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Aug 01, 2018
Robotics

Drone Detection Using Depth Maps

Obstacle avoidance is a key feature for safe Unmanned Aerial Vehicle (UAV) navigation. While solutions have been proposed for static obstacle avoidan…
Jan 29, 2016
Instrumentation and Detectors

Improving PWR core simulations by Monte Carlo uncertainty analysis an…

A Monte Carlo-based Bayesian inference model is applied to the prediction of reactor operation parameters of a PWR nuclear power plant. In this non-p…
May 24, 2012
Computation
Methodology

Improved Adaptive Rejection Metropolis Sampling Algorithms

Markov Chain Monte Carlo (MCMC) methods, such as the Metropolis-Hastings (MH) algorithm, are widely used for Bayesian inference. One of the most impo…
Sep 02, 2009
Plasma Physics

Fast ignition of inertial fusion targets by laser-driven carbon beams

Two-dimensional simulations of ion beam driven fast ignition are presented. Ignition energies of protons with Maxwellian spectrum and carbon ions wit…
Jun 13, 2016
Adaptation and Self-Organizing Systems
Physics and Society

Inducing Self-Organized Criticality in a network toy model by neigh…

Complex networks are a recent type of frameworks used to study complex systems with many interacting elements, such as Self-Organized Criticality (SO…
Jun 29, 2018
Numerical Analysis

A p-Multigrid Strategy with Anisotropic p-Adaptation Based on Truncat…

High-order DG methods have become a popular technique in computational fluid dynamics because their accuracy increases spectrally in smooth solutions…
Aug 17, 2013
Computation
Machine Learning

Adaptive Independent Sticky MCMC algorithms

In this work, we introduce a novel class of adaptive Monte Carlo methods, called adaptive independent sticky MCMC algorithms, for efficient sampling …
Nov 10, 2009

Statistics and geometry of cosmic voids

We introduce new statistical methods for the study of cosmic voids, focusing on the statistics of largest size voids. We distinguish three different …
Apr 09, 2019
Graphics
Numerical Analysis

Developable surface patches bounded by NURBS curves

In this paper we construct developable surface patches which are bounded by two rational or NURBS curves, though the resulting patch is not a rationa…
Jan 09, 2018
Machine Learning
Econometric
Risk Management
Applications

Assessing the effect of advertising expenditures upon sales: a Bayesi…

We propose a robust implementation of the Nerlove--Arrow model using a Bayesian structural time series model to explain the relationship between adve…
Apr 26, 2016
Complex Variables

High order recurrence relation, Hermite-Padé approximation, and Nik…

The study of sequences of polynomials satisfying high order recurrence relations is connected with the asymptotic behavior of multiple orthogonal pol…
Jan 31, 2013
Statistical Mechanics
Soft Condensed Matter

On ergodic least-squares estimators of the generalized diffusion co…

We analyse a class of estimators of the generalized diffusion coefficient for fractional Brownian motion $B_t$ of known Hurst index $H$, based on wei…
Mar 29, 2019
Computation and Language

A framework for fake review detection in online consumer electronics …

The impact of online reviews on businesses has grown significantly during last years, being crucial to determine business success in a wide array of …
Feb 15, 2018
Dynamical Systems

Bifurcations, robustness and shape theory of attractors of discrete …

We study in this paper global properties, mainly of topological nature, of attractors of discrete dynamical systems. We consider the Andronov-Hopf bi…
Aug 12, 2016
Populations and Evolution

Stochastic competitive exclusion leads to a cascade of species exti…

Community ecology has traditionally relied on the competitive exclusion principle, a piece of common wisdom in conceptual frameworks developed to des…
Jun 03, 2014
Analysis of PDEs
Mathematical Physics
Optimization and Control

Wigner measures and observability for the Schrödinger equation on the…

We analyse the structure of semiclassical and microlocal Wigner measures for solutions to the linear Schr\"{o}dinger equation on the disk, with Diric…
Jan 31, 2019
Physics and Society

Markov chain approach to anomalous diffusion on Newman-Watts networks

A Markov chain (MC) formalism is used to investigate the mean-square displacement (MSD) of a random walker on Newman-Watts (NW) networks. It leads to…
Feb 07, 2018
Dynamical Systems
Algebraic Topology
Geometric Topology

The Conley index is a powerful topological invariant of dynamical systems that has proved to be very useful. It can be thought of as a far-reaching generalization of the fixed point index to (almost) arbitrary compact invariant sets X, and in fact b…

Infinite series in cohomology: attractors and Conley index

In this paper we study the cohomological Conley index of arbitrary isolated invariant continua for continuous maps $f \colon U \subseteq \mathbb{R}^d…
Oct 17, 2016
Fluid Dynamics

Assignment of fields from particles to mesh

In Computational Fluid Dynamics there have been many attempts to combine the power of a fixed mesh on which to carry out spatial calculations with th…
Aug 02, 2017
Fluid Dynamics

The turbulent cascade in five dimensions

To the naked eye, turbulent flows exhibit whirls of many different sizes. To each size, or scale, corresponds a fraction of the total energy resultin…
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