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mize
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]
[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 07 Mar. 2026.
Previous versions and publish date:
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Other R packages that mize depends,
imports, suggests or enhances
Complete documentation for mize
Functions, R codes and Examples using
the mize R package
Some associated functions: check_mize_convergence . make_mize . mize . mize_init . mize_step . mize_step_summary .
Some associated R codes: DONTCHECKMEIN.R . adaptive_restart.R . convergence.R . gradient.R . hager_zhang.R . learning_rate.R . life_cycle.R . mize.R . momentum.R . more_thuente.R . nesterov.R . optimize.R . polation.R . rasmussen.R . schmidt.R . step_size.R . util.R . validate.R . wolfe.R . Full mize package functions and examples
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