BIRD, BCAM's Institutional Repository Data: Recent submissions
Now showing items 2140 of 680

Automatic fitting of conical envelopes to freeform surfaces for flank CNC machining
(Computer Aided Design, 201710)We propose a new algorithm to detect patches of freeform surfaces that can be well approximated by envelopes of a rotational cone under a rigid body motion. These conical envelopes are a preferable choice from the ... 
Universal bounds for large determinants from noncommutative Hölder inequalities in fermionic constructive quantum field theory
(Mathematical Models and Methods in Applied Sciences (M3AS), 20170802)Efficiently bounding large determinants is an essential step in nonrelativistic fermionic constructive quantum field theory to prove the absolute convergence of the perturbation expansion of correlation functions in terms ... 
Discretizations of the spectral fractional Laplacian on general domains with Dirichlet, Neumann, and Robin boundary conditions
(20170428)In this work, we propose novel discretisations of the spectral fractional Laplacian on bounded domains based on the integral formulation of the operator via the heatsemigroup formalism. Specifically, we combine suitable ... 
Weak and strong $A_p$$A_\infty$ estimates for square functions and related operators
(Proceedings of the American Mathematical Society, 201707)We prove sharp weak and strong type weighted estimates for a class of dyadic operators that includes majorants of both standard singular integrals and square functions. Our main new result is the optimal bound $[w]_{A_p} ... 
Measuring the Classimbalance Extent of Multiclass Problems
(Pattern Recognition Letter, 20170730)Since many important realworld classification problems involve learning from unbalanced data, the challenging classimbalance problem has lately received con siderable attention in the community. Most of the methodological ... 
Adaptive Splitting Integrators for Enhancing Sampling Efficiency of Modified Hamiltonian Monte Carlo Methods in Molecular Simulation
(Langmuir, 20170709)The modified Hamiltonian Monte Carlo (MHMC) methods, i.e., importance sampling methods that use modified Hamiltonians within a Hybrid Monte Carlo (HMC) framework, often outperform in sampling efficiency standard techniques ... 
The relativistic spherical $\delta$shell interaction in $\mathbb{R}^3$: spectrum and approximation
(Journal of Mathematical Physics, 20170803)This note revolves on the free Dirac operator in $\mathbb{R}^3$ and its $\delta$shell interaction with electrostatic potentials supported on a sphere. On one hand, we characterize the eigenstates of those couplings by ... 
A splitting method for the augmented Burgers equation
(BIT Numerical Mathematics, 20170701)In this paper we consider a splitting method for the augmented Burgers equation and prove that it is of ﬁrst order. We also analyze the largetime behavior of the approximated solution by obtaining the ﬁrst term in the ... 
Grouplevel progressive alterations in brain connectivity patterns revealed by diffusiontensor brain networks across severity stages in Alzheimer's disease
(Frontiers in Aging Neuroscience, 20170701)Alzheimer’s disease (AD) is a chronically progressive neurodegenerative disease highly correlated to aging. Whether AD originates by targeting a localized brain area and propagates to the rest of the brain across ... 
Highly rotating fluids with vertical stratification for periodic data and vanishing vertical viscosity
(Revista Matemática Iberoamericana, 201707)We prove that the threedimensional, periodic primitive equations with zero vertical diffusivity are globally well posed if the Rossby and Froude number are sufficiently small. The initial data is considered to be of zero ... 
Sharp weighted estimates involving one supremum
(Comptes Rendus Mathematique, 201707)In this note, we study the sharp weighted estimate involving one supremum. In particular, we give a positive answer to an open question raised by Lerner and Moen. We also extend the result to rough homogeneous singular ... 
Costefficient deployment of multihop wireless networks over disaster areas using multiobjective metaheuristics
(Neurocomputing, 201707)Nowadays there is a global concern with the growing frequency and magnitude of natural disasters, many of them associated with climate change at a global scale. When tackled during a stringent economic era, the allocation ... 
Comparative study of pheromone control heuristics in ACO algorithms for solving RCPSP problems
(Applied Soft Computing, 201711)Constraint Satisfaction Problems (CSP) belong to a kind of traditional NPhard problems with a high impact on both research and industrial domains. The goal of these problems is to find a feasible assignment for a group ... 
Derivation of limit equation for a singular perturbation of a 3D periodic Boussinesq system
(Discrete and Continuous Dynamical Systems  Series A, 20170715)We consider a system describing the dynamics of an hydrodynamical, densitydependent flow under the effects of gravitational forces. We prove that if the Froude number is sufficiently small such system is globally well ... 
Millimeter Wave V2V Communications: Distributed Association and Beam Alignment
(IEEE Journal on Selected Areas in Communications, 2017)Recently millimeterwave bands have been postulated as a means to accommodate the foreseen extreme bandwidth demands in vehicular communications, which result from the dissemination of sensory data to nearby vehicles for ... 
Underwater Robot Task Planning Using MultiObjective MetaHeuristics
(Sensors, 201704)Robotics deployed in the underwater medium are subject to stringent operational conditions that impose a high degree of criticality on the allocation of resources and the schedule of operations in mission planning. In this ... 
A novel Fireworks Algorithm with wind inertia dynamics and its application to traffic forecasting
(IEEE Congress on Evolutionary Computation, 2017)Fireworks Algorithm (FWA) is a recently contributed heuristic optimization method that has shown a promising performance in applications stemming from different domains. Improvements to the original algorithm have been ... 
Natureinspired approaches for distance metric learning in multivariate time series classification
(IEEE Congress on Evolutionary Computation, 2017)The applicability of time series data mining in many different fields has motivated the scientific community to focus on the development of new methods towards improving the performance of the classifiers over this particular ... 
Multiobjective heuristics applied to robot task planning for inspection plants
(IEEE Congress on Evolutionary Computation, 2017)Robotics are generally subject to stringent operational conditions that impose a high degree of criticality on the allocation of resources and the schedule of operations in mission planning. In this regard the socalled ... 
Natureinspired heuristics for the multiplevehicle selective pickup and delivery problem under maximum profit and incentive fairness criteria
(IEEE Congress on Evolutionary Computation, 2017)This work focuses on widescale freight transportation logistics motivated by the sharp increase of online shopping stores and the upsurge of Internet as the most frequently utilized selling channel during the last decade. ...