Numerical algorithms and intelligent software

Advanced numerical algorithms will be developed for state-of-the-art applications, such as high order adaptive finite elements for solid and fluid mechanics, numerical optimization, multi-scale methods, and new parallel methods for molecular simulation and data analysis. Algorithms will be coded using better systems of markup and annotation, and new compilation techniques will be introduced by the computer scientists and implemented in collaboration with researchers at EPCC.

This paradigm shifts the details of implementation to compilers, but compilers informed by algorithm developers via annotation. The methods developed will have clear potential to impact the key themes of the EPSRC delivery plan, including energy, health sciences, nanoscience, and the digital economy.

To strengthen the uptake of new methodology among the research base, algorithms will be tested and their performance evaluated in collaboration with applications scientists and engineers.

Connections to national laboratories such as Daresbury and Rutherford Appleton are also planned. The project is further enhanced through funded connections with Cambridge University, the University of Warwick, and the Wales Institute for Mathematical and Computational Science.

Yellowlees, Professor L. Ainsworth, Professor M. A mixed virtual element method for the time-fractional fourth-order subdiffusion equation Authors Yadong Zhang Minfu Feng. A priori and a posteriori error analysis for virtual element discretization of elliptic optimal control problem Authors Qiming Wang Zhaojie Zhou. This journal has 93 open access articles. View all articles.

For authors Submission guidelines. Open Access fees and funding. Contact the journal. Ghoniem Ronald C. Steven G. Johnson Associate Professor of Applied Mathematics. Jacob K. White Cecil H. Pablo A. Luca Daniel Professor of Electrical Engineering. Richard Braatz Edwin R.