MuPAD is a computer algebra project of the MathPAD group at the University of Paderborn. MuPAD was designed as a parallel system. The design and implemen tation of MuPAD grew out of the desire to efficiently handle large data generated by algorithms used to investigate the group theoretical structure of nonlinear sys tems. Nevertheless, MuPAD outgrew this original goal and was developed as a general purpose system and should be used as such. MuPAD had two major design goals. As already mentioned, firstly we wanted to prm.ide a tool for fast and efficient handling of large data. This goal was motivated by the special problems which came up in our research on nonlinear systems, where data of several GB are not unusual. As a consequence of this MuPAD is a parallel computer algebra system working on the basis of a shared memor)" machine. Special interfaces, simulating hared memory, will be provided for machines with a different architecture. A sequential version of MuPAD is available which, nevertheless, in its high-end language provides parallel constructs for programming. In this sequential version parallEl blocks are executed at random, thus allowing for logical tests of parallel programs on sequential machines. The sequential MuPAD version is the topic of this refErence manual. The second major design goal was to make sure that future versions of MuPAD could be the basis for a system capable of learning during interactive use."

Scientific Computing, Computational Intelligence und Computational Engineering sind zentrale Methoden der modernen Informationstechnik. Hinter diesen Begriffen stehen verschiedene Konzepte der digitalen Informationsverarbeitung, die z.B. bei der Analyse von Messwertreihen, der Simulation von elektrischen Ausgleichsvorgangen oder bei der automatischen Schrifterkennung zum Einsatz kommen.

Der Autor gibt eine fundierte Darstellung der theoretischen Grundlagen und der softwaretechnischen Umsetzung dieser Methoden anhand konkreter Code-Beispiele in C#. Entsprechend dem breiten Anwendungsspektrum der Informationstechnik werden dabei recht unterschiedliche Themen betrachtet: Frequenzanalyse und statistische Analyseverfahren, Neuronale Netze und Fuzzy-Systeme sowie Methoden der Simulationstechnik.

Das vorliegende Buch wendet sich vornehmlich an Ingenieure und Softwareentwickler. Die anwendungsorientierte Beschreibung der Grundlagen erleichtert das Verstandnis, ohne jedoch auf Exaktheit zu verzichten.

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