stochastic-average-gradient-sag-solver-course

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Ruslan Senatorov
DOI: 10.5281/zenodo.18821190
Cited by: 0

Abstract

This project provides a mathematically rigorous treatment and production-style implementation of the stochastic average gradient sag solver course optimization algorithm, including theoretical derivation, convergence analysis, and numerical experiments.

Fields of Study & Subjects

Stochastic Gradient Optimization Techniques Advanced Optimization Algorithms Research Distributed Control Multi-Agent Systems

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 March 2026
Language
EN