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Gaussian Elimination: Problem Solving01:30

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Application of Nonlinear Inequalities

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Related Experiment Video

Updated: May 11, 2026

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

The hybrid block iterative algorithm for solving the system of equilibrium problems and variational inequality

Siwaporn Saewan1, Poom Kumam

  • 1Department of Mathematics, Faculty of Science, King Mongkut's University of Technology Thonburi (KMUTT), Bangmod Bangkok, 10140 Thailand.

Springerplus
|May 21, 2013
PubMed
Summary

This study introduces a hybrid block iterative algorithm to find common solutions for fixed points, variational inequalities, and equilibrium problems in Banach spaces. The algorithm demonstrates strong convergence, advancing existing mathematical methods.

Keywords:
47H0547H0947H10A system of equilibrium problemHybrid block iterative algorithmInverse-strongly monotone operatorUniformly quasi- ϕ-asymptotically nonexpansive mappingVariational inequality

Related Experiment Videos

Last Updated: May 11, 2026

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

Area of Science:

  • Nonlinear analysis
  • Functional analysis
  • Numerical analysis

Background:

  • Fixed-point theory and variational inequalities are crucial in applied mathematics.
  • Existing iterative methods often face limitations with infinite families of mappings or complex solution sets.
  • Uniformly quasi-asymptotically nonexpansive mappings and inverse-strongly monotone operators present significant analytical challenges.

Purpose of the Study:

  • To develop a unified hybrid block iterative algorithm.
  • To find a common element within the intersection of three distinct solution sets.
  • To establish a strong convergence theorem for the proposed algorithm in Banach spaces.

Main Methods:

  • Construction of a novel hybrid block iterative algorithm.
  • Utilizing properties of closed and uniformly quasi-asymptotically nonexpansive mappings.
  • Applying concepts of variational inequalities for α-inverse-strongly monotone operators.
  • Solving systems of equilibrium problems.

Main Results:

  • A hybrid block iterative algorithm is successfully constructed.
  • A strong convergence theorem is proven for the generated sequence.
  • The algorithm effectively finds a common element for the specified solution sets.

Conclusions:

  • The developed algorithm provides an efficient method for solving complex problems in Banach spaces.
  • The strong convergence result offers a significant theoretical advancement.
  • This work generalizes and improves upon existing literature in iterative algorithms for nonlinear problems.