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The paper deals with the problem of deciding if two finite-dimensional linear subspaces over an arbitrary field are identical up to a permutation of the coordinates. This problem is referred to as the permutation code equivalence. We show…

Data Structures and Algorithms · Computer Science 2021-03-05 Magali Bardet , Ayoub Otmani , Mohamed Saeed-Taha

The theory of computational complexity focuses on functions and, hence, studies programs whose interactive behavior is reduced to a simple question/answer pattern. We propose a broader theory whose ultimate goal is expressing and analyzing…

Computational Complexity · Computer Science 2012-09-05 Ugo Dal Lago , Tobias Heindel , Damiano Mazza , Daniele Varacca

Neural network approaches have been applied to computational morphology with great success, improving the performance of most tasks by a large margin and providing new perspectives for modeling. This paper starts with a brief introduction…

Computation and Language · Computer Science 2021-05-21 Ling Liu

In this paper we introduce and study a class of tableaux which we call permutation tableaux; these tableaux are naturally in bijection with permutations, and they are a distinguished subset of the Le-diagrams of Alex Postnikov. The…

Combinatorics · Mathematics 2007-05-23 Einar Steingrimsson , Lauren K. Williams

The Exact Circular Pattern Matching (ECPM) problem consists of reporting every occurrence of a rotation of a pattern $P$ in a text $T$. In many real-world applications, specifically in computational biology, circular rotations are of…

Data Structures and Algorithms · Computer Science 2022-04-21 Will Solow , Matthew Barich , Brendan Mumey

A brief presentation of basic definitions and notation used in permutation patterns research.

Combinatorics · Mathematics 2015-06-23 David Bevan

We review and extend previous results on coincidence of mesh patterns. We introduce the notion of a force on a permutation pattern and apply it to the coincidence classification of mesh patterns, completing the classification up to size…

Combinatorics · Mathematics 2019-10-22 Christian Bean , Bjarki Gudmundsson , Tomas Ken Magnusson , Henning Ulfarsson

The most fundamental problem considered in algorithms for text processing is pattern matching: given a pattern $p$ of length $m$ and a text $t$ of length $n$, does $p$ occur in $t$? Multiple versions of this basic question have been…

Data Structures and Algorithms · Computer Science 2021-11-10 Moses Ganardi , Paweł Gawrychowski

This paper introduces the notion of mesh patterns in multidimensional permutations and initiates a systematic study of singleton mesh patterns (SMPs), which are multidimensional mesh patterns of length 1. A pattern is avoidable if there…

Combinatorics · Mathematics 2024-03-06 Sergey Avgustinovich , Sergey Kitaev , Jeffrey Liese , Vladimir Potapov , Anna Taranenko

Transformers are a type of neural network that have demonstrated remarkable performance across various domains, particularly in natural language processing tasks. Motivated by this success, research on the theoretical understanding of…

Machine Learning · Computer Science 2025-02-18 Naoki Takeshita , Masaaki Imaizumi

We characterize separable multidimensional permutations in terms of forbidden patterns and enumerate them by means of generating function, recursive formula and explicit formula. We find a connection between multidimensional permutations…

Combinatorics · Mathematics 2008-03-25 Andrei Asinowski , Toufik Mansour

We explore how the asymptotic structure of a random permutation of $[n]$ with $m$ inversions evolves, as $m$ increases, establishing thresholds for the appearance and disappearance of any classical, consecutive or vincular pattern. The…

Combinatorics · Mathematics 2024-08-13 David Bevan , Dan Threlfall

We count the number of occurrences of restricted patterns of length 3 in permutations with respect to length and the number of cycles. The main tool is a bijection between permutations in standard cycle form and weighted Motzkin paths.

Combinatorics · Mathematics 2007-05-23 Robert Parviainen

The occurrence of unknown words in texts significantly hinders reading comprehension. To improve accessibility for specific target populations, computational modelling has been applied to identify complex words in texts and substitute them…

Computation and Language · Computer Science 2023-03-10 Kai North , Marcos Zampieri , Matthew Shardlow

Performing machine learning on structured data is complicated by the fact that such data does not have vectorial form. Therefore, multiple approaches have emerged to construct vectorial representations of structured data, from kernel and…

Machine Learning · Computer Science 2019-05-16 Benjamin Paaßen , Claudio Gallicchio , Alessio Micheli , Alessandro Sperduti

Machines whose main purpose is to permute and sort data are studied. The sets of permutations that can arise are analysed by means of finite automata and avoided pattern techniques. Conditions are given for these sets being enumerated by…

Combinatorics · Mathematics 2007-05-23 M. Albert , M. D. Atkinson , N. Ruskuc

In this paper we consider the computational complexity of uniformizing a domain with a given computable boundary. We give nontrivial upper and lower bounds in two settings: when the approximation of boundary is given either as a list of…

Complex Variables · Mathematics 2007-05-23 Ilia Binder , Mark Braverman , Michael Yampolsky

This work connects two mathematical fields - computational complexity and interval linear algebra. It introduces the basic topics of interval linear algebra - regularity and singularity, full column rank, solving a linear system, deciding…

Computational Complexity · Computer Science 2016-02-02 Jaroslav Horáček , Milan Hladík , Michal Černý

We explore various techniques to compress a permutation $\pi$ over n integers, taking advantage of ordered subsequences in $\pi$, while supporting its application $\pi$(i) and the application of its inverse $\pi^{-1}(i)$ in small time. Our…

Data Structures and Algorithms · Computer Science 2009-02-09 Jérémy Barbay , Gonzalo Navarro

Complexity theory as practiced by physicists and computational complexity theory as practiced by computer scientists both characterize how difficult it is to solve complex problems. Here it is shown that the parameters of a specific model…

Disordered Systems and Neural Networks · Physics 2013-05-29 S. N. Coppersmith