Contributed by: Sabine van Huffel LAST ANNOUNCEMENT of the 2nd International Workshop on ----------------- TLS and ERRORS-IN-VARIABLES MODELING August 21--24, 1996 Leuven, Belgium This interdisciplinary workshop is a continuation of a previous workshop on ``Total Least Squares: Concepts, Algorithms, Applications'' which was held in Leuven, Belgium, August 1991, and aims to bring together numerical analysts, statisticians, engineers, economists, chemists, etc. in order to discuss recent advances in Total Least Squares (TLS) techniques and errors-in-variables modeling. The workshop is partly sponsored by the Belgian National Fund for Scientific Research (NFWO), and the European Association for Signal Processing (EURASIP) The different sessions are : The complete advance program (and electronic registration form) are available at http://www.esat.kuleuven.ac.be/sista/workshop. You can also obtain the program and registration form (in latex, postscript or ascii format) via ftp at ftp.esat.kuleuven.ac.be/pub/SISTA/motmans/tls/. You can register via WWW, e-mail or snail mail. Conference committee: Sabine Van Huffel (chairperson), Bart De Moor, Wayne Fuller, Leon Gleser, Gene Golub, Bjorn Ottersten, Rik Pintelon, Pete Stewart and Paul Van Dooren. Workshop secretariat: Ida Tassens Dept. of Electrical Engineering, ESAT/SISTA, Katholieke Universiteit Leuven, Kardinaal Mercierlaan 94, B-3001 Leuven-Heverlee, Belgium tel : 32/16/32.17.09 fax : 32/16/32.19.86 IMPORTANT NOTE: if you are interested in attending this, you are kindly requested to register as soon as possible. - Errors-in-Variables Modeling: Basic Concepts and Relationships - Errors-in-Variables Models and Statistical Estimators (Part 1 and 2) - TLS Algorithms - Other Algorithms for Errors-in-Variables Modeling - Orthogonal Curve fitting - Total Least Norm Problems - Structured Total Least Squares Problems - Errors-in-Variables Estimation in Signal Processing - Poster Presentations (with 10 min. oral introduction) - Errors-in-Variables Estimation in System Identification - Errors-in-Variables Modeling and Prediction