Zugl.: Berlin, Humboldt-Univ., Diss., 2005

This thesis deals with the development of algorithms for recursive estimation within the errors-in-variables framework. Within this context attention is focused on two major threads of research: Recursive system identification based on the Frisch scheme and the extension and application of errors-in-variables Kalman filtering techniques. In the first thread, recursive algorithms for the approximate update of the estimates obtained via the Frisch scheme, which makes use of the Yule-Walker model selection criterion, are developed for the case of white measurement noise. Gradient-based techniques are utilised to update the Frisch scheme equations, which involve the minimisation of the model selection criterion as well as the solution of an eigenvalue problem, in a recursive manner. The computational complexity of the resulting algorithms is critically analysed and, by introducing additional approximations, fast recursive Frisch scheme algorithms are developed, which reduce the computational complexity from cubic to quadratic order. In addition, it is investigated how the singularity condition within the Frisch scheme is affected when the estimates are computed recursively. Whilst this first group of recursive Frisch scheme algorithms is developed directly from the offline Frisch scheme equations, it is also possible to interpret the Frisch scheme within an extended bias compensating least squares framework. Consequently, the development of recursive algorithms, which update the estimate obtained from the extended bias compensated least squares technique, is considered. These algorithms make use of the bilinear parametrisation principle or, alternatively, the variable projection method. Finally, two recursive Frisch scheme algorithms are developed for the case of coloured output noise. The second thread, which considers the theory of errors-in-variables filtering for linear systems, extends the approach to deal with a class of bilinear systems, a frequently used subset of nonlinear systems. The application of errors-in-variables filtering for the purpose of system identification is also considered. This leads to the development of a prediction error method based on symmetric innovations, which resembles the joint output method. Both the offline and online implementation of this novel identification technique are investigated.

Most Swiss writers participate actively in the affairs of their country: they take sides on political and economic issues and, like all other Swiss male citizens, cast their votes several times a year. In the tradition of Swiss Literature, the figure of the energetic or didactic writer predominates. Most writers are active in another profession in addition to writing. It could even be said that they consider their art only as a secondary profession. Until recently, the Swiss had a tendency to respect those writers only who had proved their qualities in business or industry before they took to writing. [...]

Zugl.: Lausanne, Univ., Diss., 2007

Zugl.: Debrecen, Univ., Diss., 2004

Hannover, Universiẗat, Diss., 2003.

No description available.

<p> The attempt is made in the following study to present an interpretation of the novel "Stiller" by the Swiss author, Max Frisch, by tracing through the novel the dominant themes of the graven-image or 'Bildnis' and that of the problem of freedom with reference to the novel's main character. </p> / Thesis / Master of Arts (MA)

No description available.

Thesis advisor: Paul Doherty / Thesis advisor: Michael Resler / This thesis is a case study of translation, based upon the translation of Max Frisch's play "Don Juan: oder, die Liebe zur Geometrie". It includes a brief overview of translation theory from the Romans to the present century, an introduction to the life and works of Frisch and post WWII Swiss literature, and a translation of the full text of the play, complete with notes and observations on the translation. / Thesis (BA) — Boston College, 2006. / Submitted to: Boston College. College of Arts and Sciences. / Discipline: English. / Discipline: Germanic Studies. / Discipline: College Honors Program.