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convexjlr
View on CRAN: Click
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Download and install convexjlr package within the R console
Install from CRAN:
install.packages("convexjlr")
Install from Github:
library("remotes")
install_github("cran/convexjlr")
Install by package version:
library("remotes")
install_version("convexjlr", "0.8.1")
Attach the package and use:
library("convexjlr")
Maintained by
Changcheng Li
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-06-20
Latest Update: 2023-08-19
Description:
Provides a simple high-level wrapper forJulia package Convex.jl see httpsgithub.comJuliaOptConvex.jl formore informationwhich makes it easy to describe and solve convex optimization problems in R.The problems can be dealt with includelinear programssecond-order cone programssemidefinite programsexponential cone programs.
How to cite:
Changcheng Li (2017). convexjlr: Disciplined Convex Programming in R using "Convex.jl". R package version 0.8.1, https://cran.r-project.org/web/packages/convexjlr. Accessed 06 Nov. 2024.
Previous versions and publish date:
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Other R packages that convexjlr depends,
imports, suggests or enhances
Functions, R codes and Examples using
the convexjlr R package
Some associated functions: Expr . J . addConstraint . convex_setup . cvx_optim . dot . dotsort . entropy . geomean . huber . lambdamax . lambdamin . logdet . logisticloss . logsumexp . matrixfrac . maximum . minimum . neg . norm . nuclearnorm . operatornorm . pos . problem_creating . property . quadform . square . sumlargest . sumsmallest . sumsquares . tr . value . variable_creating . vec . vecdot . vecnorm .
Some associated R codes: evaluate.R . expr.R . expression.R . first.R . operator.R . problem.R . variable.R . Full convexjlr package functions and examples
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