Flow control and optimization is at once an old and a new subject of mathematical and
engineering interest. It has fascinated many great minds, among them those of Newton and …

Second order methods for open loop optimal control problems governed by the two-
dimensional instationary Navier--Stokes equations are investigated. Optimality systems …

Do you know the difference between an optimist and a pessimist? The former believes we
live in the best possible world, and the latter is afraid that the former might be right.… In that …

This dissertation presents theory and implementations of numerical methods for accurately
and efficiently solving optimal control problems. The methods we consider are based on …

The discovery of the theory of compressed sensing brought the realisation that many inverse
problems can be solved even when measurements are “incomplete”. This is particularly …

We develop quasi-Newton (QN) methods for distributed parameter estimation problems
which evolve from electromagnetics, where the forward problem is governed by some form …

Several cardiovascular diseases are caused from localised abnormal blood flow such as in
the case of stenosis or aneurysms. Prevailing theories propose that the development is …

A nonlinear model predictive controller is designed for a continuous reheating furnace for
steel slabs. Based on a first-principles mathematical model, the controller defines local …

A dynamic optimization strategy is presented to generate customized equations of state
(EOS) for the numerical simulation of non-ideal fluids at high density ratio. While stable …

PDE-constrained optimization refers to the optimization of systems governed by PDEs. The
simulation problem is to solve the PDEs for the state variables (eg, displacement, velocity …