Convergence and Stability of F* Algorithm to Pseudocontractive mapping
FUOYE Academic Staff Profile
Mr. Felix Damilola Ajibade
Lecturer II
Department of Mathematics, Faculty of Physical Science
Area of Specialization: Functional Analysis
Biography
Ajibade Felix Damilola is a lecturer II specializing in mathematics. He earned his B.Sc. from Ekiti State University (EKSU) in 2013 and M.Sc. from Obafemi Awolowo University (OAU) in 2018. He is currently pursuing his PhD on the application of two-parameter semigroups in ordered Banach spaces.
His research interests include fixed point theory, convergence and stability, F* iteration, semigroup theory, applications of Banach spaces, and numerical techniques using R and Python. He has authored/co-authored about 11 publications, including 3 Scopus-indexed ones.
With extensive teaching experience, he began as a secondary school mathematics teacher in 2016 and has been lecturing at the university level since 2019, teaching across all levels, including master's students.
Research Interests
Functional Analysis: Banach spaces, Hilbert spaces, Operator theory, Positive operators
Semigroup Theory: One-parameter semigroups, Two-parameter semigroups, relatively uniformly continuous semigroups,
Positive semigroups on vector lattices, Generator theory for semigroups
Evolution Equations: Abstract Cauchy problems, Applications of semigroups to differential equations,
Stability analysis of evolution systems
Ordered Vector Spaces and Vector Lattices: Relative uniform convergence, ru-complete vector lattices
Positive operator theory
Qualifications
| Degree | Institution | Year |
|---|---|---|
| BSc | Ekiti State University, Ado Ekiti | 2013 |
| MSc. | Obafemi Awolowo University Ile-Ife | 2018 |
Undergraduate Project Supervision
Application of Riemann integral in approximating solutions to second ordered differential equations
Course Teaching
Mathematical Method IV, Lebesgue Measure
Rigid body, Analytical Dynamics
Linear Algebra I and II
Elementary Mathematics I, II, III and IV
Professional Skill
Proficient in the use of R and Python for statistical analysis, numerical computation, data visualization, mathematical modeling, and scientific research. Experienced in implementing numerical algorithms and analyzing research data using relevant computational packages
