New Iterative Method with Inertial Technique for Split Variational Inclusion Problem to Classify TPACK Level of Pre-Service Mathematics Teachers

Authors

  • Suparat Kesornprom
  • Pronpat Peeyada
  • Watcharaporn Cholamjiak
  • Thanyaluck Ngamkhum
  • Nipa Jun-on

Keywords:

variational inclusion problem, self adaptive, inertial method, weak convergence, data classification, TPACK

Abstract

The study proposes new iterative algorithms employing inertial technique and self-adaptive stepsize for solving a split variational inclusion problem in a Hilbert space and providing a weak convergence theorem for the proposed algorithm. Finally, we present several numerical experiments to solve the problem of data classification to classify pre-service mathematics teachers' TPACK levels through self-assessment-based measures as its application.

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Published

2023-07-27

How to Cite

Kesornprom, S., Peeyada, P., Cholamjiak, W., Ngamkhum, T., & Jun-on, N. (2023). New Iterative Method with Inertial Technique for Split Variational Inclusion Problem to Classify TPACK Level of Pre-Service Mathematics Teachers. Thai Journal of Mathematics, 21(2), 351–365. Retrieved from https://thaijmath2.in.cmu.ac.th/index.php/thaijmath/article/view/1463

Issue

Vol. 21 No. 2 (2023): June

Section

Articles