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Two methods to approximate infinitely divisible random fields are presented. The methods are based on approximating the kernel function in the spectral representation of such fields, leading to numerical integration of the respective…

Probability · Mathematics 2009-10-15 Wolfgang Karcher , Hans-Peter Scheffler , Evgeny Spodarev

We study the algorithmic complexity of fair division problems with a focus on minimizing the number of queries needed to find an approximate solution with desired accuracy. We show for several classes of fair division problems that under…

Combinatorics · Mathematics 2023-11-16 Alexandr Grebennikov , Xenia Isaeva , Andrei V. Malyutin , Mikhail Mikhailov , Oleg R. Musin

In this paper we will discuss two variants of an inexact feasible interior point algorithm for convex quadratic programming. We will consider two different neighbourhoods: a (small) one induced by the use of the Euclidean norm which yields…

Optimization and Control · Mathematics 2012-08-30 Jacek Gondzio

In this paper we study number fields which are Euclidean with respect to a function different from the absolute value of the norm. We also show that the Euclidean minimum with respect to weighted norms may be irrational and not isolated.

Number Theory · Mathematics 2012-02-28 Stefania Cavallar , Franz Lemmermeyer

The goal is to obtain an asymptotic formula for the number of quadratic extensions with bounded discriminant of a some quadratic number field with odd class number. This extends an already known result for Q.

Number Theory · Mathematics 2021-09-22 Alexandr Beneš

We present several quantum algorithms for performing nearest-neighbor learning. At the core of our algorithms are fast and coherent quantum methods for computing distance metrics such as the inner product and Euclidean distance. We prove…

Quantum Physics · Physics 2014-12-12 Nathan Wiebe , Ashish Kapoor , Krysta Svore

The problem is considered of arranging symbols around a cycle, in such a way that distances between different instances of a same symbol be as uniformly distributed as possible. A sequence of moments is defined for cycles, similarly to the…

Data Structures and Algorithms · Computer Science 2018-04-05 Luca Ghezzi , Roberto Baldacci

In this paper we give a lower bound for the least distortion embedding of a distance regular graph into Euclidean space. We use the lower bound for finding the least distortion for Hamming graphs, Johnson graphs, and all strongly regular…

Combinatorics · Mathematics 2007-11-14 Frank Vallentin

Consider the representation of a rational number as a continued fraction, associated with "odd" Euclidean algorithm. In this paper we prove certain properties for the limit distribution function for sequences of rationals with bounded sum…

Number Theory · Mathematics 2011-10-25 Elena Zhabitskaya

In this paper, we apply results on number systems based on continued fraction expansions to modular arithmetic. We provide two new algorithms in order to compute modular multiplication and modular division. The presented algorithms are…

Data Structures and Algorithms · Computer Science 2013-03-15 Mourad Gouicem

In this paper, we continue our previous work on the reduction of algebraic lattices over imaginary quadratic fields for the special case when the lattice is spanned over a two dimensional basis. In particular, we show that the…

Information Theory · Computer Science 2019-05-06 Christian Porter , Shanxiang Lyu , Cong Ling

We study algorithmic problems on subsets of Euclidean space of low fractal dimension. These spaces are the subject of intensive study in various branches of mathematics, including geometry, topology, and measure theory. There are several…

Data Structures and Algorithms · Computer Science 2017-03-29 Anastasios Sidiropoulos , Vijay Sridhar

In this paper we study Euclidean algorithms and the corresponding continued fractions for oriented linear Grassmanians $G(k,n)$. We propose two algorithms: Maximal Element Elimination algorithm and Minimal Element Elimination algorithm. The…

Number Theory · Mathematics 2025-09-10 Maxim Arnold , Oleg Karpenkov

Conditionally on the Generalized Riemann Hypothesis (GRH), we prove the following results: (1) a cyclic number field of degree $5$ is norm-Euclidean if and only if $\Delta=11^4,31^4,41^4$; (2) a cyclic number field of degree $7$ is…

Number Theory · Mathematics 2016-07-05 Pierre Lezowski , Kevin J. McGown

Borrowing inspiration from Marcone and Mont\'{a}lban's one-one correspondence between the class of signed trees and the equimorphism classes of indecomposable scattered linear orders, we find a subclass of signed trees which has an…

Combinatorics · Mathematics 2022-02-10 Shashwat Agrawal , Amit Kuber , Esha Gupta

The minimum $k$-enclosing ball problem seeks the ball with smallest radius that contains at least~$k$ of~$m$ given points in a general $n$-dimensional Euclidean space. This problem is NP-hard. We present a branch-and-bound algorithm on the…

Optimization and Control · Mathematics 2017-07-12 Marta Cavaleiro , Farid Alizadeh

Let k be an imaginary quadratic number field (with class number 1). We describe a new, essentially linear-time algorithm, to list all isomorphism classes of cubic extensions L/k up to a bound X on the norm of the relative discriminant…

Number Theory · Mathematics 2011-08-29 Anna Morra

We generalize the Gaussian moat problem to the finitely many imaginary quadratic fields exhibiting unique factorization in their integers. We map this problem to the Euclidean minimum spanning tree problem and use Delaunay triangulation and…

Number Theory · Mathematics 2014-12-09 Siddharth Prasad

For the each of the five Euclidean rings of complex quadratic integers, we consider a complex continued fraction algorithm with digits in the ring. We show for each algorithm that the maximal digit obeys a Fr\'echet distribution. We use…

Dynamical Systems · Mathematics 2025-10-14 Alexander Baumgartner , Mark Pollicott

Low-dimensional embedding, manifold learning, clustering, classification, and anomaly detection are among the most important problems in machine learning. The existing methods usually consider the case when each instance has a fixed,…

Machine Learning · Computer Science 2012-02-20 Barnabas Poczos , Liang Xiong , Jeff Schneider