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The second–derivative lower–bound function (SeLF) algorithm and three acceleration techniques for maximization with strongly stable convergence

Statistics and Computing(2025)10.1007/s11222-025-10639-1Source: DataRank Database

The second–derivative lower–bound function (SeLF) algorithm and three acceleration techniques for maximization with strongly stable convergence is a research paper published in Statistics and Computing (2025). On theSindex it has a DataRank of 0. It has been cited 2 times.

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2 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (8 grants)Impact (FWCI 1.24)OA: closedTopics (26)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Hua Zhou ORCID,Kenneth Lange ORCID,Xun‐Jian Li,Guo‐Liang Tian ORCID

Live enrichment

PubMed:30945415 OpenAlex:https://openalex.org/W4411054839

National Natural Science Foundation of China

Grant: 12171225

National Institutes of Health

Grant: R35 GM141798

National Science Foundation, United States

Grant: DMS 2054253

National Science Foundation

Grant: 2205441

SCH: Statistical Foundation and Predictive Modeling for Personalized Diabetes Management: Continuous Glucose Monitoring (CGM), Electronic Health Records (EHR), and Biobanks

National Institutes of Health

Grant: 5R35GM141798-05

Modeling, Inference, and Optimization for Genomic and Biomedical Big Data

National Institutes of Health

Grant: 1R01DK142026-01

Transforming Precision Medicine: Dynamic Learning and Prediction of Disease Progression in Massive, Diverse, and Multimodal Cohorts

National Institutes of Health

Grant: 5R01HG006139-06

Genomics, GPUs, and Next Generation Computational Statistics

National Science Foundation

Grant: 2054253

DMS/NIGMS 2: Statistical Methods and Computational Algorithms for Biobank Data

FWCI

1.24

Citation Percentile

0.7%

Influential Citations

Citation Trend

2025

2026

closedLicense: Springer Nature TDM

publisherhttps://link.springer.com/content/pdf/10.1007/s11222-025-10639-1.pdf

publisherhttps://link.springer.com/article/10.1007/s11222-025-10639-1/fulltext.html

journalhttps://doi.org/10.1007/s11222-025-10639-1

https://zbmath.org/8061809

Fields of Study

Sparse and Compressive Sensing TechniquesBlind Source Separation TechniquesAdvanced Optimization Algorithms ResearchComputer ScienceMathematics0101 mathematics01 natural sciences

Keywords

AccelerationConvergence (economics)Derivative (finance)AlgorithmMaximizationFunction (biology)MathematicsMathematical optimizationComputer scienceApplied mathematicsPhysicsself algorithmacceleration techniquePoint estimationweakly stable convergenceMM algorithmsstrongly stable convergenceComputational methods for problems pertaining to statisticsconvergence analysis

Sustainable Development Goals

SDG 0: Reduced inequalities