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The Betti tables of a multigraded module encode the grades at which there is an algebraic change in the module. Multigraded modules show up in many areas of pure and applied mathematics, and in particular in topological data analysis, where…

Computational Geometry · Computer Science 2026-02-17 Yuan Luo , Dmitriy Morozov , Luis Scoccola

We study multilevel techniques, commonly used in PDE multigrid literature, to solve structured optimization problems. For a given hierarchy of levels, we formulate a coarse model that approximates the problem at each level and provides a…

Optimization and Control · Mathematics 2025-05-19 Ferdinand Vanmaele , Yara Elshiaty , Stefania Petra

This work presents a multilevel variant of Stein variational gradient descent to more efficiently sample from target distributions. The key ingredient is a sequence of distributions with growing fidelity and costs that converges to the…

Numerical Analysis · Mathematics 2021-04-06 Terrence Alsup , Luca Venturi , Benjamin Peherstorfer

This paper introduces a multilevel kernel-based approximation method to estimate efficiently solutions to elliptic partial differential equations (PDEs) with periodic random coefficients. Building upon the work of Kaarnioja, Kazashi, Kuo,…

Numerical Analysis · Mathematics 2025-04-23 Alexander D. Gilbert , Michael B. Giles , Frances Y. Kuo , Ian H. Sloan , Abirami Srikumar

The main result of this paper is a characterization of the abelian varieties $B/K$ defined over Galois number fields with the property that the zeta function $L(B/K;s)$ is equivalent to the product of zeta functions of non-CM newforms for…

Number Theory · Mathematics 2019-08-15 Xavier Guitart , Jordi Quer

ELM (Extreme Learning Machine) is a single hidden layer feed-forward network, where the weights between input and hidden layer are initialized randomly. ELM is efficient due to its utilization of the analytical approach to compute weights…

Machine Learning · Computer Science 2016-06-21 Qiuyan Yan , Qifa Sun , Xinming Yan

The aim of this paper is to study the Wold-type decomposition in the class of $m$-isometries. One of our main results establishes an equivalent condition for an analytic $m$-isometry to admit the Wold-type decomposition for $m\ge2$. In…

Functional Analysis · Mathematics 2021-07-08 Jakub Kośmider

Motivated by applications to topological data analysis, we give an efficient algorithm for computing a (minimal) presentation of a bigraded $K[x,y]$-module $M$, where $K$ is a field. The algorithm takes as input a short chain complex of…

Algebraic Topology · Mathematics 2022-05-23 Michael Lesnick , Matthew Wright

Benders decomposition with adaptive oracles was proposed to solve large-scale optimisation problems with a column bounded block-diagonal structure, where subproblems differ on the right-hand side and cost coefficients. Adaptive Benders…

Optimization and Control · Mathematics 2022-09-09 Hongyu Zhang , Nicolò Mazzi , Ken McKinnon , Rodrigo Garcia Nava , Asgeir Tomasgard

We give a classification of all principally polarized abelian surfaces that admit an $(l,l)$-isogeny to themselves, and show how to compute all the abelian surfaces that occur. We make the classification explicit in the simplest case $l=2$.…

Algebraic Geometry · Mathematics 2013-02-13 Reinier Broker , Kristin Lauter , Marco Streng

We propose a novel approach to tackle integrability problem for evolutionary differential-difference equations (D$\Delta$Es) on free associative algebras, also referred to as nonabelian D$\Delta$Es. This approach enables us to derive…

Exactly Solvable and Integrable Systems · Physics 2024-04-04 Vladimir Novikov , Jing Ping Wang

Let $L$ be a set of $n$ lines in the plane, not necessarily in general position. We present an efficient algorithm for finding all the vertices of the arrangement $A(L)$ of maximum level, where the level of a vertex $v$ is the number of…

Computational Geometry · Computer Science 2020-03-03 Dan Halperin , Sariel Har-Peled , Kurt Mehlhorn , Eunjin Oh , Micha Sharir

A novel multi-level method for partial differential equations with uncertain parameters is proposed. The principle behind the method is that the error between grid levels in multi-level methods has a spatial structure that is by good…

Numerical Analysis · Mathematics 2020-04-29 Yous van Halder , Benjamin Sanderse , Barry Koren

In this paper a novel modification of the multilevel Monte Carlo approach, allowing for further significant complexity reduction, is proposed. The idea of the modification is to use the method of control variates to reduce variance at level…

Computational Finance · Quantitative Finance 2017-03-14 Denis Belomestny , Tigran Nagapetyan

We describe how isogenies between principally polarized abelian surfaces (PPAS) with real multiplication (RM) can be decomposed into elementary isogeny types. This leads to a strategy for enumerating the isogeny class of a given PPAS with…

Number Theory · Mathematics 2024-05-31 Jean Kieffer

The combination of numerical integration and deep learning, i.e., ODE-net, has been successfully employed in a variety of applications. In this work, we introduce inverse modified differential equations (IMDE) to contribute to the behaviour…

Numerical Analysis · Mathematics 2021-08-16 Aiqing Zhu , Pengzhan Jin , Beibei Zhu , Yifa Tang

Let $a, \ b \ (b \geq a)$ and $n \ (n \geq 2)$ be nonnegative integers and let $\mathcal{T}(a,b,n)$ be the set of such generalised tournaments, in which every pair of distinct players is connected at most with $b$, and at least with $a$…

Combinatorics · Mathematics 2010-12-21 Antal Iványi

A phylogenetic variety is an algebraic variety parameterized by a statistical model of the evolution of biological sequences along a tree. Understanding this variety is an important problem in the area of algebraic statistics with…

Populations and Evolution · Quantitative Biology 2024-05-22 Luis David Garcia Puente , Marina Garrote-López , Elima Shehu

We explain the linear algebraic framework provided by Tate modules of isogenous abelian varieties in a category-theoretic way.

Number Theory · Mathematics 2026-04-29 Sarah Frei , Katrina Honigs , John Voight

This paper investigates a class of stochastic bilevel optimization problems where the upper-level function is nonconvex with potentially unbounded smoothness and the lower-level problem is strongly convex. These problems have significant…

Machine Learning · Computer Science 2025-01-16 Xiaochuan Gong , Jie Hao , Mingrui Liu
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