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We give a variant of Basu-Hildebrand-Molinaro's approximation theorem for continuous minimal valid functions for Gomory-Johnson's infinite group problem by piecewise linear two-slope extreme functions [Minimal cut-generating functions are…

Group Theory · Mathematics 2019-04-18 Matthias Köppe , Yuan Zhou

We study continuous (strongly) minimal cut generating functions for the model where all variables are integer. We consider both the original Gomory-Johnson setting as well as a recent extension by Cornu\'ejols and Y{\i}ld{\i}z. We show that…

Optimization and Control · Mathematics 2017-08-29 Amitabh Basu , Robert Hildebrand , Marco Molinaro

For the one dimensional infinite group relaxation, we construct a sequence of extreme valid functions that are piecewise linear and such that for every natural number $k\geq 2$, there is a function in the sequence with $k$ slopes. This…

Optimization and Control · Mathematics 2017-08-29 Amitabh Basu , Michele Conforti , Marco Di Summa , Joseph Paat

In this note we announce the availability of an electronic compendium of extreme functions for Gomory--Johnson's infinite group problem. These functions serve as the strongest cut-generating functions for integer linear optimization…

Optimization and Control · Mathematics 2019-12-24 Matthias Köppe , Yuan Zhou

In this self-contained paper, we present a theory of the piecewise linear minimal valid functions for the 1-row Gomory-Johnson infinite group problem. The non-extreme minimal valid functions are those that admit effective perturbations. We…

Optimization and Control · Mathematics 2022-09-08 Robert Hildebrand , Matthias Köppe , Yuan Zhou

We consider Gomory and Johnson's infinite group model with a single row. Valid inequalities for this model are expressed by valid functions and it has been recently shown that any valid function is dominated by some nonnegative valid…

Optimization and Control · Mathematics 2018-02-06 Amitabh Basu , Michele Conforti , Marco Di Summa

We investigate three competing notions that generalize the notion of a facet of finite-dimensional polyhedra to the infinite-dimensional Gomory-Johnson model. These notions were known to coincide for continuous piecewise linear functions…

Optimization and Control · Mathematics 2019-11-15 Matthias Köppe , Yuan Zhou

We give an algorithm for testing the extremality of minimal valid functions for Gomory and Johnson's infinite group problem that are piecewise linear (possibly discontinuous) with rational breakpoints. This is the first set of necessary and…

Optimization and Control · Mathematics 2017-01-06 Amitabh Basu , Robert Hildebrand , Matthias Köppe

Submodular functions are a fundamental object of study in combinatorial optimization, economics, machine learning, etc. and exhibit a rich combinatorial structure. Many subclasses of submodular functions have also been well studied and…

Data Structures and Algorithms · Computer Science 2013-04-19 Nikhil R. Devanur , Shaddin Dughmi , Roy Schwartz , Ankit Sharma , Mohit Singh

We investigate three competing notions that generalize the notion of a facet of finite-dimensional polyhedra to the infinite-dimensional Gomory-Johnson model. These notions were known to coincide for continuous piecewise linear functions…

Optimization and Control · Mathematics 2017-07-13 Matthias Köppe , Yuan Zhou

We describe new computer-based search strategies for extreme functions for the Gomory--Johnson infinite group problem. They lead to the discovery of new extreme functions, whose existence settles several open questions.

Optimization and Control · Mathematics 2017-01-06 Matthias Köppe , Yuan Zhou

Submodular function minimization is well studied, and existing algorithms solve it exactly or up to arbitrary accuracy. However, in many applications, such as structured sparse learning or batch Bayesian optimization, the objective function…

Machine Learning · Computer Science 2022-03-10 Marwa El Halabi , Stefanie Jegelka

We construct a two-sided discontinuous piecewise linear minimal valid function for the 1-row Gomory--Johnson model which is not extreme, but which is not a convex combination of other piecewise linear minimal valid functions. The new…

Optimization and Control · Mathematics 2018-02-06 Matthias Köppe , Yuan Zhou

This is a survey on the infinite group problem, an infinite-dimensional relaxation of integer linear optimization problems introduced by Ralph Gomory and Ellis Johnson in their groundbreaking papers titled "Some continuous functions related…

Optimization and Control · Mathematics 2017-01-03 Amitabh Basu , Robert Hildebrand , Matthias Köppe

We study universal approximation of continuous functionals on compact subsets of products of Hilbert spaces. We prove that any such functional can be uniformly approximated by models that first take finitely many continuous linear…

Machine Learning · Computer Science 2026-02-04 Andrey Krylov , Maksim Penkin

We study the maximum Hamming distance (or rather, the complementary notion of "minimum approximability") of a general function on a finite group $G$ to either of the sets $\operatorname{End}(G)$ and $\operatorname{Aff}(G)$, of group…

Group Theory · Mathematics 2019-10-31 Alexander Bors

We obtain the best approximation in $L^1(\R)$, by entire functions of exponential type, for a class of even functions that includes $e^{-\lambda|x|}$, where $\lambda >0$, $\log |x|$ and $|x|^{\alpha}$, where $-1 < \alpha < 1$. We also give…

Classical Analysis and ODEs · Mathematics 2011-06-06 Emanuel Carneiro , Jeffrey D. Vaaler

Infinite-dimensional, holomorphic functions have been studied in detail over the last several decades, due to their relevance to parametric differential equations and computational uncertainty quantification. The approximation of such…

Numerical Analysis · Mathematics 2025-02-20 Ben Adcock , Nick Dexter , Sebastian Moraga

We give an algorithm for testing the extremality of a large class of minimal valid functions for the two-dimensional infinite group problem.

Optimization and Control · Mathematics 2017-01-03 Amitabh Basu , Robert Hildebrand , Matthias Köppe

We investigate the approximability of several classes of real-valued functions by functions of a small number of variables ({\em juntas}). Our main results are tight bounds on the number of variables required to approximate a function…

Data Structures and Algorithms · Computer Science 2015-03-31 Vitaly Feldman , Jan Vondrak
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