Parallel algorithms for quasi-variational inequality arising in type-II superconductivity model

Khaled M. Furati; Abul Hasan Siddiqi

doi:10.1081/NFA-200063895

Parallel algorithms for quasi-variational inequality arising in type-II superconductivity model

Khaled M. Furati^*
, Abul Hasan Siddiqi

^*Corresponding author for this work

Department of Mathematics

Research output: Contribution to journal › Article › peer-review

Abstract

We study parallel algorithms for certain classes of parabolic quasi-variational inequalities proposed by Lions in 1999, and examine the possibility of applying such algorithms to quasi-variational inequalities that model type-II superconductors with critical current density depending on magnetic field in different situations.

Original language	English
Pages (from-to)	193-204
Number of pages	12
Journal	Numerical Functional Analysis and Optimization
Volume	26
Issue number	2
DOIs	https://doi.org/10.1081/NFA-200063895
State	Published - 2005

Bibliographical note

Funding Information:
This research was supported by King Fahd University of Petroleum & Minerals, Project No. MS/Safing Sensor/234.

Keywords

Kim model
Parabolic quasi-variational inequality
Parallel algorithm
Type-II superconductivity model

ASJC Scopus subject areas

Analysis
Signal Processing
Computer Science Applications
Control and Optimization

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1081/NFA-200063895

Cite this

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title = "Parallel algorithms for quasi-variational inequality arising in type-II superconductivity model",

abstract = "We study parallel algorithms for certain classes of parabolic quasi-variational inequalities proposed by Lions in 1999, and examine the possibility of applying such algorithms to quasi-variational inequalities that model type-II superconductors with critical current density depending on magnetic field in different situations.",

keywords = "Kim model, Parabolic quasi-variational inequality, Parallel algorithm, Type-II superconductivity model",

author = "Furati, \{Khaled M.\} and Siddiqi, \{Abul Hasan\}",

note = "Funding Information: This research was supported by King Fahd University of Petroleum \& Minerals, Project No. MS/Safing Sensor/234.",

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doi = "10.1081/NFA-200063895",

language = "English",

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pages = "193--204",

journal = "Numerical Functional Analysis and Optimization",

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T1 - Parallel algorithms for quasi-variational inequality arising in type-II superconductivity model

AU - Furati, Khaled M.

AU - Siddiqi, Abul Hasan

N1 - Funding Information: This research was supported by King Fahd University of Petroleum & Minerals, Project No. MS/Safing Sensor/234.

PY - 2005

Y1 - 2005

N2 - We study parallel algorithms for certain classes of parabolic quasi-variational inequalities proposed by Lions in 1999, and examine the possibility of applying such algorithms to quasi-variational inequalities that model type-II superconductors with critical current density depending on magnetic field in different situations.

AB - We study parallel algorithms for certain classes of parabolic quasi-variational inequalities proposed by Lions in 1999, and examine the possibility of applying such algorithms to quasi-variational inequalities that model type-II superconductors with critical current density depending on magnetic field in different situations.

KW - Kim model

KW - Parabolic quasi-variational inequality

KW - Parallel algorithm

KW - Type-II superconductivity model

UR - https://www.scopus.com/pages/publications/22844450638

U2 - 10.1081/NFA-200063895

DO - 10.1081/NFA-200063895

M3 - Article

AN - SCOPUS:22844450638

SN - 0163-0563

VL - 26

SP - 193

EP - 204

JO - Numerical Functional Analysis and Optimization

JF - Numerical Functional Analysis and Optimization

IS - 2

ER -

Parallel algorithms for quasi-variational inequality arising in type-II superconductivity model

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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