Numerical and computational mathematics develops and analyses algorithmic strategies for approximating solutions to mathematical models that lack closed-form expressions. Central themes include the ...

Numerical analysis develops, analyses and implements algorithms for approximating the solutions of mathematical problems that cannot be expressed in closed form. Central challenges include ...

Reproducing kernel Hilbert space method is utilized in this paper as an efficient approach to solve singular fourth order ...

The Department of Engineering Sciences and Applied Mathematics (ESAM) at Northwestern University is highly interdisciplinary and focused on applications. Our faculty and students connect with ...

Focuses on numerical solution of nonlinear equations, interpolation, methods in numerical integration, numerical solution of linear systems, and matrix eigenvalue problems. Stresses significant ...

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