1.tar.bz2  4 years and 7 months ago 1029 main
conda 92.8 kB | win-64/r-n1qn1-6.0.1_7-r36h5b3a9a7_1.tar.bz2  4 years and 7 months ago 1030 main
conda 99.4 kB | osx-64/r-n1qn1-6.0.1_7-r36h935cc70_1.tar.bz2  4 years and 7 months ago 320 main
conda 99.4 kB | osx-64/r-n1qn1-6.0.1_7-r40h935cc70_1.tar.bz2  4 years and 7 months ago 322 main
conda 95.0 kB | linux-64/r-n1qn1-6.0.1_7-r40h9cc4df9_1.tar.bz2  4 years and 7 months ago 2836 main
conda 95.1 kB | linux-64/r-n1qn1-6.0.1_7-r36h9cc4df9_1.tar.bz2  4 years and 7 months ago 2809 main
conda 92.7 kB | win-64/r-n1qn1-6.0.1_7-r36h5b3a9a7_0.tar.bz2  4 years and 8 months ago 1025 main cf202003
conda 92.4 kB | win-64/r-n1qn1-6.0.1_7-r35h5b3a9a7_0.tar.bz2  4 years and 8 months ago 1023 main cf202003
conda 99.5 kB | osx-64/r-n1qn1-6.0.1_7-r35h935cc70_0.tar.bz2  4 years and 8 months ago 326 main cf202003
conda 99.6 kB | osx-64/r-n1qn1-6.0.1_7-r36h935cc70_0.tar.bz2  4 years and 8 months ago 322 main cf202003
conda 95.3 kB | linux-64/r-n1qn1-6.0.1_7-r35h9cc4df9_0.tar.bz2  4 years and 8 months ago 2874 main cf202003
conda 95.5 kB | linux-64/r-n1qn1-6.0.1_7-r36h9cc4df9_0.tar.bz2  4 years and 8 months ago 2886 main cf202003

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