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48 lines (35 loc) · 1.16 KB
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cff-version: 1.2.0
message: "If you use this project in research or academic work, please cite it using the information below."
title: "L-BFGS: Theory, Convergence Analysis, and Large-Scale Implementation"
version: "0.1.0"
doi: "10.5281/zenodo.18818738"
date-released: "2026-03-01"
repository-code: "https://github.com/SENATOROVAI/lbfgs-solver-course"
license: MIT
authors:
- family-names: "Senatorov"
given-names: "Ruslan"
orcid: ""
email: "t.me/RuslanSenatorov or youtube.com/SENATOROV"
affiliation: "Independent Research"
keywords:
- optimization
- lbfgs
- quasi-newton
- numerical-optimization
- large-scale-optimization
- machine-learning
abstract: >
This project provides a mathematically rigorous treatment and
production-style implementation of the Limited-Memory BFGS
optimization algorithm, including theoretical derivation,
convergence analysis, and numerical experiments.
preferred-citation:
type: report
doi: "10.5281/zenodo.18818738"
title: "L-BFGS Solver Course"
authors:
- family-names: "Senatorov"
given-names: "Ruslan"
year: 2026
repository-code: "https://github.com/SENATOROVAI/lbfgs-solver-course"