Convex Quartic Problems: Homogenized Gradient Method and Preconditioning

Authors

Radu-Alexandru Dragomir (ORCID: https://orcid.org/0000-0002-4600-7748)
Yurii Nesterov (ORCID: https://orcid.org/0000-0002-0542-8757)

Institutions

École Polytechnique Fédérale de Lausanne (CH)
UCLouvain (BE)

Publication Details

Journal: SIAM Journal on Optimization
Published: 2025-04-04
DOI: https://doi.org/10.1137/23m1583363
Primary Topic: Numerical methods in inverse problems
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Agence Nationale de la Recherche
Horizon 2020 Framework Programme

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article

Convex Quartic Problems: Homogenized Gradient Method and Preconditioning

Radu-Alexandru Dragomir, Yurii Nesterov

Apr 4, 2025

SIAM Journal on Optimization

Numerical methods in inverse problems

article

Convex Quartic Problems: Homogenized Gradient Method and Preconditioning

Radu-Alexandru Dragomir, Yurii Nesterov

April 4, 2025article en

Abstract

No abstract available for this paper.

SIAM Journal on OptimizationVol. 35(2)

École Polytechnique Fédérale de Lausanne (CH), UCLouvain (BE)

Agence Nationale de la Recherche, Horizon 2020 Framework Programme

Climate action

Openalex Percentile: Top 89%

Numerical methods in inverse problems

DOI Open Access PDF OpenAlex

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Convex Quartic Problems: Homogenized Gradient Method and Preconditioning — Radu-Alexandru Dragomir, Yurii Nesterov · SIAM Journal on Optimization (2025) | TGRS Research Map | TGRS