General-Purpose Gradient-Based Optimization
Overview
Provides general purpose tools for helping users to implement steepest gradient descent methods for function optimization; for details see Ruder (2016) arXiv:1609.04747v2. Currently, the Steepest 2-Groups Gradient Descent and the Adaptive Moment Estimation (Adam) are the methods implemented. Other methods will be implemented in the future.
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Vithor Rosa Franco <vithorfranco@gmail.com>’
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The Description field contains
Ruder (2016) <arXiv:1609.04747v2>. Currently, the Steepest 2-Groups
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 1
- Examples that run
- 100%1 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
Stars over time
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Issues over time
PRs over time
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/vthorrf/optimg on 2026-10-11.
Dependencies
Installing optimg adds 1 package (1 with compiled code, 17 KB of source tarballs). Heaviest: ucminf 17 KB.
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 0.1.2Latest2021-10-07 · current release
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2021-10-07
- Total releases
- 1 / 5 yrs
- License
- GPL-3 OSI
- Download size
- 4.9 KB
Cite
Cite this package
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