Space-time isogeometric method for a nonlocal parabolic problem

Abstract In the present work, we focus on the space-time isogeometric discretization of a parabolic problem with a nonlocal diffusion coefficient. The existence and uniqueness of the solution for the continuous space-time variational formulation are proven. We prove the existence of the discrete solution and also establish the a priori error estimate for the space-time isogeometric scheme. The non-linear system is linearized through Picard’s method, and a suitable preconditioner for the linearized system is provided. Finally, to confirm the theoretical findings, the results of some numerical experiments are presented.

Authors

Institutions

Publication Details

Journal
Advances in Computational Mathematics
Published
2026-02-01
DOI
https://doi.org/10.1007/s10444-026-10285-9
Primary Topic
Advanced Numerical Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Space-time isogeometric method for a nonlocal parabolic problem

Monica Montardini, Sudhakar Chaudhary, Shreya Chauhan
Advances in Computational Mathematics
Advanced Numerical Analysis Techniques
article

Space-time isogeometric method for a nonlocal parabolic problem

Monica Montardini, Sudhakar Chaudhary, Shreya Chauhan
article en

Abstract

Abstract In the present work, we focus on the space-time isogeometric discretization of a parabolic problem with a nonlocal diffusion coefficient. The existence and uniqueness of the solution for the continuous space-time variational formulation are proven. We prove the existence of the discrete solution and also establish the a priori error estimate for the space-time isogeometric scheme. The non-linear system is linearized through Picard’s method, and a suitable preconditioner for the linearized system is provided. Finally, to confirm the theoretical findings, the results of some numerical experiments are presented.

Advances in Computational MathematicsVol. 52(1)
University of Pavia (IT), Institute of Infrastructure Technology Research and Management (IN)
Openalex Percentile: Top 54%
Advanced Numerical Analysis Techniques
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.