Abstract
Interval methods are very convenient to describe the uncertainty of measurements and derived parameters in engineering sciences. In this paper, the geodetic determination of points in the 2d or 3d Euclidean space by least-squares estimation is studied. Up to now, two problems limited the applicability of interval mathematics. First, due to overestimation, interval boxes are too pessimistic uncertainty measures for point positions. Second, the shape of the interval boxes depends on the orientation of the geodetic coordinate system to parametrise the configuration. It is shown that both problems can be overcome by zonotopes which describe directly the factual range of the leastsquares problem with interval-valued observations. The advantages of this concept are discussed using typical geodetic network scenarios. In addition, the possible benefit for other engineering applications is motivated.
Similar content being viewed by others
References
Alefeld, G. and Herzberger, J.: Introduction to Interval Computations, Computer Science and Applied Mathematics, Academic Press, Boston, San Diego, New York, 1983.
Bjerhammar, A.: Theory of Errors and Generalized Matrix Inverses, Elsevier, Amsterdam, Lausanne, New York, 1973.
Braems, I., Berthier, F., Jaulin, L., Kieffer, M., and Walter, E.: Guaranteed Estimation of Electrochemical Parameters by Set Inversion Using Interval Analysis, Journal of Electroanalytical Chemistry 495(2000), pp. 1–9.
Coxeter, H.: Regular Polytopes, 3 edition, Dover Publications, New York, 1973.
de Figueiredo, L. H. and Stolfi, J.: Affine Arithmetic: Concepts and Applications, Numerical Algorithms (2004), in print.
de Figuieredo, L. H. and Stolfi, J.: Métodos numéricos auto-validados e aplicaçoes—Self-Validated Numerical Methods and Applications, Instituto de mathemática pura e aplicada, Rio de Janeiro, 1997.
Eppstein, D.: Zonohedra and Zonotopes, Tech.Report 95–53, 1995, http://www.ics.uci.edu/~eppstein
Gawrilow, E. and Joswig, M.: polymake: a Framework for Analyzing Convex Polytopes, in: Kalai, G. and Ziegler, G. M. (eds): Polytopes—Combinatorics and Computation, Birkhäuser Verlag, Boston, Basel, Berlin, 2000, pp. 43–74.
Gawrilow, E. and Joswig, M.: polymake: an Approach to Modular Software Design in Computational Geometry, in: Proceedings of the 17th Annual Symposium on Computational Geometry, Medford, MA, June 3–5, 2001, pp. 222–231.
Goodman, J. E. and O’Rourke, J.(eds): Handbook of Discrete and Computational Geometry, Discrete Mathematics and Its Applications, CRC Press, Boca Raton, New York, London, 1997.
Gruber, P. M. and Willis, J. M.(eds): Handbook of Convex Geometry—2 vol., Elsevier, Amsterdam, Lausanne, New York, 1993.
Heindl, G.: A Method for Verified Computing of Inner and Outer Approximations of the Interval Hull of a Tolerance Polyhedron, in: Alefeld, G., Frommer, A., and Lang, B.(eds), Scientific Computing and Validated Numerics, Akademie Verlag, Berlin, 1996, pp. 207–213.
Henk, M., Richter-Gebert, J., and Ziegler, G. M.: Basic Properties of Convex Polytopes, in: Goodman, J. E. and O’Rourke, J.(eds), Handbook of Discrete and Computational Geometry, Discrete Mathematics and Its Applications, CRC Press, Boca Raton, New York, London, 1997, pp. 243–270.
Jaulin, L., Kieffer, M., Didrit, O., and Walter, E.: Applied Interval Analysis, Springer, London, Berlin, Heidelberg, 2001.
Kieffer, M., Jaulin, L., Walter, E., and Meizel, D.: Robust Autonomous Robot Localization Using Interval Analysis, Reliable Computing 6(3) (2000), pp. 337–362.
Kreinovich, V.: Data Processing Beyond Traditional Statistics: Applications of Interval Computations. A Brief Introduction, Extended Abstracts of APIC’95 (Supplement to the International Journal of Reliable Computing), El Paso, 1995, pp. 13–21.
Kühn, W.: Zonotope Dynamics in Numerical Quality Control, in: Hege, H.-C. and Polthier, K. (eds), Mathematical Visualization, Algorithms, Applications and Numerics, Springer, Berlin, Heidelberg, New York, 1998, pp. 125–134.
