Problem Type 1 typically involves graphing piecewise functions with relatively simple sub-functions, such as linear functions, constants, or simple quadratics. Here’s a structured approach to graph ...

A python implementation of the algorithm used to generate optimal piecewise linear approximations of convex functions proposed by Imamoto and Tang [1]. The algorithm uses an iterative search to find ...

Abstract: In this paper we introduce a digital architecture implementing piecewise-affine functions defined over domains partitioned into polytopes: the functions are linear affine over each polytope.

Abstract: We study representations of piecewise-smooth signals on graphs. We first define classes for smooth, piecewise-constant, and piecewise-smooth graph signals, followed by a series of ...

Introduction: The domain of a function is the set of all possible input values (x-values) for which the function is defined. Understanding the domain is crucial for solving mathematical problems and ...

I wanted to get a quick opinion from people on possible solutions on the issue where attention+quant fusion is incompatible with splitting_ops and hence piecewise cudagraphs. I've thought about it ...