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Jul 31, 2018
Fluid Dynamics

A Library for Wall-Modelled Large-Eddy Simulation Based on OpenFOAM …

This work presents a feature-rich open-source library for wall-modelled large-eddy simulation (WMLES), which is a turbulence modelling approach that …
Sep 03, 2017
Distributed
Parallel
and Cluster Computing
Data Structures and Algorithms
Performance

Faster Concurrent Range Queries with Contention Adapting Search Trees…

The need for scalable concurrent ordered set data structures with linearizable range query support is increasing due to the rise of multicore compute…
Mar 17, 2016
Computation
Systems and Control
Machine Learning

A flexible state space model for learning nonlinear dynamical systems

We consider a nonlinear state-space model with the state transition and observation functions expressed as basis function expansions. The coefficient…
Oct 18, 2018
By joakim
Computer Vision

Stochastic Distance Transform

The distance transform (DT) and its many variations are ubiquitous tools for image processing and analysis. In many imaging scenarios, the images of …
Mar 18, 2019
Systems and Control
Robotics

Joint axis estimation for fast and slow movements using weighted gy…

Sensor-to-segment calibration is a crucial step in inertial motion tracking. When two segments are connected by a hinge joint, for example in human k…
May 06, 2015
Statistics Theory

Online Hyperparameter-Free Sparse Estimation Method

In this paper we derive an online estimator for sparse parameter vectors which, unlike the LASSO approach, does not require the tuning of any hyperpa…
Nov 01, 2012
Neurons and Cognition

Finite element analysis of neuronal electric fields: the effect of …

Simulation of extracellular fields is one of the substantial methods used in the area of computational neuroscience. Its most common usage is validat…
May 09, 2016
Numerical Analysis

Estimates for the upscaling error in heterogeneous multiscale methods…

This paper concerns the analysis of a multiscale method for wave propagation problems in microscopically nonhomogeneous media. A direct numerical app…
May 06, 2017
Optimization and Control

Distributed, scalable and gossip-free consensus optimization with a…

Distributed algorithms for solving additive or consensus optimization problems commonly rely on first-order or proximal splitting methods. These algo…
Jun 08, 2019
Computers and Society

Mastery Learning-Like Teaching with Achievements

This paper describes the design of a second-year, 20 ECTS credit course on imperative and object-oriented programming. The key design rhetoric is enc…
Jul 04, 2016
Numerical Analysis

Pathwise error bounds in Multiscale variable splitting methods for …

Stochastic computational models in the form of pure jump processes occur frequently in the description of chemical reactive processes, of ion channel…
Feb 05, 2017
Numerical Analysis

Convergence of finite difference methods for the wave equation in two…

When using a finite difference method to solve an initial--boundary--value problem, the truncation error is often of lower order at a few grid points…
Jul 19, 2017
By stefane
Subcellular Processes
Numerical Analysis
Computational Physics

Mesoscopic Modeling of Random Walk and Reactions in Crowded Media

We develop a mesoscopic modeling framework for diffusion in a crowded environment, particularly with applications in the description of living cells.…
Dec 27, 2014
Social and Information Networks
Physics and Society

Multidimensional epidemic thresholds in diffusion processes over in…

Several systems can be modeled as sets of interdependent networks where each network contains distinct nodes. Diffusion processes like the spreading …
Feb 13, 2018
Machine Learning

Stochastic quasi-Newton with adaptive step lengths for large-scale …

We provide a numerically robust and fast method capable of exploiting the local geometry when solving large-scale stochastic optimisation problems. O…
Dec 11, 2017
Computer Vision

Learning Surrogate Models of Document Image Quality Metrics for Aut…

Computation of document image quality metrics often depends upon the availability of a ground truth image corresponding to the document. This limits …
Jun 13, 2014
Programming Languages
Logic in Computer Science

We have defined a system of session types for a calculus based on unreliable broadcast communication. This is the first time that session types have been generalised beyond reliable point-to-point communication. We defined the operational semantics …

Session Types for Broadcasting

Up to now session types have been used under the assumptions of point to point communication, to ensure the linearity of session endpoints, and relia…
Jan 23, 2019
Numerical Analysis
Computational Engineering
Finance
and Science i

Parallelization and scalability analysis of inverse factorization usi…

We present three methods for distributed memory parallel inverse factorization of block-sparse Hermitian positive definite matrices. The three method…
Jan 08, 2019
Machine Learning

Graphical model inference: Sequential Monte Carlo meets deterministic…

Approximate inference in probabilistic graphical models (PGMs) can be grouped into deterministic methods and Monte-Carlo-based methods. The former ca…
Jan 28, 2019
Methodology
Machine Learning

Inferring Heterogeneous Causal Effects in Presence of Spatial Confo…

We address the problem of inferring the causal effect of an exposure on an outcome across space, using observational data. The data is possibly subje…
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