Direct solution of piecewise linear systems

preprint2016arXivOpen access

Abstract

Let SS be a real n×nn\times n matrix, z,c^∈Rnz,\hat c\in \mathbb R^n, and ∣z∣| z| the componentwise modulus of zz. Then the piecewise linear equation system z−S∣z∣=c^z-S| z| = \hat c is called an \textit{absolute value equation} (AVE). It has been proven to be equivalent to the general \textit{linear complementarity problem}, which means that it is NP hard in general. We will show that for several system classes the AVE essentially retains the good natured solvability properties of regular linear systems. I.e., it can be solved directly by a slightly modified Gaussian elimination that we call the signed Gaussian elimination. For dense matrices SS this algorithm has the same operations count as the classical Gaussian elimination with symmetric pivoting. For tridiagonal systems in nn variables its computational cost is roughly that of sorting nn floating point numbers. The sharpness of the proposed restrictions on SS will be established.

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