Opuscula Mathematica
Opuscula Math. 31, no. 4 (), 481-499
http://dx.doi.org/10.7494/OpMath.2011.31.4.481
Opuscula Mathematica

A mixed integer nonlinear programming formulation for the problem of fitting positive exponential sums to empirical data



Abstract. In this work we deal with exponential sum models coming from data acquisition in the empirical sciences. We present a two step approach based on Tikhonov regularization and combinatorial optimization, to obtain stable parameter estimations, which fit the data. We develop properties of the solutions, based on their optimality conditions. Some numerical experiments are shown to illustrate our approach.
Keywords: mixed integer nonlinear programming, regularization, nonlinear least squares.
Mathematics Subject Classification: 90C11, 90C46, 65F22.
Cite this article as:
Adalys Alvarez, Hugo Lara, A mixed integer nonlinear programming formulation for the problem of fitting positive exponential sums to empirical data, Opuscula Math. 31, no. 4 (2011), 481-499, http://dx.doi.org/10.7494/OpMath.2011.31.4.481
 
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ISSN 1232−9274, e-ISSN 2300−6919, DOI https://doi.org/10.7494/OpMath
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