2014
DOI: 10.4236/am.2014.520305
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The Best Piecewise Linearization of Nonlinear Functions

Abstract: In this paper, we propose a method for finding the best piecewise linearization of nonlinear functions. For this aim, we try to obtain the best approximation of a nonlinear function as a piecewise linear function. Our method is based on an optimization problem. The optimal solution of this optimization problem is the best piecewise linear approximation of nonlinear function. Finally, we examine our method to some examples.

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Cited by 4 publications
(2 citation statements)
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“…Salah satu contoh yang berbentuk persamaan diferensial biasa nonlinier adalah persamaan Van der Pol. Menurut Mazarei, Behroozpoor dan Kamyad (2014), linearisasi pada sistem persamaan nonlinier adalah cara efektif dalam menentukan solusi pendekatan dan analisa system (Mazarei, Behroozpoor, & Kamyad, 2014).…”
Section: A Latar Belakangunclassified
“…Salah satu contoh yang berbentuk persamaan diferensial biasa nonlinier adalah persamaan Van der Pol. Menurut Mazarei, Behroozpoor dan Kamyad (2014), linearisasi pada sistem persamaan nonlinier adalah cara efektif dalam menentukan solusi pendekatan dan analisa system (Mazarei, Behroozpoor, & Kamyad, 2014).…”
Section: A Latar Belakangunclassified
“…In [12], the authors introduced a method to find the best piecewise linearization of nonlinear functions based on an optimization problem that is reduced to linear programming. Another algorithm that is used to find the optimal piecewise linearization for a predefined number of linear segments with particle swarm optimization (PSO), without the knowledge of the function and without ideal partitions, is introduced in [13].…”
Section: Introductionmentioning
confidence: 99%