Scientific computing – as it is considered within ANGE – is the development of numerical tools for the efficient implementation and simulation of the models we had proposed and analysed. This is clearly related to the mathematical and numerical analysis of the considered models but, scientific computing has further characteristics:
- in most projects of this research axis, our numerical results are compared with the experimental data provided by our collaborators
- in our case, it is strongly related to the final applications or to transfer activities
- it requires to interact with the end-users and to consider real situations and test cases often far more complex than those considered in publications in applied mathematics journals
- scientific computing requires to consider the feasibility (computational costs, space and time size domain, parallelization, …).
