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May 27, 2026Numerical Algorithms0 citationsOpen Access

An alternative variable projection formulation for small-size separable models

CCCostanza ContiACAnnie CuytWLWen-shin Lee

Key Points

  • This research aims to explore a new formulation of variable projection to enhance parameter estimation in small-size separable models.
  • Focus on small-size Prony-like least squares interpolation problems in exponential and polynomial schemes.
  • Develop an alternative variable projection formulation to derive explicit formulas for unknown parameters.
  • Utilize closed form expressions to simplify computations in spline generalizations.
  • Achieved closed form expressions for parameter estimation, enhancing efficiency.
  • Demonstrated that the alternative formulation reduces reliance on trial and error for frequency parameters.
  • Showed significant improvements in the computational aspects of fitting exponential type spline models.

Abstract

Abstract We consider several small-size Prony-like separable least squares interpolation problems in exponential, polynomial and mixed data fitting schemes, for which the variable projection objective function can easily be written down in closed form. An alternative formulation of variable projection is then applied to the closed form expression, yielding explicit formulas for the unknown parameters. The technique is especially useful in various exponential type spline generalizations where the free frequency parameter is otherwise mostly determined by trial and error.

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Cite This Study

Conti et al. (2026) studied this question.

synapsesocial.com/papers/6a168b280c924ddd1bd5a19ehttps://doi.org/10.1007/s11075-025-02307-2
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