Results on inverse problem for abstract semilinear differential inclusions

Abstract In this manuscript, we examine an inverse problem for abstract semilinear differential inclusions. We identify the unknown parameter using the given overdetermined condition. We establish the existence of mild solution to the considered inverse problem. Further, the continuous dependence of the solution to the initial data is discussed.The main tools to obtain the results are Banach fixed point theorem, Grönwall’s inequality, set-valued theory and semigroup theory. Moreover, we provide several examples and some graphical illustrations to validate our findings.

Authors

Institutions

Publication Details

Journal
Journal of Inverse and Ill-Posed Problems
Published
2025-10-27
DOI
https://doi.org/10.1515/jiip-2024-0045
Primary Topic
Numerical methods in inverse problems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Results on inverse problem for abstract semilinear differential inclusions

Santosh Ruhil, Muslim Malik
Journal of Inverse and Ill-Posed Problems
Numerical methods in inverse problems
article

Results on inverse problem for abstract semilinear differential inclusions

Santosh Ruhil, Muslim Malik
article en

Abstract

Abstract In this manuscript, we examine an inverse problem for abstract semilinear differential inclusions. We identify the unknown parameter using the given overdetermined condition. We establish the existence of mild solution to the considered inverse problem. Further, the continuous dependence of the solution to the initial data is discussed.The main tools to obtain the results are Banach fixed point theorem, Grönwall’s inequality, set-valued theory and semigroup theory. Moreover, we provide several examples and some graphical illustrations to validate our findings.

Journal of Inverse and Ill-Posed Problems
Indian Statistical Institute (IN), Indian Institute of Technology Mandi (IN)
Openalex Percentile: Top 62%
Numerical methods in inverse problems
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.