Modern neuroscience increasingly relies on simulations of biological neural networks to unravel the complexities of how our brains work. Mozaik is a framework offering a platform for conducting small and large-scale neural ...

Schwarz methods are numerical methods for solving partial differential equati- ons, based on domain decomposition dividing the original large problem into smaller sub-problems. The problem corresponding to each subdomain ...

The thesis focuses on distortion risk measures, examples of distortion risk measures, their properties, their relationship with spectral risk measures, and their application in portfolio optimization. The subject of the ...

We study the relations between different notions of well-posed optimization problems, with focus on the well-posedness of minimization problems in metric spaces. We begin by introducing the concepts of Tikhonov, Levitin-Polyak, ...

This work utilises machine learning methods in the branch and price algorithm and applies it to the crew and vehicle scheduling problem. Using machine learning, statistical models are taught to select variables for branching. ...

The objective of this thesis is to characterize the surface structure and study the chem- ical stability of the CeO2/Co3O4(111) sample, prepared on Ir(100) substrate. The sample was gradually annealed at temperatures ranging ...

While the results of type system research are being incorporated into many main- stream programming languages, this process has generally been conservative and slow. Recent research results have the potential to greatly ...

This thesis addresses two challenges in medical imaging: ensuring complete coverage during breast ultrasound examinations and providing automated evalu- ation of exercises in speech therapy. For breast ultrasound, an ...

Title: Modification of textile materials by non-equilibrium plasma Author: Natalia Khomiakova Department: Department of Macromolecular Physics Supervisor: doc. RNDr. Ondřej Kylián, Ph.D., department of Macromolecular Physics ...