Abstract
In this paper the problem of parameter estimation for exponential sums with three terms is considered. This task consists of finding the set of parameters (amplitudes as well as decay constants) such that the exponential sum attains values in specified intervals at prescribed time data points. These intervals represent uncertainties in the measurements. An interval variant of Prony’s method is given by which intervals can be found containing all the consistent values of the respective parameters. By the use of interval arithmetic these enclosures can also be guaranteed in the presence of rounding errors.
Similar content being viewed by others
References
Anderson, D. H.: Compartmental Modeling and Tracer Kinetics, Lect. Notes Biomaths. 50, Springer-Verlag, Berlin, Heidelberg, New York, 1983.
Bareiss E.H. (1969) Numerical Solution of Linear Equations with Toeplitz and Vector Toeplitz Matrices. Numer. Math. 13, 404–424
Blahut R.S. (1985) Fast Algorithms for Digital Signal Processing. Addison-Wesley Publishing Company, Reading
Esposito, W. R. and Floudas, C. A.: Global Optimization in Parameter Estimation of Nonlinear Algebraic Models via the Error-in-Variables Approach, Industrial and Engineering Chemistry Research 37, (1998), pp. 1841–1858.
Esposito W.R., Floudas C.A. (1998) Parameter Estimation of Nonlinear Algebraic Models via Global Optimization. Computers and Chemical Engineering 22, 213–220
Garloff J. (1986) Solution of Linear Equations Having a Toeplitz Interval Matrix as Coefficient Matrix. Opuscula Mathematica 2, 33–45
Garloff J. (1993) The Bernstein Algorithm. Interval Computations 2, 154–168
Garloff J., Granvilliers L., Smith A.P. (2005). Accelerating Consistency Techniques and Prony’s Method for Reliable Parameter Estimation of Exponential Sums. In: Jermann C., Neumaier A., Sam D. (eds) Global Optimization and Constraint Satisfaction, Lect Notes Comp Sci 3478. Springer-Verlag, Berlin Heidelberg, pp. 31–45
Gau C.-Y., Stadtherr M.A. (1999) Nonlinear Parameter Estimation Using Interval Analysis. AIChE Symp. Ser. 94 (304): 444–450
Gibaldi M., Perrier D.(1982). Pharmacokinetics. Marcel Dekker, New York
Goodman D.K. (1970). Determination of the Number of Terms Necessary for a Class of Approximation Procedures. In: Anderssen R.S., Osborne M.R. (eds) Data Representation. University of Queensland Press, St Lucia, pp. 77–93
Goodman, D. K.: On a Class of Order Determination Problems, PhD thesis, University of New South Wales, Kensington, 1970.
Goodman, D. K. and Hiller, J.: On the Fitting of Curves Specified in an Interval Sense, in: Lin, Shu (ed.), Proceedings of the Fourth Hawaii International Conference on System Sciences, Western Periodicals, North Hollywood, 1971.
Granvilliers L., Cruz J., Barahona P. (2004) Parameter Estimation Using Interval Computations. SIAM Journal on Scientific Computing 26 (2):591–612
Henrici P. (1974). Applied and Computational Complex Analysis, Vol I. John Wiley & Sons, New York, London, Sydney
Hofer, E. P., Tibken, B., and Vlach, M.: Traditional Parameter Estimation Versus Estimation of Guaranteed Parameter Sets, in: Krämer, W. and Wolff von Guddenberg, J. (eds), Scientific Computing, Validated Numerics, Interval Methods, Kluwer Academic Publishers, Boston, Dordrecht, London, 2001, pp. 241–254.
Jaulin L. (2000) Interval Constraint Propagation with Application to Bounded-Error Estimation. Automatica 36, 1547–1552
Jaulin L., Kieffer M., Didrit O., Walter É (2001). Applied Interval Analysis. Springer, London, Berlin, Heidelberg
Jaulin L., Walter É (1993) Set Inversion via Interval Analysis for Nonlinear Bounded-Error Estimation. Automatica 29(4): 1053-1064
Julius R.S. (1972) The Sensitivity of Exponentials and Other Curves to Their Parameters. Computers and Biomedical Research 5, 473–478
Karlin S. (1968). Total Positivity, Vol I. Stanford University Press, Stanford
Lanczos C. (1956). Applied Analysis. Prentice Hall, Englewood Cliffs
Neumaier, A.: Interval Methods for Systems of Equations, Cambridge University Press (Encyclopedia of Mathematics and Its Applications), Cambridge, 1990.
Popova E.D. (2004) Parametric Interval Linear Solver. Numerical Algorithms 37, 345–356
Prony, R.: Essai experimental et analytique sur les lois de la dilatabilité edes fluides élastiques et sur celles de la force expansive de la vapeur de l’eau et de la vapeur de l’alkool, à différentes températures, Journal de l’Ecole Polytechnique 1 (2) (1795), pp. 24–76.
Rokne J. (1972) Explicit Calculation of the Lagrangian Interval Interpolating Polynomial. Computing 9, 149–157
Sheppard C.W., Householder A.S. (1951) The Mathematical Basis of the Interpretation of Tracer Experiments in Closed Steady-State Systems. Journal of Applied Physics 22, 510–520
Trench W.F. (1964) An Algorithm for the Inversion of Finite Toeplitz Matrices. J. SIAM 12 (3): 515–522
Vaughan D.P., Dennis M.J. (1979) Number of Exponential Terms Describing the Solution of an N-Compartmental Mammillary Model: Vanishing Exponentials. Journal of Pharmacokinetics and Biopharmaceutics 7 (5): 511–525
Weiss M. (1990). Theoretische Pharmakokinetik. Verlag Gesundheit, Berlin
Weiß, C.: Einschließung der Nullstellenmengen von Intervallpolynomen kleinen Grades, Diploma thesis, University of Applied Sci./FH Konstanz, Fac. of Comp. Sci, 2004.
Zettler M., Garloff J. (1998) Robustness Analysis of Polynomials with Polynomial Parameter Dependency. IEEE Trans. Automat. Control 43, 425–431
Author information
Authors and Affiliations
Corresponding author
Additional information
Support from the Ministry of Education and Research of the Federal Republic of Germany under contract no. 1705803 and from the DAAD program PROCOPE under contract no. D/0205730 is gratefully acknowledged.
Rights and permissions
About this article
Cite this article
Garloff, J., Idriss, I. & Smith, A.P. Guaranteed Parameter Set Estimation for Exponential Sums: The Three-Terms Case. Reliable Comput 13, 351–359 (2007). https://doi.org/10.1007/s11155-007-9034-9
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11155-007-9034-9