An Improvement of the Quantitative Stability Analysis for the Two-Stage Stochastic Variational Inequality Problems

This paper extends the quantitative stability results to a more general class of two-stage stochastic variational inequality problems (TSVIP). The existence of solutions to the TSVIP is discussed, and the quantitative relationship between the TSVIP and its distribution perturbed problem is derived.

Authors

Publication Details

Journal
Wuhan University Journal of Natural Sciences
Published
2024-12-01
DOI
https://doi.org/10.1051/wujns/2024296539
Primary Topic
Optimization and Variational Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Improvement of the Quantitative Stability Analysis for the Two-Stage Stochastic Variational Inequality Problems

Liqin LIN, Jianxun Liu, Zhenlong Wang, Yi‐Ting Wang
Wuhan University Journal of Natural Sciences
Optimization and Variational Analysis
article

An Improvement of the Quantitative Stability Analysis for the Two-Stage Stochastic Variational Inequality Problems

Liqin LIN, Jianxun Liu, Zhenlong Wang, Yi‐Ting Wang
article en

Abstract

This paper extends the quantitative stability results to a more general class of two-stage stochastic variational inequality problems (TSVIP). The existence of solutions to the TSVIP is discussed, and the quantitative relationship between the TSVIP and its distribution perturbed problem is derived.

Wuhan University Journal of Natural SciencesVol. 29(6)
Natural Science Foundation of Guangxi Province
Openalex Percentile: Top 71%
Optimization and Variational Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.