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Yao Elikem Ayekple

Mathematics

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Research Summary

(inferred from publications by AI)

The researcher has made significant contributions across various applied fields with a strong mathematical foundation. Their work spans rough sets and fuzzy logic in physical sciences, financial applications such as time series analysis of exchange rates and MCMC methods for forecasting, quantum computing algorithms, and advanced matrix theory, including the inverse eigenvalue problem for symmetric matrices.

Research Themes

All Papers

Revised Mathematical Morphological Concepts(2015)
Mathematical Morphological Distributive Concepts over Unions and Intersections(2016)
Time Series Analysis of the Exchange Rate of the Ghanaian Cedi to the American Dollar(2015)
Markov Chain Monte Carlo Method for Estimating Implied Volatility in Option Pricing(2018)
The Fundamental Matrix of the Simple Random Walk with Mixed Barriers(2016)
INVERSE EIGENVALUE PROBLEM FOR SYMMETRIC MATRICES IN THE CONTEXT OF THE LIE GROUP(2024)

Collaboration Network

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About This Profile

This profile is generated from publicly available publication metadata and is intended for research discovery purposes. Themes, summaries, and trajectories are inferred computationally and may not capture the full scope of the lecturer's work. For authoritative information, please refer to the official KNUST profile.