School of Mathematical Sciences
   
   
  

Scientific Computation

Scientific Computation is concerned with the design and analysis of computational algorithms for solving mathematical problems arising within a wide variety of application areas, together with their implementation on high performance computers.

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Research Areas

  • A posteriori error analysis and adaptivity
  • Bayesian inverse problems
  • Computational cell biology
  • Computational electromagnetics
  • Computational fluid mechanics
  • Computational PDEs
  • High-order finite element/discontinuous Galerkin methods
  • Multiscale modelling and computation
  • Numerical simulation of bifurcation problems
  • Numerical integration of stochastic ordinary and partial differential equations
  • Stochastic dynamics and modelling

Group Members

Staff:

Core members of the group are: 

Paul Houston

Professor Houston has interests in:

  • Numerical methods for partial differential equations
  • Finite element and discontinuous Galerkin methods
  • A posteriori error estimation
  • Adaptive mesh generation
  • Computational fluid mechanics and computational electromagnetics
 
Matthew Hubbard

Dr Hubbard has interests in:

  • Algorithms for multidimensional fluid flow
  • Adaptive algorithms
  • Multiscale modelling of biomedical applications
  • Efficient linear algebra solvers

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Marco Iglesias

Dr Iglesias works on inverse problems, particularly for problems in geoscience/geomechanics.

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Michael Tretyakov

Professor Tretyakov has current interests in numerical integration of stochastic differential equations, probabilistic approaches to numerical solution of non-linear partial differential equations, financial mathematics, stochastic dynamics and modelling in genetics.

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Kris van der Zee

Dr van der Zee has interests in:

  • Foundations of error estimation and adaptivity, multiscale and adaptive modelling
  • Computational mechanics and computational PDEs
  • Uncertainty quantification, validation and Bayesian experimental design
  • Evolving interface phenomena, free-boundary problems and diffuse-interface models
  • Applications to engineering mechanics, biomechanics and mechanobiology.

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Many other members of the School undertake scientific computation work as part of their research, including:

 

 

 

Thinking of joining us?

We are keen to create an environment which supports all staff members by providing:

 

 

 

 

Contact

Professor Michael Tretyakov

School of Mathematical Sciences

University of Nottingham
University Park
Nottingham
NG7 2RD

t: +44 (0) 115 95 14954
e: michael.tretyakov@nottingham.ac.uk
 

 

School of Mathematical Sciences

The University of Nottingham
University Park
Nottingham, NG7 2RD

For all enquiries please visit:
www.nottingham.ac.uk/enquire