# Numerical analysis and scientific computing

Our researchers develop and analyse algorithms that compute numerical approximations and apply them to real-world problems.

## PhD projects

We welcome applications for PhD study in all areas of numerical analysis and scientific computing.

PhD enquiries related to this theme can be directed to Dr Stefan Güttel.

Numerical analysis is the branch of rigorous mathematics that deals with the development and use of methods for solving problems in computational science and engineering. It is a broadly based discipline that sits at the interface between mathematical analysis and scientific computing.

Computational science is commonly accepted to be a third mode of science, complementing experimentation/observation and theory.

Scientific computing is the study of the techniques that underpin discipline-specific fields of computational science. The fundamental requirement is to enhance computational efficiency without compromising accuracy.

From core methodological research to the development of open-source software, our researchers have expertise in the following areas:

## Research outputs

Find the Department's recent publications in the University's database.

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## Postgraduate research

Discover the PhD opportunities available in the Department of Mathematics.

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## Research seminars

Research seminars on topics associated with numerical analysis and scientific computing take place regularly in the following series: