Shape correspondence is an important and challenging problem in geometry processing. Generalized map representations, such as functional maps, have been recently suggested as an approach for handling difficult mapping problems, such as partial matching and matching shapes with high genus, within a generic framework. While this idea was shown to be useful in various scenarios, such maps only pro...

High-resolution finite volume methods for solving systems of conservation laws have been widely embraced in research areas ranging from astrophysics to geophysics and aero-thermodynamics. These methods are typically at least second-order accurate in space and time, deliver non-oscillatory solutions in the presence of near discontinuities, e.g., shocks, and introduce minimal dispersive and diffu...

This is an attempt at a direct semantic formalization of rst-order relational-functional languages (the characteristic RELFUN subset) in terms of a generalized model concept. Function-deening conditional equations (or, footed clauses) and active call-by-value expressions (in clause premises) are integrated into rst-order theories. Herbrand models are accomodated to relational-functional program...

The low energy virtual Compton scattering process eN → eNγ offers a new and potentially high resolution window on nucleon structure via measurement of so-called generalized polarizabilities (GPs). We present calculations of GPs within heavy baryon chiral perturbation theory and discuss present experimental efforts.

In this paper, we introduce a computational framework for recovering high-resolution approximation of an unknown function from its low-resolution indirect measurements as well training observations by merging the frameworks generalized sampling and functional principal component analysis. particular, increase signal resolution via data-driven approach, which models interest realization random f...