To clarify more precisely the vague but often indicated connection between wavelet and multi-grid theory is the main goal of the article. Therefore we present a multi-level method based on a wavelet approximation of the succesive error of a classical iterative solver. The resulting iteration is a hybrid between a purely algebraic multi-level technique and the usual multi-grid technique related ...

In this work, the main ideas involved in the design of overlapping and multi-overlapping controllers via the Inclusion Principle are discussed and illustrated in the context of the Structural Vibration Control of tall buildings under seismic excitation. A detailed theoretical background on the Inclusion Principle and the design of overlapping controllers is provided. Overlapping and multi-overl...

This paper describes the design and realization of TC-11, a software instrument based on programmable multi-point controllers. TC-11 is a modular synthesizer for the iPad that uses multi-touch and device motion sensors for control. It has a robust patch programming interface that centers around multi-point controllers, providing powerful flexibility. This paper details the origin, design princi...

When individuals migrate in a multi-patch environment, a considerable proportion of their lifetime might be spent in transit between patches. We investigate the effects such a pool of dispersers can have on local stability and dynamics for a variety of multi-patch host-parasitoid models. When an arbitrary number of patches with internal Lotka-Volterra dynamics is coupled via a global pool of di...

In the boundary representation (B-Rep) model, a three-dimensional (3D) surface is de ned by a set of ‘simpler surfaces’ called ‘patches’. Although there are many di erent ways to specify a patch, a common case is that of a 4-sided patch represented by a structured grid of points. For instance, this kind of data can easily be obtained from a CAD system, as it is the mapping of regularly spaced p...

In medical research, many applications require counting and measuring small regions in a large image. Extracting these regions poses a dilemma in terms of segmentation granularity due to fine structures and segmentation complexity due to large image sizes. We propose a constrained spectral graph partitioning framework to address the former while also reducing the segmentation complexity associa...

This paper presents a novel method for detecting saliency in static images based on image sparse representation. For each color channel, first, the image is partitioned into non-overlapping patches and each patch is represented by the way of sparse coding from a learned dictionary of patches from natural scenes. Then, global saliency and local saliency are calculated and fused to attain salienc...

The current trend in Service Oriented Computing (SOC) is to enable support for new delivery models of software and applications. These endeavours impose requirements on the resources and services used, on the way applications are created and on the QoS characteristics of the applications and the supporting infrastructure. Scientific applications on the other hand require improved robustness and...