An important problem of collective non-ruin is the estimation of the probabilities R(z,t) and R(z) of the finite and ultimate non-ruin, respectively, where t is time and z the initial reserve. The governing equations are first-order Volterra integro-differential equations, partial (PVIDEs) in...

The quasi-hydrodynamic model for semiconductor devices is a typical example of non-local models which, in contrast to the conventional drift-diffusion models, allows to account for non-equilibrium processes in semiconductor plasma. In this paper, we present results of a numerical simulation of...

The Information Power Grid (IPG) refers to the world-wide infrastructure of computers and their interconnections. We are only at the very beginning of exploring applications and system software that can exploit these resources effectively and, at the same time, provide adequate interfaces to the...

A new fourth-order compact difference scheme for the three-dimensional (3D) convection diffusion equation with variable coefficients is presented. The novelty of this new difference scheme is that it only requires 15 grid points and that it can be decoupled with two colors. The entire...

In this paper, we present a new approach for the parallel generation and partitioning of unstructured 3D Delaunay meshes. The new approach couples the mesh generation and partitioning problems into a single optimization problem. Traditionally, these two problems are solved separately, first...

Maximum likelihood parameter estimation becomes easy by augmenting the parameter space of the probability distribution. A newly proposed extended model of the four-parameter generalized gamma distribution includes the three-parameter generalized extreme-value distribution which includes the...

We define bond graphs in a completely new way, and thereby justify the bond graph terminology in the framework of classical network theory. We discuss some interrelations between bond graphs and Minty networks.

The paper extends object-oriented modelling (OOM) to physical systems including distributed parameter components. An approach is proposed where the basic paradigms of OOM (e.g. encapsulation, independence of module interface from internal behaviour, non-causal model format) are ensured. The...

Although digital computers have supplanted analog computers for the simulation of physical systems, and digital signal processors have largely replaced analog devices in control systems, most engineers still think about mechatronic systems in analog terms. Skilled circuit designers and many...

The parameter identification using artificial neural networks is becoming very popular. In this chapter, the parameters of dynamical system are identified using artificial neural networks. A fast gradient decent technique for the parameter identification of a linear dynamical system has been...