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mize  

Unconstrained Numerical Optimization Algorithms
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mize", "0.2.4")



Attach the package and use:
library("mize")
Maintained by
James Melville
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-07-14
Latest Update: 2020-08-30
Description:
Optimization algorithms implemented in R, including conjugate gradient (CG), Broyden-Fletcher-Goldfarb-Shanno (BFGS) and the limited memory BFGS (L-BFGS) methods. Most internal parameters can be set through the call interface. The solvers hold up quite well for higher-dimensional problems.
How to cite:
James Melville (2017). mize: Unconstrained Numerical Optimization Algorithms. R package version 0.2.4, https://cran.r-project.org/web/packages/mize. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-07-09 06:31), 0.1.1 (2017-07-14 07:52), 0.2.0 (2018-09-14 19:20), 0.2.1 (2019-04-14 07:42), 0.2.2 (2019-07-11 08:31), 0.2.3 (2019-12-05 09:10), 0.2.4 (2020-08-30 07:20)
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Complete documentation for mize
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