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 ...

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 ...

Adequate mathematical modeling is the key to success for many real-world projects in engineering, medicine, and other applied areas. As soon as an appropriate mathematical model is developed, it can ...

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 ...

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

1 Statistics, Information Modelling & Financial Mathematics Research Group, Sheffield Hallam University, Sheffield, UK. 2 Department of Statistics, Institute of Management and Technology (IMT) Enugu, ...