Existence and uniqueness of solution for multidimensional parabolic PDAEs arising in semiconductor modeling

This paper concerns with a compact network model combined with distributed models for semiconductor devices. For linear RLC networks containing distributed semiconductor devices, we construct a mathematical model that joins the differential-algebraic initial value problem for the electric circuit with multi-dimensional parabolic-elliptic boundary value problems for the devices. We prove an existence and uniqueness result, and the asymptotic behavior of this mixed initial boundary value problem of partial differential-algebraic equations

Existence and uniqueness of solution for multidimensional parabolic PDAEs arising in semiconductor modeling

This paper concerns with a compact network model combined with distributed models for semiconductor devices. For linear RLC networks containing distributed semiconductor devices, we construct a mathematical model that joins the differential-algebraic initial value problem for the electric circuit with multi-dimensional parabolic-elliptic boundary value problems for the devices. We prove an existence and uniqueness result, and the asymptotic behavior of this mixed initial boundary value problem of partial differential-algebraic equations

Solution of the nonlinear PDAEs by variational iteration method and its applications in nanoelectronics

In this paper, the system of nonlinear partial differential-algebraic equations is solved by the wellknown variational iteration method and the results with high accuracy are obtained by only one iteration. Furthermore, some nanoelectronics models are expressed by partial differential-algebraic equations and one of them is successfully solved by the proposed method. Although solving nonlinear PDAEs is difficult but it is shown that the variational iteration method using Taylor expansion is an efficient method to solve these nonlinear problems

Differential-Algebraic Equations

Differential-Algebraic Equations (DAE) are today an independent field of research, which is gaining in importance and becoming of increasing interest for applications and mathematics itself. This workshop has drawn the balance after about 25 years investigations of DAEs and the research aims of the future were intensively discussed

Numerical Analysis of Nonlinear Partial Differential-Algebraic Equations: A Coupled and an Abstract Systems Approach

Various mathematical models in many application areas give rise to systems of partial differential equations and differential-algebraic equations (DAEs). These systems are called partial or abstract differential-algebraic equations (ADAEs). Being usually discretized by the method of lines the semi-discretized system yields in general a DAE. A substantial mathematical treatment of nonlinear ADAEs is still at an initial stage. We present two approaches treating nonlinear ADAEs. We investigate them with regard to the solvability and uniqueness of solutions and the convergence of solutions of semi-dicretized systems to the original solution. Furthermore we study the sensitivity of a solution with regard to perturbations on the right hand side and in the initial value. The first approach represents an extension of an approach by Tischendorf for the treatment of a specific class of linear ADAEs to the nonlinear case. It is based on the Galerkin approach and the theory of monotone operators for evolution equations. We prove unique solvability of the ADAE and strong convergence of the Galerkin solutions. Furthermore we prove that this class of ADAEs has Perturbation Index 1 and at most ADAE Index 1. In the second approach we formulate two prototypes of coupled systems, an elliptic and a parabolic one. Here a semi-explicit DAE is coupled to an infinite dimensional algebraic operator equation or an evolution equation. For both prototypes we prove unique solvability, strong convergence of Galerkin solutions and a Perturbation Index 1 result. Both prototypes are applied to concrete coupled systems in circuit simulation. In this context we also prove a global solvability result for the nonlinear equations of the Modified Nodal Analysis under suitable topological assumptions

A Dissection concept for DAEs

Diese Arbeit befasst sich mit Differential-algebraischen Gleichungen (DAEs). DAEs spielen eine wichtige Rolle in der Modellierung, der Simulation und der Optimierung von Netzwerken und gekoppelten Problemen in vielen Anwendungsgebieten. Es werden in Bezug auf die Modellierung und die numerische Simulation von DAEs bereits bestehende Ergebnisse diskutiert und erweitert. Des Weiteren wird die globale eindeutige Lösbarkeit und die Sensitivität der Lösungen mit Hinsicht auf Störungen der DAEs untersucht. Häufig wird die Modellierung von multiphysikalischen Anwendungen durch die Kopplung mehrerer einzelner DAE Systeme realisiert. Diese Herangehensweise kann hochdimensionale DAEs erzeugen, welche aufgrund von Instabilitäten nicht von klassischen numerischen Methoden, simuliert werden können. Angesichts dieser Herausforderungen werden drei Ziele formuliert: Erstens wird ein globales Lösungstheorem formuliert und bewiesen, welches auf gekoppelte Systeme angewandt werden kann, um deren Kopplungsansatz mathematisch zu rechtfertigen. Zweitens werden numerische Methoden vorgestellt, welche unter wesentlich schwächeren Strukturannahmen stabil sind und sich daher für die Simulation von gekoppelten Systemen eignen. Drittens wird eine Strategie präsentiert, die es ermöglicht, explizite Methoden auf gekoppelte Systeme anzuwenden. Um diese Ziele zu erreichen, braucht man ein Entkopplungsverfahren für DAEs, welches die folgenden drei Eigenschaften erfüllt: Die Komplexität des Entkopplungsverfahrens sollte nicht die Komplexität der DAE überschreiten. Das Entkopplungsverfahren sollte Eigenschaften wie Symmetrie, Monotonie und positive Definitheit erhalten. Das Entkopplungsverfahren sollte durch einen Schritt-für-Schritt Ansatz mit unabhängigen Schritten realisiert werden. Sowohl das Konzept des Tractability Index als auch das des Strangeness Index liefert kein solches Entkopplungsverfahren. Daher wird hier ein neues Index Konzept eingeführt, das diesen Anforderungen entspricht.This thesis addresses differential-algebraic equations (DAEs). They play an important role in the modeling, simulation and optimization of networks and coupled problems in various applications. The main application in this thesis are coupled problems in electric circuit simulation. We discuss and extend existing results regarding the modeling and numerical simulation of DAEs. Furthermore, we investigate the global unique solvability and the sensitivity of solutions with respect to perturbations of DAEs. Nowadays the modeling of multi-physical applications is often realized by coupling systems of DAEs together with the help of additional coupling terms. This approach may yield high dimensional DAEs which cannot be simulated, due to instabilities, by standard numerical methods. Regarding these challenges we formulate three objectives: First we provide a global solvability theorem which can be applied to coupled systems to mathematically justify their coupling approach. Second we introduce numerical methods which are stable without needing any structural assumptions. Third we provide a way to apply explicit methods to coupled systems to be able to handle the size of the coupled systems by parallelizing the algorithms. To achieve these objectives, we need a decoupling procedure which fulfills the following three properties: The complexity of the decoupling procedure has to reflect the complexity of the DAE, i.e. the decoupling procedure should be state-independent if possible. The decoupling procedure should preserve properties like symmetry, monotonicity and positive definiteness. The decoupling procedure should be realized by a step-by-step approach with independent stages. Both the Tractability Index concept and the Strangeness Index concept do not provide such a decoupling procedure. For this reason we introduce a new index concept which provides such a decoupling procedure

SCEE 2008 book of abstracts : the 7th International Conference on Scientific Computing in Electrical Engineering (SCEE 2008), September 28 – October 3, 2008, Helsinki University of Technology, Espoo, Finland

This report contains abstracts of presentations given at the SCEE 2008 conference.reviewe

Model Order Reduction

An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This three-volume handbook covers methods as well as applications. This third volume focuses on applications in engineering, biomedical engineering, computational physics and computer science