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Related papers: Fourier meets M\"{o}bius: fast subset convolution

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We present a distributed randomized algorithm finding Minimum Spanning Tree (MST) of a given graph in O(1) rounds, with high probability, in the Congested Clique model. The input graph in the Congested Clique model is a graph of n nodes,…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-11-01 Tomasz Jurdzinski , Krzysztof Nowicki

We use lookup tables to design faster algorithms for important algebraic problems over finite fields. These faster algorithms, which only use arithmetic operations and lookup table operations, may help to explain the difficulty of…

Data Structures and Algorithms · Computer Science 2022-11-10 Josh Alman

We present algorithms for length-constrained maximum sum segment and maximum density segment problems, in particular, and the problem of finding length-constrained heaviest segments, in general, for a sequence of real numbers. Given a…

Computational Geometry · Computer Science 2015-03-19 Md. Shafiul Alam , Asish Mukhopadhyay

Important problems across multiple disciplines involve computations on the semiring $(\times, \max)$ (or its equivalents, the negated version $(\times, \min)$), the log-transformed version $(+, \max)$, or the negated log-transformed version…

Data Structures and Algorithms · Computer Science 2016-06-20 Oliver Serang

We develop a novel sampling theorem for functions defined on the three-dimensional rotation group SO(3) by connecting the rotation group to the three-torus through a periodic extension. Our sampling theorem requires $4L^3$ samples to…

Information Theory · Computer Science 2016-01-11 J. D. McEwen , M. Büttner , B. Leistedt , H. V. Peiris , Y. Wiaux

An important area of research in exact algorithms is to solve Subset-Sum-type problems faster than meet-in-middle. In this paper we study Pigeonhole Equal Sums, a total search problem proposed by Papadimitriou (1994): given $n$ positive…

Data Structures and Algorithms · Computer Science 2024-03-29 Ce Jin , Hongxun Wu

Convolutional networks are one of the most widely employed architectures in computer vision and machine learning. In order to leverage their ability to learn complex functions, large amounts of data are required for training. Training a…

Computer Vision and Pattern Recognition · Computer Science 2015-06-09 Michael Mathieu , Mikael Henaff , Yann LeCun

Submodular function minimization (SFM) is a fundamental discrete optimization problem which generalizes many well known problems, has applications in various fields, and can be solved in polynomial time. Owing to applications in computer…

Data Structures and Algorithms · Computer Science 2016-11-01 Deeparnab Chakrabarty , Yin Tat Lee , Aaron Sidford , Sam Chiu-wai Wong

M\"obius transformations play an important role in both geometry and spherical image processing - they are the group of conformal automorphisms of 2D surfaces and the spherical equivalent of homographies. Here we present a novel,…

Computer Vision and Pattern Recognition · Computer Science 2022-05-16 Thomas W. Mitchel , Noam Aigerman , Vladimir G. Kim , Michael Kazhdan

In this article, we develop a new method to approximate numerically the fractional Laplacian of functions defined on $\mathbb R$, as well as some more general singular integrals. After mapping $\mathbb R$ into a finite interval, we…

Numerical Analysis · Mathematics 2022-12-13 Jorge Cayama , Carlota M. Cuesta , Francisco de la Hoz , Carlos J. Garcia-Cervera

We show that the VC-dimension of a graph can be computed in time $n^{\log d+1} d^{O(d)}$, where $d$ is the degeneracy of the input graph. The core idea of our algorithm is a data structure to efficiently query the number of vertices that…

Data Structures and Algorithms · Computer Science 2023-08-21 Pål Grønås Drange , Patrick Greaves , Irene Muzi , Felix Reidl

We obtain an algorithmic meta-theorem for the following optimization problem. Let \phi\ be a Counting Monadic Second Order Logic (CMSO) formula and t be an integer. For a given graph G, the task is to maximize |X| subject to the following:…

Data Structures and Algorithms · Computer Science 2013-09-09 Fedor Fomin , Ioan Todinca , Yngve Villanger

We show how to represent sets in a linear space data structure such that expressions involving unions and intersections of sets can be computed in a worst-case efficient way. This problem has applications in e.g. information retrieval and…

Data Structures and Algorithms · Computer Science 2007-08-27 Philip Bille , Anna Pagh , Rasmus Pagh

The transversal hypergraph problem is the task of enumerating the minimal hitting sets of a hypergraph. It is a long-standing open question whether this can be done in output-polynomial time. For hypergraphs whose solutions have bounded…

Data Structures and Algorithms · Computer Science 2021-10-25 Thomas Bläsius , Tobias Friedrich , Julius Lischeid , Kitty Meeks , Martin Schirneck

The Fast Fourier Transform (FFT) over a finite field $\mathbb{F}_q$ computes evaluations of a given polynomial of degree less than $n$ at a specifically chosen set of $n$ distinct evaluation points in $\mathbb{F}_q$. If $q$ or $q-1$ is a…

Computational Complexity · Computer Science 2023-10-24 Songsong Li , Chaoping Xing

Daniel Simon's 1994 discovery of an efficient quantum algorithm for solving the hidden subgroup problem (HSP) over Z_2^n provided one of the first algebraic problems for which quantum computers are exponentially faster than their classical…

Quantum Physics · Physics 2007-05-23 Gorjan Alagic , Cristopher Moore , Alexander Russell

The M{\"o}bius transform is a crucial transformation into the Boolean world; it allows to change the Boolean representation between the True Table and Algebraic Normal Form. In this work, we introduce a new algebraic point of view of this…

Data Structures and Algorithms · Computer Science 2020-04-24 Morgan Barbier , Hayat Cheballah , Jean-Marie Le Bars

To approximate convolutions which occur in evolution equations with memory terms, a variable-stepsize algorithm is presented for which advancing N steps requires only O(N log(N)) operations and O(log(N)) active memory, in place of O(N^2)…

Numerical Analysis · Mathematics 2007-05-23 María López-Fernández , Christian Lubich , Achim Schädle

We first design an $\mathcal{O}(n^2)$ solution for finding a maximum induced matching in permutation graphs given their permutation models, based on a dynamic programming algorithm with the aid of the sweep line technique. With the support…

Data Structures and Algorithms · Computer Science 2023-06-22 Viet Dung Nguyen , Ba Thai Pham , Phan Thuan Do

For an $n$-element matroid $M$ given by an $n \times n$ matrix representation over a finite field $\mathbb F$ and an integer $k$, we present an $(O_{k,\mathbb F}(n^2)+O(n^\omega))$-time algorithm that either finds a branch-decomposition of…

Data Structures and Algorithms · Computer Science 2026-05-15 Mujin Choi , Tuukka Korhonen , Sang-il Oum