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We show that every NP problem is polynomially equivalent to a simple combinatorial problem: the membership problem for a special class of digraphs. These classes are defined by means of shadows (projections) and by finitely many forbidden…

Computational Complexity · Computer Science 2007-06-27 Gabor Kun , Jaroslav Nesetril

A given subset $A$ of natural numbers is said to be complete if every element of $\mathbb{N}$ is the sum of distinct terms taken from $A$. This topic is strongly connected to the knapsack problem which is known to be NP complete.…

Combinatorics · Mathematics 2023-04-05 Norbert Hegyvári

Drawing network maps automatically comprises two challenging steps, namely laying out the map and placing non-overlapping labels. In this paper we tackle the problem of labeling an already existing network map considering the application of…

Computational Geometry · Computer Science 2015-12-31 Jan-Henrik Haunert , Benjamin Niedermann

We give a representation for labeled ordered trees that supports labeled queries such as finding the i-th ancestor of a node with a given label. Our representation is succinct, namely the redundancy is small-o of the optimal space for…

Data Structures and Algorithms · Computer Science 2013-12-23 Dekel Tsur

Matrix completion is a classical problem in data science wherein one attempts to reconstruct a low-rank matrix while only observing some subset of the entries. Previous authors have phrased this problem as a nuclear norm minimization…

Machine Learning · Computer Science 2019-04-19 Christian Parkinson , Kevin Huynh , Deanna Needell

${ NP}$-complete problem "Hamiltonian cycle"\ for graph $G=(V,E)$ is extended to the "Hamiltonian Complement of the Graph"\ problem of finding the minimal cardinality set $H$ containing additional edges so that graph $G=(V,E\cup H)$ is…

Computational Complexity · Computer Science 2018-08-27 Anatoly Panyukov

A matching is compatible to two or more labeled point sets of size $n$ with labels $\{1,\dots,n\}$ if its straight-line drawing on each of these point sets is crossing-free. We study the maximum number of edges in a matching compatible to…

Computational Geometry · Computer Science 2022-09-07 Oswin Aichholzer , Alan Arroyo , Zuzana Masárová , Irene Parada , Daniel Perz , Alexander Pilz , Josef Tkadlec , Birgit Vogtenhuber

We explore various combinatorial problems mostly borrowed from physics, that share the property of being continuously or discretely integrable, a feature that guarantees the existence of conservation laws that often make the problems…

Mathematical Physics · Physics 2017-11-22 Philippe Di Francesco

We say that a list of real numbers is "symmetrically realisable" if it is the spectrum of some (entrywise) nonnegative symmetric matrix. The Symmetric Nonnegative Inverse Eigenvalue Problem (SNIEP) is the problem of characterising all…

Spectral Theory · Mathematics 2015-01-27 Richard Ellard , Helena Šmigoc

We consider apictorial edge-matching puzzles, in which the goal is to arrange a collection of puzzle pieces with colored edges so that the colors match along the edges of adjacent pieces. We devise an algebraic representation for this…

Computer Vision and Pattern Recognition · Computer Science 2015-07-30 Shahar Z. Kovalsky , Daniel Glasner , Ronen Basri

Partial multi-label learning and complementary multi-label learning are two popular weakly supervised multi-label classification paradigms that aim to alleviate the high annotation costs of collecting precisely annotated multi-label data.…

Machine Learning · Computer Science 2026-02-26 Wei Wang , Tianhao Ma , Ming-Kun Xie , Gang Niu , Masashi Sugiyama

We introduce a new notation for representing labeled regular bipartite graphs of arbitrary degree. Several enumeration problems for labeled and unlabeled regular bipartite graphs have been introduced. A general algorithm for enumerating all…

Discrete Mathematics · Computer Science 2015-12-31 Vivek S. Nittoor

This thesis deals with the enumerative study of combinatorial maps, and its application to the enumeration of other combinatorial objects. Combinatorial maps, or simply maps, form a rich combinatorial model. They have an intuitive and…

Combinatorics · Mathematics 2016-10-03 Wenjie Fang

We study the modular representation theory of the symmetric and alternating groups. One of the most natural ways to label the irreducible representations of a given group or algebra in the modular case is to show the unitriangularity of the…

Representation Theory · Mathematics 2020-12-09 Olivier Brunat , Jean-Baptiste Gramain , Nicolas Jacon

Partial Label Learning (PLL) aims to learn from the data where each training example is associated with a set of candidate labels, among which only one is correct. The key to deal with such problem is to disambiguate the candidate label…

Machine Learning · Computer Science 2019-01-11 Gengyu Lyu , Songhe Feng , Tao Wang , Congyan Lang , Yidong Li

Interpolation theory for complex polynomials is well understood. In the non-commutative quaternionic setting, the polynomials can be evaluated "on the left" and "on the right". If the interpolation problem involves interpolation conditions…

Classical Analysis and ODEs · Mathematics 2014-05-16 Vladimir Bolotnikov

One way of suggesting that an NP problem may not be NP-complete is to show that it is in the class UP. We suggest an analogous new approach---weaker in strength of evidence but more broadly applicable---to suggesting that concrete~NP…

Computational Complexity · Computer Science 2007-05-23 Bernd Borchert , Lane A. Hemaspaandra , Joerg Rothe

We intend to create new concepts aimed at finding necessary and sufficient conditions for Boolean satisfiability so that these conditions can be verified in polynomial time. Based on these conditions it will be possible to create an…

Computational Complexity · Computer Science 2023-11-07 Stepan Margaryan

We propose a new approach to address the text classification problems when learning with partial labels is beneficial. Instead of offering each training sample a set of candidate labels, we assign negative-oriented labels to the ambiguous…

Machine Learning · Statistics 2019-06-11 Jiangning Chen , Zhibo Dai , Juntao Duan , Qianli Hu , Ruilin Li , Heinrich Matzinger , Ionel Popescu , Haoyan Zhai

The label ranking problem is a supervised learning scenario in which the learner predicts a total order of the class labels for a given input instance. Recently, research has increasingly focused on the partial label ranking problem, a…

Machine Learning · Computer Science 2025-10-24 Jiayi Wang , Juan C. Alfaro , Viktor Bengs