Analytical methods deals with using the theorems and formulaes which are more accurate. Usually these are applicable for simple problems only. Certain conditions like pre-stress, defects, rate of ...

Have you ever wondered how we approximate the area under a curve when finding exact solutions isn't practical? Numerical methods provide powerful tools to estimate definite integrals, and today, I’m ...

This book represents a distinguished collection of research papers authored by the esteemed Professor Roderick Wong, a globally recognized mathematician, and a pioneer in the field of applied ...

Spherical approximation techniques form a cornerstone of modern numerical integration on curved domains. These methods seek to approximate integrals over the unit sphere or related manifolds by ...

The numerical integration of stiff equations is a challenging problem that needs to be approached by specialized numerical methods. Exponential integrators form a popular class of such methods since ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

Approximation methods in function spaces characterise how well complex functions can be represented or recovered using limited information such as function values or ...

ABSTRACT: Fractional differential equations have recently been applied in various areas of engineering, science, finance, applied mathematics, bio-engineering and others. However, many researchers ...

Fast radar data generation using physics-based statistical models rather than computationally expensive ray tracing. Designed for generating large-scale training datasets for ML-based target detection ...