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Related papers: Minor complexities of finite operations

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The essential variables in a finite function $f$ are defined as variables which occur in $f$ and weigh with the values of that function. The number of essential variables is an important measure of complexity for discrete functions. When…

Computational Complexity · Computer Science 2015-01-05 Sl. Shtrakov , I. Damyanov

Given an $n$-ary $k-$valued function $f$, $gap(f)$ denotes the minimal number of essential variables in $f$ which become fictive when identifying any two distinct essential variables in $f$. We particularly solve a problem concerning the…

Discrete Mathematics · Computer Science 2010-03-05 Slavcho Shtrakov , Joerg Koppitz

Given an $n$-ary $k-$valued function $f$, $gap(f)$ denotes the essential arity gap of $f$ which is the minimal number of essential variables in $f$ which become fictive when identifying any two distinct essential variables in $f$. In the…

Discrete Mathematics · Computer Science 2013-02-08 Sl. Shtrakov , J. Koppitz

The study of essential and strongly essential variables in functions defined on finite sets is a part of $k$-valued logic. We extend the main definitions from functions to terms. This allows us to apply concepts and results of Universal…

Rings and Algebras · Mathematics 2008-12-11 Slavcho Shtrakov , Klaus Denecke

We study the arity gap of functions of several variables defined on an arbitrary set A and valued in another set B. The arity gap of such a function is the minimum decrease in the number of essential variables when variables are identified.…

Combinatorics · Mathematics 2016-11-22 Miguel Couceiro , Erkko Lehtonen , Tamás Waldhauser

Classification is a core topic in functional data analysis. A large number of functional classifiers have been proposed in the literature, most of which are based on functional principal component analysis or functional regression. In…

Methodology · Statistics 2025-10-14 Ruoxu Tan , Yiming Zang

A fundamental result in structural graph theory states that every graph with large average degree contains a large complete graph as a minor. We prove this result with the extra property that the minor is small with respect to the order of…

Combinatorics · Mathematics 2013-05-24 Samuel Fiorini , Gwenaël Joret , Dirk Oliver Theis , David R. Wood

A standard tool for classifying the complexity of equivalence relations on $\omega$ is provided by computable reducibility. This reducibility gives rise to a rich degree structure. The paper studies equivalence relations, which induce…

Logic · Mathematics 2019-09-27 Nikolay Bazhenov , Manat Mustafa , Luca San Mauro , Mars Yamaleev

This paper presents a complete classification of minimal graph surfaces that admit graphical transformations into other minimal surfaces. These transformations are functions that map the height function of a minimal graph surface to another…

Differential Geometry · Mathematics 2026-01-26 Sam K Mathew

We discuss the feasibility of the following learning problem: given unmatched samples from two domains and nothing else, learn a mapping between the two, which preserves semantics. Due to the lack of paired samples and without any…

Machine Learning · Computer Science 2020-01-16 Tomer Galanti , Lior Wolf , Sagie Benaim

We provide a necessary and sufficient condition for a simple object in a pivotal k-category to be ambidextrous. In turn, these objects imply the existence of nontrivial trace functions in the category. These functions play an important role…

Representation Theory · Mathematics 2011-12-21 Nathan Geer , Jonathan Kujawa , Bertrand Patureau-Mirand

Functional decomposition of logic circuits has profound influence on all quality aspects of the cost-effective implementation of modern digital systems. In this paper, a relational approach to the decomposition of logic circuits is…

Discrete Mathematics · Computer Science 2007-05-23 Tony T. Lee , Tong Ye

Marginalization -- summing a function over all assignments to a subset of its inputs -- is a fundamental computational problem with applications from probabilistic inference to formal verification. Despite its computational hardness in…

Computational Complexity · Computer Science 2025-07-16 Oliver Broadrick , Sanyam Agarwal , Guy Van den Broeck , Markus Bläser

Separability of multivariate functions alleviates the difficulty in finding a minimum or maximum value of a function such that an optimal solution can be searched by solving several disjoint problems with lower dimensionalities. In most of…

Numerical Analysis · Mathematics 2019-12-09 Takashi Goda

During the last decades, many methods for the analysis of functional data including classification methods have been developed. Nonetheless, there are issues that have not been adressed satisfactorily by currently available methods, as, for…

Methodology · Statistics 2017-02-08 Karen Fuchs , Wolfgang Pößnecker , Gerhard Tutz

The Sensitivity Conjecture and the Log-rank Conjecture are among the most important and challenging problems in concrete complexity. Incidentally, the Sensitivity Conjecture is known to hold for monotone functions, and so is the Log-rank…

Computational Complexity · Computer Science 2016-04-08 Chengyu Lin , Shengyu Zhang

We show that it is equivalent, for certain sets of finite graphs, to be definable in CMS (counting monadic second-order logic, a natural extension of monadic second-order logic), and to be recognizable in an algebraic framework induced by…

Logic in Computer Science · Computer Science 2007-05-23 Pascal Weil

The paper considers the representation of k-valued logical functions in the class of disjunctive normal forms. Various classes of monotone functions of k-valued logic are investigated. Theorems are proved on the coincidence of reduced and…

Logic · Mathematics 2024-02-01 Anvar Kabulov , Abdussattar Baizhumanov , Mansur Berdimurodov

We consider the following class of submodular k-multiway partitioning problems: (Sub-$k$-MP) $\min \sum_{i=1}^k f(S_i): S_1 \uplus S_2 \uplus \cdots \uplus S_k = V \mbox{ and } S_i \neq \emptyset \mbox{ for all }i\in [k]$. Here $f$ is a…

Data Structures and Algorithms · Computer Science 2021-05-11 Richard Santiago

The paper addresses the study and applications of a broad class of extended-real-valued functions, known as optimal value or marginal functions, which are frequently appeared in variational analysis, parametric optimization, and a variety…

Optimization and Control · Mathematics 2025-02-05 Le Phuoc Hai , Felipe Lara , Boris S. Mordukhovich
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