Related conference paper describing these materials: A. N. Ford Versypt#, C. V. Cook, and A. N. Johns, “Interactive Coding Templates for Courses and Undergraduate Research Using MATLAB Live Scripts,” ...
Linear functions are used to model a broad range of real-world problems. The ability to solve linear equations and inequalities is an essential skill for analysing these models. This section covers ...
Sinc methods are now recognized as an efficient numerical method for problems whose solutions may have singularities, or infinite domains, or boundary layers. This work deals with the sinc-collocation ...
Linear functions are fundamental building blocks in mathematics and play a key role in solving real-world problems where the rate of change remains constant. Linear functions arise in a wide range of ...
This project implements a reinforcement learning (RL) agent using Q-learning to solve linear equations of the form ax + by = c. The agent learns to minimize the error ...
1 Department of Environmental Health Science, University of Eswatini, Mbabane, Eswatini. 2 Department of Chemistry, University of Eswatini, Kwaluseni, Eswatini. Systems of linear equations or ...
Linear algebra is involved in virtually all scientific and engineering disciplines, e.g., physics, statistics, machine learning, and signal processing. Solving matrix equations such as a linear system ...
Abstract: In this paper, an optimization model with a linear objective function subject to a system of interval-valued fuzzy relational equations is presented. We convert the problem to an equivalent ...
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