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arcopt  

Adaptive Regularization using Cubics for Optimization
View on CRAN: Click here


Download and install arcopt package within the R console
Install from CRAN:
install.packages("arcopt")

Install from Github:
library("remotes")
install_github("cran/arcopt")

Install by package version:
library("remotes")
install_version("arcopt", "0.3.0")



Attach the package and use:
library("arcopt")
Maintained by
Marcus Waldman
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-29
Latest Update: 2026-04-29
Description:
Implements cubic regularization methods (ARC) for local optimization problems common in statistics and applied research. Provides robust handling of ill-conditioned, nonconvex, and indefinite Hessian problems with automatic saddle point escape. Supports box constraints; linear equality constraints are planned for a future release.
How to cite:
Marcus Waldman (2026). arcopt: Adaptive Regularization using Cubics for Optimization. R package version 0.3.0, https://cran.r-project.org/web/packages/arcopt. Accessed 21 Aug. 2026.
Previous versions and publish date:
No previous versions
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Complete documentation for arcopt
Functions, R codes and Examples using the arcopt R package
Full arcopt package functions and examples
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