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gnu: Add r-clarabel.
* gnu/packages/cran.scm (r-clarabel): New variable. Change-Id: I5c5e52da90e93d9ef2fb738ba494896e6712e61c
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@ -102,6 +102,7 @@ (define-module (gnu packages cran)
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#:use-module (gnu packages protobuf)
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#:use-module (gnu packages protobuf)
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#:use-module (gnu packages python)
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#:use-module (gnu packages python)
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#:use-module (gnu packages python-xyz)
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#:use-module (gnu packages python-xyz)
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#:use-module (gnu packages rust)
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#:use-module (gnu packages ssh)
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#:use-module (gnu packages ssh)
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#:use-module (gnu packages sqlite)
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#:use-module (gnu packages sqlite)
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#:use-module (gnu packages statistics)
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#:use-module (gnu packages statistics)
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@ -24089,6 +24090,41 @@ (define-public r-udunits2
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"This package provides simple bindings to Unidata's udunits library.")
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"This package provides simple bindings to Unidata's udunits library.")
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(license license:gpl2)))
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(license license:gpl2)))
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(define-public r-clarabel
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(package
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(name "r-clarabel")
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(version "0.9.0")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "clarabel" version))
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(sha256
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(base32 "1g66y8s4v7qzm92dhnsmng28sm4lf6wggb4kc6arvp75z0i315jh"))))
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(properties `((upstream-name . "clarabel")))
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(build-system r-build-system)
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(arguments
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(list
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#:phases
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#~(modify-phases %standard-phases
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(add-after 'unpack 'set-variables-for-rust
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(lambda _
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(setenv "CC" #$(cc-for-target)))))))
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(native-inputs (list r-knitr rust `(,rust "cargo")))
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(home-page "https://oxfordcontrol.github.io/clarabel-r/")
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(synopsis "Interior point conic optimization solver")
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(description
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"This package provides a versatile interior point solver that solves
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@dfn{linear programs} (LPs), @dfn{quadratic programs} (QPs), @dfn{second-order
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cone programs} (SOCPs), @dfn{semidefinite programs} (SDPs), and problems with
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exponential and power cone constraints (@url{https://clarabel.org/stable/}).
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For quadratic objectives, unlike interior point solvers based on the standard
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@dfn{homogeneous self-dual embedding} (HSDE) model, Clarabel handles quadratic
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objective without requiring any epigraphical reformulation of its objective
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function. It can therefore be significantly faster than other HSDE-based
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solvers for problems with quadratic objective functions. Infeasible problems
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are detected using using a homogeneous embedding technique.")
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(license license:asl2.0)))
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(define-public r-classint
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(define-public r-classint
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(package
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(package
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(name "r-classint")
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(name "r-classint")
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