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Piecewise Polynomial Taylor Expansions—The Generalization of Faà di Bruno’s Formula

In: Modeling, Simulation and Optimization of Complex Processes HPSC 2018

Author

Listed:
  • Tom Streubel

    (Humboldt University of Berlin, Zuse Institute Berlin)

  • Caren Tischendorf

    (Humboldt University of Berlin)

  • Andreas Griewank

    (School of Mathematical Sciences and Information Technology)

Abstract

We present an extension of Taylor’s Theorem for the piecewise polynomial expansion of non-smooth evaluation procedures involving absolute value operations. Evaluation procedures are computer programs of mathematical functions in closed form expression and allow a different treatment of smooth operations or calls to the absolute value function. The well known classical Theorem of Taylor defines polynomial approximations of sufficiently smooth functions and is widely used for the derivation and analysis of numerical integrators for systems of ordinary differential- or differential-algebraic equations, for the construction of solvers for continuous non-linear optimization of finite dimensional objective functions and for root solving of non-linear systems of equations. The long term goal is the stabilization and acceleration of already known methods and the derivation of new methods by incorporating piecewise polynomial Taylor expansions. The herein provided proof of the higher order approximation quality of the new generalized expansions is constructive and allows efficiently designed algorithms for the execution and computation of the piecewise polynomial expansions. As a demonstration towards the ultimate goal we will derive a prototype of a $$k$$ k -step method on the basis of polynomial interpolation and the proposed generalized expansions.

Suggested Citation

  • Tom Streubel & Caren Tischendorf & Andreas Griewank, 2021. "Piecewise Polynomial Taylor Expansions—The Generalization of Faà di Bruno’s Formula," Springer Books, in: Hans Georg Bock & Willi Jäger & Ekaterina Kostina & Hoang Xuan Phu (ed.), Modeling, Simulation and Optimization of Complex Processes HPSC 2018, pages 63-82, Springer.
  • Handle: RePEc:spr:sprchp:978-3-030-55240-4_3
    DOI: 10.1007/978-3-030-55240-4_3
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