Our work in numerical and scientific computing involves the development, analysis and execution of computational algorithms to solve mathematical problems from science and engineering. Our faculty are ...

For those interested in working with linear algebra with numerical tools - i.e. floating ... SciPy is a free and open-source Python library (built on top of Numpy) used for scientific computing and ...

In this research field we are developing advanced computational methods centered around efficient solution strategies for partial differential equations. In numerical analysis, we focus on developing ...

An introduction to scientific computing. Common numerical methods and algorithms are implemented using MATLAB. Basic elements of programming are introduced including variables, types, arrays, logical ...

A specialist in scientific computing must wear multiple hats, as he or she must not only understand the application being modeled, but also the equations to be solved, the numerical methods best ...