Cognitive models focus on information and the computational manipulation of information. Rational models optimize the function that relates the input of a process to the output. In contrast, efficient algorithms minimize the computational cost of processing in terms of time. Minimizing time is a better criterion for normative models, because it reflects the energy costs of a physical system. Tw...

A Bayesian probabilistic framework for parameter estimation is applied for updating large-order finite element models of structures using response measurements. Fast and accurate component mode synthesis (CMS) techniques are proposed, consistent with the finite element model parameterization, to achieve drastic reductions in computational effort. Further computational savings are achieved by ad...

A new two-dimensional panel technique has been developed to solve Laplacian flows, which eliminates the edge effect present in traditional panel methods. Such a method is very useful for applications where the velocity induced by the panels is required at arbitrary locations. Particle based flow solvers are a prime example. The method, however, requires considerably more computational effort. I...

Requirements elicitation is one of the first processes of software development and it is intended to be hand-made by means of analyst-stakeholder interviews. As a naturallanguage-based activity, requirements elicitation can take advantages of Computational Linguistics techniques, in order to achieve better results looking for automation in this field. In this paper we survey some of the work re...

Transparent boundary conditions (TBCs) are an important tool for the truncation of the computational domain in order to compute solutions on an unbounded domain. In this work we want to show how the standard assumption of ‘compactly supported data’ could be relaxed and derive TBCs for the wide angle parabolic equation directly for the numerical scheme on the discrete level. With this inhomogene...

In this paper we present a distributed Evolutionary Algorithm (EA) whose population is structured using newscast, a gossiping protocol. This algorithm has been designed to deal with computationally expensive problems via massive scalability; therefore, we analyse the response time of the model using large instances of well-known hard optimization problems that require from EAs a (sometimes expo...

Many domains such as scientific computing and neuroscience require end users to compose heterogeneous computational entities to automate their professional tasks. However, an issue that frequently hampers such composition is datamismatches between computational entities. Although, many composition frameworks today provide support for data mismatch resolution through special-purpose data convert...

The aim of this paper is to introduce a new numerical algorithm for solving the continuous time non-linear filtering problem. In particular, we present a particle filter that combines the Kusuoka-Lyons-Victoir cubature method on Wiener space (KLV) [13], [18] to approximate the law of the signal with a minimal variance ”thining” method, called the tree based branching algorithm (TBBA) to keep th...

In order to simulate electrochemical reactions in the framework of quantum chemical methods, density functional theory, methods can be devised that explicitly include the electrochemical potential. In this work we discuss a Grand Canonical approach in the framework of density functional theory in which fractional numbers of electrons are used to represent an open system in contact with an elect...

The development of parallel applications requires adequate tools to help the programmer to create applications that can efficiently execute on a wide range of computing platforms. This paper describes a joint effort to build a programming framework that can transparently execute parallel applications on multiprocessor systems, clusters and computational Grids. This environment integrates a Java...