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Advances in Numerical Modelling

Created: 2019-12-03 11:08
Institution: Isaac Newton Institute for Mathematical Sciences
Description: Background

Numerical modelling is used to good effect in a number of applications and advances in geometric and structure preserving methods will progress this field further. These methods are a special class of numerical algorithms used to compute solutions to differential equations that preserve the underlying geometry and structure of the system. The key advantage of these methods is that they are not only computationally fast, but they also improve the accuracy of the computation since they are both quantitatively and qualitatively precise.

Computations of differential equations are fundamental in the mathematical models of many real-world systems, many of which are highly complex and require advanced numerical methods to solve them. This is particularly the case in areas where it is vital that model simulations are both quick and precise. In recent years there has been a shift to special classes of differential equations and purpose-built algorithms that are tailored to preserve special features of each class. This has given rise to the new fields of geometric numerical integration and of structure preserving discretization. Due to the increased speed and accuracy of geometric and structure preserving methods over other numerical algorithms to solve differential equations they have become an important tool in weather forecasting, medical imaging, defence and space and robotics.

This knowledge exchange day is part of a six month Research Programme at the Isaac Newton Institute on Geometry, compatibility and structure preservation in computational differential equations. This research programme brings together mathematicians from different communities to develop a new generation of space-time discretisation methods for differential equations needed for major scientific applications which call for advanced numerical techniques.
Aims and Objectives

This workshop will showcase recent applications of geometric and structure preserving methods to models of real-world systems, as well as highlight where advances in these types of numerical methods are most needed.

The programme for the day represents the breadth of application areas where geometric and structure preserving numerical methods are used and will include talks from both academic research and end-used perspectives from a number of application areas. The talks will highlight recent advances in these types of numerical methods which have the potential to significantly improve simulations in areas where numerical accuracy and computational speed are vital, such as weather forecasting and medical imaging.

The three sessions will focus on the following application areas where it has been identified that geometric and structure preserving methods have potential for significant impact:

Weather forecasting
Medical imaging
Robotics
Defence and space


This event will bring together mathematicians and scientists working in various areas at the forefront of advances in geometric and structure preserving numerical methods, with end users from industry to further investigate opportunities for the use of these types of methods to improve the numerical solution of real-world problems. Academic talks will highlight state of the art research and techniques in this area and where they could be applied to improve the numerical solution of industrial driven models. End-user talks will reflect challenges where such techniques could be used to improve the speed and accuracy of simulations.
 

Media items

This collection contains 9 media items.

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Media items

Compatible Finite Element Methods for Numerical Weather Prediction

   3 views

Cotter, C
Tuesday 3rd December 2019 - 11:50 to 12:15

Collection: Advances in Numerical Modelling

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Tue 3 Dec 2019


Geometric Numerical Methods for Robot Simulation, Control and Optimisation

   13 views

Bruls, O
Tuesday 3rd December 2019 - 14:35 to 15:05

Collection: Advances in Numerical Modelling

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Tue 3 Dec 2019


Geometry Preserving Regularisation Methods in Medical Image Reconstruction

   4 views

Arridge, S
Tuesday 3rd December 2019 - 12:15 to 12:45

Collection: Advances in Numerical Modelling

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Tue 3 Dec 2019


Outline and Summary of INI Research Programme

   9 views

Celledoni, E
Tuesday 3rd December 2019 - 10:10 to 10:25

Collection: Advances in Numerical Modelling

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Tue 3 Dec 2019