We have a broad experience of applying mathematical analysis to practical problems. Statistics, simulation, logic, numerical analysis and queuing theory can be applied,
separately or in tandem to provide insights into the design of experiments, their interpretation, and the application of these interpretations to real social, business and engineering problems.
Examples of our work in this area include
- the design and interpretation of very low subject experiments, allowing meaningful results (positive or negative) to be derived quickly with minimal cost and risk;
- the use of formal simulation technologies to understand the dynamics of customer behaviour — enabling critical tipping points to be identified and managed;
- the application of continuous mathematical analysis to the characterisation of 'complex' systems;
- the use of logic to prove the correctness of safety critical systems;
- the application of queueing theory to the design and layout of both physical and electronic stores.