Kurzhanski, A. and Vàlyi, I.: Ellipsoidal Calculus for Estimation and Control, Birkhäuser Verlag, Boston, Basel, Berlin, 1997.
Kutterer, H.: Uncertainty Assessment in Geodetic Data Analysis, in: Carosio, A. and Kutterer, H. (eds), First International Symposium on Robust Statistics and Fuzzy Techniques in Geodesy and GIS, Institute of Geodesy and Photogrammetry ETH Zurich, Bericht Nr. 295, 2001, pp. 7–12.
Kutterer, H.: Joint Treatment of Random Variability and Imprecision in GPS Data Analysis, Journal of Global Positioning Systems 1(2) (2002), pp. 96–105.
Kutterer, H.: ZumUmgang mit Ungewissheit in der Geodäsie—Bausteine für eine neue Fehlertheorie, DGK Reihe C 553, Deutsche Geodätische Kommission, München, 2002.
Milanese, M., Norton, J., Piet-Lahanier, H., and Walter, E.(eds): Bounding Approaches to System Identification, Plenium Press, New York, London, 1996.
Morales, D. and Son, T.C.: Interval Methods in Robot Navigation, Reliable Computing 4(1) (1998), pp. 55–61.
Muhanna, R. L. and Mullen, R. L.: Uncertainty in Mechanics Problems—Interval-Based Approach, Journal of Engineering Mechanics 127(2001), pp. 557–566.
Neumaier, A.: Interval Methods for Systems of Equations, Cambridge University Press, Cambridge, New York, Port Chester, 1990.
Neumaier, A.: Taylor Forms—Use and Limits, Reliable Computing 9(1) (2003), pp. 43–79.
Neumaier, A.: The Wrapping Effect, Ellipsoid Arithmetic, Stability and Confidence Regions, Computing—Supplement 9(1993), pp. 175–190.
Rembe, C., Hofer, E. P., and Tibken, B.: Model Based Identification as a New Tool to Extract Physical Parameters of Microactuators from Measurements with Error Bounds, in: Technical Proceedings of the 1999 International Conference on Modeling and Simulation of Microsystems, 1999, pp. 276–279.
Schön, S.: Analyse und Optimierung geodätischer Messanordungen unter besonderer Berücksichtigung des Intervallansatzes, DGK Reihe C 567, Deutsche Geodätische Kommission, München, 2003.
Schön, S. and Kutterer, H.: Interval-Based Description of Measurement Uncertainties and Network Optimization, in: Carosio, A. and Kutterer, H. (eds): First International Symposium on Robust Statistics and Fuzzy Techniques in Geodesy and GIS, Institute of Geodesy and Photogrammetry ETH Zurich, Bericht Nr.295, 2001, pp. 41–46.
Schön, S. and Kutterer, H.: Network Optimization with Respect to Systematic Errors, in: Adam, J. and Schwarz, K.-P.(eds): Vistas for Geodesy in the New Millenium, International Association of Geodesy Symposia, Bd. 125, Springer, New York, Berlin, Heidelberg, 2002, pp. 329–334.
Schön, S. and Kutterer, H.: Realistic Uncertainty Measures for GPS Observations, in: Proceedings of the IUGG2003 General Meeting, Sapporo, Japan, International Association of Geodesy Symposia, Springer, New York, Berlin, Heidelberg, 2004, in print.
Shephard, G. C.: Combinatorial Properties of Associated Zonotopes, Canadian Journal of Mathematics 26(2) (1974), pp. 302–321.
Torge, W.: Geodesy, 3 edition, Walter de Gruyter, Berlin, New York, 2001.
Viertl, R.: Statistical Methods for Non-Precise Data, CRC Press, Boca Raton, NewYork, London, 1996.
Walster, G. and Hansen, E. R.: Overdetermined (Tall) Systems of Nonlinear Equations, Sun Microsystems, 2002.
Ziegler, G. M.: Lectures on Polytopes, Graduate Texts in Mathematics 152, Springer, New York, Berlin, Heidelberg, 1995.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Schön, S., Kutterer, H. Using Zonotopes for Overestimation-Free Interval Least-Squares–Some Geodetic Applications. Reliable Comput 11, 137–155 (2005). https://doi.org/10.1007/s11155-005-3034-4
Received:
Accepted:
Issue Date:
DOI: https://doi.org/10.1007/s11155-005-3034-4