Numerical and Computational Methods

Numerical and computational methods play a crucial role in bridging theoretical mathematics with real-world problem-solving. This subtopic encompasses techniques used to obtain approximate solutions to complex mathematical problems that are difficult or impossible to solve analytically. The studies presented here involve numerical algorithms and hybrid methods, such as the Laplace Transform–Finite Difference approach, matrix inversion techniques, and efficiency analyses of classical methods for solving differential equations. These works not only demonstrate the versatility of computational mathematics but also underscore its importance in scientific modeling, engineering simulations, and data-driven applications.

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