commit f8209fd8b149b267260ed6a5d219ccd6d6a1b897 · anil.recoil.org/opam-repository

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packages/lbfgs/lbfgs.0.9.3/opam
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       opam-version: "2.0"

     

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       maintainer: "Christophe Troestler <Christophe.Troestler@umons.ac.be>"

     

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       authors: [ "Christophe Troestler <Christophe.Troestler@umons.ac.be>" ]

     

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       license: "LGPL-3.0 with OCaml linking exception"

     

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       homepage: "https://github.com/Chris00/L-BFGS-ocaml"

     

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       dev-repo: "git+https://github.com/Chris00/L-BFGS-ocaml.git"

     

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       bug-reports: "https://github.com/Chris00/L-BFGS-ocaml/issues"

     

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       doc: "https://Chris00.github.io/L-BFGS-ocaml/doc"

     

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       tags: [ "science" "numerics" "optimization" "minimization" "maximization"

     

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               "bound-constrained" "large-scale" ]

     

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       build: [

     

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         ["dune" "subst"] {pinned}

     

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         ["dune" "build" "-p" name "-j" jobs]

     

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         ["dune" "build" "@doc" "-p" name "-j" jobs] {with-doc}

     

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       ]

     

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       depends: [

     

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         "ocaml"

     

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         "base-bigarray"

     

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         "base-bytes"

     

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         "dune" {>= "1.1"}

     

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         "cppo" {build}

     

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         "conf-gfortran" {build}

     

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         "lacaml" {with-test}

     

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       ]

     

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       synopsis: "Bound-constrainted optimization in many variables"

     

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       description: """

     

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       This library provide an algorithm to minimize and maximize functions

     

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       of many variables on bounded or unbounded domains.  This is a binding

     

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       to L-BFGS-B, a library for Large-scale Bound-constrained Optimization."""

     

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       url {

     

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         src:

     

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           "https://github.com/Chris00/L-BFGS-ocaml/releases/download/0.9.3/lbfgs-0.9.3.tbz"

     

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         checksum: [

     

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           "sha256=6e5cc5b0cda7ce445e09bd7bf0f8e04ab02ce1f8059dd39872993cc4aec91253"

     

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           "sha512=a15380178305dc7a0002f761c6105b49078c27002da7cac2176736a74c494c187b6d141f0f312b2ecb6513044790880ae51e239e8b3b244cf012fc5ea75a7e7e"

     

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         ]

     

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       }