Solving piecewise linear equations in abs-normal form
Andreas Griewank, Jens Uwe Bernt, Manuel Radons, Tom Streubel

TL;DR
This paper investigates solving piecewise linear equations in abs-normal form, analyzing their properties, related complementarity problems, and solution methods, with implications for iterative solving of piecewise smooth systems.
Contribution
It introduces a detailed analysis of piecewise linear equations in abs-normal form, connecting them to complementarity problems and exploring solution methods like Newton variants and fixed point iterations.
Findings
CPL cannot be open without being injective.
Properties of solution schemes relate to the Schur complement's spectral radius.
Numerical experiments and solver combinations are yet to be developed.
Abstract
With the ultimate goal of iteratively solving piecewise smooth (PS) systems, we consider the solution of piecewise linear (PL) equations. PL models can be derived in the fashion of automatic or algorithmic differentiation as local approximations of PS functions with a second order error in the distance to a given reference point. The resulting PL functions are obtained quite naturally in what we call the abs-normal form, a variant of the state representation proposed by Bokhoven in his dissertation. Apart from the tradition of PL modeling by electrical engineers, which dates back to the Master thesis of Thomas Stern in 1956, we take into account more recent results on linear complementarity problems and semi-smooth equations originating in the optimization community. We analyze simultaneously the original PL problem (OPL) in abs-normal form and a corresponding complementary system…
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