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Piecewise linear function

About: Piecewise linear function is a research topic. Over the lifetime, 8133 publications have been published within this topic receiving 161444 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors refer to the generalized piecewise linear (GPL) loss function, which nests the asymmetric piece-wise linear loss, and show that the level of the quantile depends on a generic asymmetry parameter which reflects the possibly distinct costs of underprediction and overprediction.

204 citations

Patent
10 Jan 1992
TL;DR: In this paper, a bar code detection circuit accepts as input the discretized analog output of a CCD array, and performs piecewise linear reconstruction to produce a continuous polylinear output signal.
Abstract: A bar code detection circuit accepts as input the discretized analog output of a CCD array, and performs piecewise linear reconstruction to produces a continuous polylinear output signal. In the region of a bar/space transition, the output signal is a close approximation of the reflectance function of a bar code symbol convolved with the system transfer function of the bar code reader. Linear interpolation is performed in order to determine the offset of a given threshold value from an edge of the CCD analog output.

203 citations

Journal ArticleDOI
TL;DR: Given an affine system on a full-dimensional polyTope, the problem of reaching a particular facet of the polytope, using continuous piecewise-affine state feedback is studied and a constructive procedure yields an affines feedback control law, that solves the reachability problem under consideration.

202 citations

Journal ArticleDOI
TL;DR: In this article, a multi-layered model for frictionless contact analysis of functionally graded materials (FGMs) with arbitrarily varying elastic modulus under plane strain-state deformation has been developed.

202 citations

Journal ArticleDOI
TL;DR: It is shown that the linear programming relaxation of three textbook mixed-integer programming formulations each approximates the cost function by its lower convex envelope, and a relationship between this result and classical Lagrangian duality theory is shown.
Abstract: We study a generic minimization problem with separable nonconvex piecewise linear costs, showing that the linear programming (LP) relaxation of three textbook mixed-integer programming formulations each approximates the cost function by its lower convex envelope. We also show a relationship between this result and classical Lagrangian duality theory.

200 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023179
2022377
2021312
2020353
2019329
2018297