Elias Munapo

Elias Munapo holds a BSc in Applied Mathematics, an MSc in Operations Research, and a PhD in Applied Mathematics, all from the National University of Science and Technology (N.U.S.T.) in Zimbabwe. Elias has vast experience in university education and has worked for five institutions of higher learning. He was a lecturer at Zimbabwe Open University, Chinhoyi University of Technology, and University of South Africa. He became a Senior Lecturer at the University of KwaZulu-Natal and then joined North West University as an Associate Professor in 2016 and has been appointed as a Professor since January 2019.

Publications

Operational Research for Renewable Energy and Sustainable Environments
Operational Research for Renewable Energy and Sustainable Environments
Joshua Thomas, Gerhard Wilhelm Weber, Roman Rodríguez Aguilar, Elias Munapo, Pandian Vasant. © 2024. 350 pages.
The application of contemporary and emerging operational research optimization methods in renewable energy is vital to creating and maintaining sustainable environments across...
Modelling and Forecasting Portfolio Inflows: A Comparative Study of Support Vector Regression, Artificial Neural Networks, and Structural VAR Models
Modelling and Forecasting Portfolio Inflows: A Comparative Study of Support Vector Regression, Artificial Neural Networks, and Structural VAR Models
Mogari I. Rapoo, Elias Munapo, Martin M. Chanza, Olusegun Sunday Ewemooje. © 2022. 22 pages.
This chapter analyses efficiency of support vector regression (SVR), artificial neural networks (ANNs), and structural vector autoregressive (SVAR) models in terms of in-sample...
Using a Single Extra Constraint to Linearize the Quadratic Assignment Problem
Using a Single Extra Constraint to Linearize the Quadratic Assignment Problem
Elias Munapo. © 2022. 12 pages.
The paper presents a new powerful technique to linearize the quadratic assignment problem. There are so many techniques available in literature that are used to linearize the...
Improving the Optimality Verification and the Parallel Processing of the General Knapsack Linear Integer Problem
Improving the Optimality Verification and the Parallel Processing of the General Knapsack Linear Integer Problem
Elias Munapo. © 2021. 16 pages.
The chapter presents a new approach to improve the verification process of optimality for the general knapsack linear integer problem. The general knapsack linear integer problem...
New Direction to the Scheduling Problem: A Pre-Processing Integer Formulation Approach
New Direction to the Scheduling Problem: A Pre-Processing Integer Formulation Approach
Elias Munapo, Olusegun Sunday Ewemooje. © 2021. 16 pages.
This chapter presents a new direction to the scheduling problem by exploring the Moore-Hodgson algorithm. This algorithm is used within the context of integer programming to come...
The Traveling Salesman Problem: Network Properties, Convex Quadratic Formulation, and Solution
The Traveling Salesman Problem: Network Properties, Convex Quadratic Formulation, and Solution
Elias Munapo. © 2021. 22 pages.
The chapter presents a traveling salesman problem, its network properties, convex quadratic formulation, and the solution. In this chapter, it is shown that adding or subtracting...
Influence of Some Sociodemographic Factors on Causes of Death Among South African Youth
Influence of Some Sociodemographic Factors on Causes of Death Among South African Youth
Boipelo Vinolia Mogale, Johannes Tshepiso Tsoku, Elias Munapo, Olusegun Sunday Ewemooje. © 2021. 16 pages.
Youth mortality is a challenge in South Africa, where on a daily basis a number of deaths are reported and are related to youth. This study used the 2014 Statistics South Africa...
Modelling and Forecasting Portfolio Inflows: A Comparative Study of Support Vector Regression, Artificial Neural Networks, and Structural VAR Models
Modelling and Forecasting Portfolio Inflows: A Comparative Study of Support Vector Regression, Artificial Neural Networks, and Structural VAR Models
Mogari I. Rapoo, Elias Munapo, Martin M. Chanza, Olusegun Sunday Ewemooje. © 2020. 22 pages.
This chapter analyses efficiency of support vector regression (SVR), artificial neural networks (ANNs), and structural vector autoregressive (SVAR) models in terms of in-sample...