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A famous result due to Ko and Friedman (1982) asserts that the problems of integration and maximisation of a univariate real function are computationally hard in a well-defined sense. Yet, both functionals are routinely computed at great…

Computational Complexity · Computer Science 2019-10-23 Michal Konečný , Eike Neumann

Many combinatorial optimisation problems can be modelled as valued constraint satisfaction problems. In this paper, we present a polynomial-time algorithm solving the valued constraint satisfaction problem for a fixed number of variables…

Optimization and Control · Mathematics 2020-03-03 Manuel Bodirsky , Marcello Mamino , Caterina Viola

The analysis of complex nonlinear systems is often carried out using simpler piecewise linear representations of them. A principled and practical technique is proposed to linearize and evaluate arbitrary continuous nonlinear functions using…

Optimization and Control · Mathematics 2017-11-10 Guillermo Gallego , Daniel Berjón , Narciso García

A linear functional of an object from a convex symmetric set can be optimally estimated, in a worst-case sense, by a linear functional of observations made on the object. This well-known fact is extended here to a nonlinear setting: other…

Functional Analysis · Mathematics 2025-12-25 Simon Foucart

Fractional processes have gained popularity in financial modeling due to the dependence structure of their increments and the roughness of their sample paths. The non-Markovianity of these processes gives, however, rise to conceptual and…

Mathematical Finance · Quantitative Finance 2018-02-07 Philipp Harms , David Stefanovits

The main purpose of this paper is to give characterization theorems on derivations as well as on linear functions. Among others the following problem will be investigated: Let $n\in\mathbb{Z}$, $f, g\colon\mathbb{R}\to\mathbb{R}$ be…

Classical Analysis and ODEs · Mathematics 2013-07-03 Eszter Gselmann

The paper is devoted to a detailed analysis of nonlocal error bounds for nonconvex piecewise affine functions. We both improve some existing results on error bounds for such functions and present completely new necessary and/or sufficient…

Optimization and Control · Mathematics 2024-04-23 M. V. Dolgopolik

We give a technical overview of our exact-real implementation of various representations of the space of continuous unary real functions over the unit domain and a family of associated (partial) operations, including integration, range…

Logic in Computer Science · Computer Science 2019-10-14 Michal Konečný , Eike Neumann

A finite sum of exponential functions may be expressed by a linear combination of powers of the independent variable and by successive integrals of the sum. This is proved for the general case and the connection between the parameters in…

Data Analysis, Statistics and Probability · Physics 2007-05-23 Bernhard Kaufmann

We analyze integral representation and $\Gamma$-convergence properties of functionals defined on \emph{piecewise rigid functions}, i.e., functions which are piecewise affine on a Caccioppoli partition where the derivative in each component…

Analysis of PDEs · Mathematics 2020-02-04 Manuel Friedrich , Francesco Solombrino

Computing explicitly the {\epsilon}-subdifferential of a proper function amounts to computing the level set of a convex function namely the conjugate minus a linear function. The resulting theoretical algorithm is applied to the the class…

Optimization and Control · Mathematics 2017-09-26 Anuj Bajaj , Warren Hare , Yves Lucet

In computational practice, most attention is paid to rational approximations of functions and approximations by the sum of exponents. We consider a wide enough class of nonlinear approximations characterized by a set of two required…

Numerical Analysis · Mathematics 2023-01-18 Petr N. Vabishchevich

We derive two types of representation results for increasing convex functionals in terms of countably additive measures. The first is a max-representation of functionals defined on spaces of real-valued continuous functions and the second a…

Functional Analysis · Mathematics 2021-03-30 Patrick Cheridito , Michael Kupper , Ludovic Tangpi

We study the mixed-integer epigraph of a special class of convex functions with non-convex indicator constraints, which are often used to impose logical constraints on the support of the solutions. The class of functions we consider are…

Optimization and Control · Mathematics 2023-09-19 Shaoning Han , Andrés Gómez

BV functions cannot be approximated well by piecewise constant functions, but this work will show that a good approximation is still possible with (countably) piecewise affine functions. In particular, this approximation is area-strictly…

Analysis of PDEs · Mathematics 2015-07-23 Jan Kristensen , Filip Rindler

This paper presents a theory of non-linear integer/real arithmetic and algorithms for reasoning about this theory. The theory can be conceived as an extension of linear integer/real arithmetic with a weakly-axiomatized multiplication…

Logic in Computer Science · Computer Science 2022-11-09 Zachary Kincaid , Nicolas Koh , Shaowei Zhu

The minimax theory for estimating linear functionals is extended to the case of a finite union of convex parameter spaces. Upper and lower bounds for the minimax risk can still be described in terms of a modulus of continuity. However in…

Statistics Theory · Mathematics 2007-06-13 T. Tony Cai , Mark G. Low

Piecewise affine functions on subsets of $\mathbb R^m$ were studied in \cite{Ovchinnikov:02,Aliprantis:06a,Aliprantis:07a,Aliprantis:07}. In this paper we study a more general concept of a locally piecewise affine function. We characterize…

Functional Analysis · Mathematics 2016-03-17 Samer Adeeb , Vladimir G. Troitsky

We prove that if a continuous piecewise-smooth map on $\mathbb{R}^n$ is comprised of two linear functions, has a bounded orbit, and satisfies a certain non-degeneracy condition, then it has a fixed point. The result has important…

Dynamical Systems · Mathematics 2024-12-17 David J. W. Simpson

We consider spline estimates which preserve prescribed piecewise convex properties of the unknown function. A robust version of the penalized likelihood is given and shown to correspond to a variable halfwidth kernel smoother where the…

Methodology · Statistics 2019-11-19 Kurt S. Riedel