# Computational Science and Numerical Analysis

Computation is now regarded as an equal and indispensable partner, along with theory and experiment, in the advance of scientific knowledge and engineering practice. Numerical simulation enables the study of complex systems and natural phenomena that would be too expensive or dangerous, or even impossible, to study by direct experimentation. The quest for ever higher levels of detail and realism in such simulations requires enormous computational capacity, and has provided the impetus for dramatic breakthroughs in computer algorithms and architectures. Due to these advances, computational scientists and engineers can now solve large-scale problems that were once thought intractable.

Computational science and engineering (CSE) is a rapidly growing multidisciplinary area with connections to the sciences, engineering, mathematics and computer science. CSE focuses on the development of problem-solving methodologies and robust tools for the solution of scientific and engineering problems.

(quoted from "Graduate Education for Computational Science and Engineering" prepared by the SIAM Working Group on CSE Education.)

## Members

## Moysey Brio

Chair, Applied Mathematics - GIDP

## Andrew Gillette

Assistant Professor, Applied Mathematics - GIDP

## Karl B Glasner

Associate Professor, Applied Mathematics - GIDP

## Robert A Indik

## Leonid Kunyansky

Professor, Applied Mathematics - GIDP

## Robert S Maier

Professor, Physics

Professor, Statistics-GIDP

## Marek R Rychlik

## Mikhail Stepanov

Associate Professor, Applied Mathematics - GIDP