Study of computationally intensive methods in theoretical computer science, discrete mathematics, combinatorial optimisation, numerical analysis and algebra with applications in the natural and social sciences. In mathematical modelling, scientific computation and data analysis, we are facing increasing amounts of data as well as an increased demand for computational skills. Our research activities and objectives cover a selection of areas based on computationally intensive methods for solving problems, formulating hypotheses and performing analyses in a variety of fields ranging from pure mathematics to the natural and social sciences and industry. Our methodology combines insights into deep mathematical and scientific results with their applicability in real-world situations.
Computationally intensive methods in theoretical computer science, discrete mathematics, combinatorial optimisation, numerical analysis and algebra with applications in the natural and social sciences
TitleComputationally intensive methods in theoretical computer science, discrete mathematics, combinatorial optimisation, numerical analysis and algebra with applications in the natural and social sciences
Code / AcronymP1-0294
TypeARRS project
ClassificationResearch programme
Duration1. 1. 2009 – 31. 12. 2027
Lead partnerInštitut za matematiko, fiziko in mehaniko
Project leaderdr. Primož Potočnik
Partner organisationsUniverza v Ljubljani, Fakulteta za matematiko in fiziko; ABELIUM d.o.o., raziskave in razvoj; UP IAM