Articolo in rivista

Multi-Kepler GPU vs. multi-Intel MIC for spin systems simulations

We present and compare the performances of two many-core architectures: the Nvidia Kepler and the Intel MIC both in a single system and in cluster configuration for the simulation of spin systems. As a benchmark we consider the time required to update a single spin of the 3D Heisenberg spin glass…

Analysis and short-time extrapolation of stock market indexes through projection onto discrete wavelet subspaces

We consider the problem of short-time extrapolation of blue chips' stocks indexes in the context of wavelet subspaces following the theory proposed by X.-G. Xia and co-workers in a series of papers \cite{XLK,XKZ,LK,LXK}. The idea is first to approximate the oscillations of the corresponding stock…

Hydrodynamics of contraction-based motility in a compressible active fluid

Cell motility is crucial to biological functions ranging from wound healing to immune response. The physics of cell crawling on a substrate is by now well understood, whilst cell motion in bulk (cell swimming) is far from being completely characterized. We present here a minimal model for pattern…

Beyond classical consensus clustering: the Least Squares approach to multiple solutions

Clustering is one of the most important unsupervised learning problems and it consists of finding a common structure in a collection of unlabeled data. However, due to the ill-posed nature of the problem, different runs of the same clustering algorithm applied to the same data-set usually produce…

Visbrain: A Multi-Purpose GPU-Accelerated Open-Source Suite for Multimodal Brain Data Visualization

We present Visbrain, a Python open-source package that offers a comprehensive visualization suite for neuroimaging and electrophysiological brain data. Visbrain consists of two levels of abstraction: (1) objects which represent highly configurable neurooriented visual primitives (3D brain, sources…

Bottom-up coarse-graining of a simple graphene model

Numerical comparison between different Lie groups methods for solving linear oscillatory odes

Penalised robust estimators for sparse and high-dimensional linear models

We introduce a new class of robust M-estimators for performing simultaneous parameter estimation and variable selection in high-dimensional regression models. We first explain the motivations for the key ingredient of our procedures which are inspired by regularization methods used in wavelet…

Iterative approach to self-adapting and altitude-dependent regularization for atmospheric profile retrievals

de Rham wave equation for tensor valued p-forms

The de Rham Laplacian $\Delta_{\rm (dR)}$ for differential forms is a geometric generalization of the usual covariant Laplacian $\Delta$, and it may be extended naturally to tensor-valued $p$-forms using the exterior covariant derivative associated with a metric connection. Using it the wave…