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The Institute research potential can be roughly classified into two categories:
the development and application of methods of analysis and modelling of real-world complex networked systems, with particular interest in the structure and dynamics of human brain function.
focused on extremal graph theory and computational geometry
study of (non-classical) logics
Examination and development of theoretical backgrounds of the semantic web, mainly from the point of view of modern AI methods and methods of computing by nature
focused on Krylov subspace methods, open questions related to their convergence, associated matrix approximation problems, error estimation and stopping criteria.
sensitivity of the Gauss-Christoffel quadrature and its relationship to the CG and Lanczos methods, extension of the core problem theory to multidimensional case, numerical stability and stopping criteria in iterative solvers, convergence behaviour in relation to various properties of the problem and open questions in the mathematical theory of optimal short term recurrences.
Large scale interactions in brain networks and their breakdown in brain diseases.
Sociální síť informatiků v regionech ČR.
Weather and air pollution forecasts.
Brain, Respiration And Cardiac Causalities In Anaesthesia.
Energy consumption modelling and forecasting.
A method of data mining.
UFO is an interactive system for universal functional optimization that serves for solving both dense medium-size and sparse large-scale optimization problems.
Digitalizace Bolzanových spisů.
Separation algorithm of a neural network with switching units.