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Related papers: Determinantal computation of minimal local GADs

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In the LOCAL model, low-diameter decomposition is a useful tool in designing algorithms, as it allows us to shift from the general graph setting to the low-diameter graph setting, where brute-force information gathering can be done…

Data Structures and Algorithms · Computer Science 2026-03-25 Yi-Jun Chang

New methods for $D$-decomposition analysis are presented. They are based on topology of real algebraic varieties and computational real algebraic geometry. The estimate of number of root invariant regions for polynomial parametric families…

Optimization and Control · Mathematics 2015-12-31 Oleg O. Vasil'ev

Computation of polynomial relative invariants is a classical tool in algebra. Relative differential invariants are central for the equivalence problem of geometric structures. We address the fundamental problem of finite generation of their…

Differential Geometry · Mathematics 2026-05-19 Boris Kruglikov , Eivind Schneider

Numerical data structures for positive dimensional solution sets of polynomial systems are sets of generic points cut out by random planes of complimentary dimension. We may represent the linear spaces defined by those planes either by…

Numerical Analysis · Mathematics 2009-12-16 Yun Guan , Jan Verschelde

This paper puts forward a new generalized polynomial dimensional decomposition (PDD), referred to as GPDD, comprising hierarchically ordered measure-consistent multivariate orthogonal polynomials in dependent random variables. Unlike the…

Numerical Analysis · Mathematics 2018-10-30 Sharif Rahman

We explore the structure of non-redundant and minimal sets consisting of graded if-then rules. The rules serve as graded attribute implications in object-attribute incidence data and as similarity-based functional dependencies in a…

Artificial Intelligence · Computer Science 2014-12-09 Vilem Vychodil

Marginal MAP inference involves making MAP predictions in systems defined with latent variables or missing information. It is significantly more difficult than pure marginalization and MAP tasks, for which a large class of efficient and…

Machine Learning · Computer Science 2015-11-10 Wei Ping , Qiang Liu , Alexander Ihler

Enumerating minimal transversals in a hypergraph is a notoriously hard problem. It can be reduced to enumerating minimal dominating sets in a graph, in fact even to enumerating minimal dominating sets in an incomparability graph. We provide…

Discrete Mathematics · Computer Science 2025-11-27 Marthe Bonamy , Oscar Defrain , Piotr Micek , Lhouari Nourine

The tensor rank decomposition, also known as canonical polyadic(CP) or simply tensor decomposition, has a long history in multilinear algebra. However, computing a rank decomposition becomes particularly challenging when the rank lies…

Optimization and Control · Mathematics 2025-11-11 Zequn Zheng , Hongchao Zhang , Guangming Zhou

We obtain the first near-linear time deterministic algorithm for negative-weight single-source shortest paths on integer-weighted graphs. Our main ingredient is a deterministic construction of a padded decomposition on directed graphs,…

Data Structures and Algorithms · Computer Science 2026-04-09 Jason Li

A local convergence rate is established for an orthogonal collocation method based on Radau quadrature applied to an unconstrained optimal control problem. If the continuous problem has a sufficiently smooth solution and the Hamiltonian…

Numerical Analysis · Mathematics 2015-09-15 William W. Hager , Hongyan Hou , Anil V. Rao

We are concerned with the problem of decomposing the parameter space of a parametric system of polynomial equations, and possibly some polynomial inequality constraints, with respect to the number of real solutions that the system attains.…

Symbolic Computation · Computer Science 2022-02-11 AmirHosein Sadeghimanesh , Matthew England

We present an approach to reduced-order modelling that builds off recent graph-theoretic work for representation, exploration, and analysis of computed states of physical systems (Banerjee et al., Comp. Meth. App. Mech. Eng., 351, 501-530,…

Numerical Analysis · Mathematics 2022-12-21 Matthew Duschenes , Siddhartha Srivastava , Krishna Garikipati

This article explores the generalized analysis-of-variance or ANOVA dimensional decomposition (ADD) for multivariate functions of dependent random variables. Two notable properties, stemming from weakened annihilating conditions, reveal…

Numerical Analysis · Mathematics 2014-08-05 Sharif Rahman

In this paper, we describe a new method to compute the minimum of a real polynomial function and the ideal defining the points which minimize this polynomial function, assuming that the minimizer ideal is zero-dimensional. Our method is a…

Algebraic Geometry · Mathematics 2013-03-22 Marta Abril Bucero , Bernard Mourrain , Philippe Trebuchet

In this paper we de ne conditional random elds in reproducing kernel Hilbert spaces and show connections to Gaussian Process classi cation. More speci cally, we prove decomposition results for undirected graphical models and we give…

Machine Learning · Computer Science 2012-07-19 Yasemin Altun , Alex Smola , Thomas Hofmann

In this paper we consider general rank minimization problems with rank appearing in either objective function or constraint. We first establish that a class of special rank minimization problems has closed-form solutions. Using this result,…

Optimization and Control · Mathematics 2012-05-30 Zhaosong Lu , Yong Zhang

We show that closures of families of unitary local systems on quasiprojective varieties for which the dimension of a graded component of Hodge filtration has a constant value can be identified with a finite union of polytopes. We also…

Algebraic Geometry · Mathematics 2008-10-20 A. Libgober

We investigate the local descents for special orthogonal groups over p-adic local fields of characteristic zero, and obtain an explicit spectral decomposition of the local descents at the first occurrence index in terms of the local…

Representation Theory · Mathematics 2018-10-17 Dihua Jiang , Lei Zhang

We analyze and present an effective solution to the minimal Gorenstein cover problem: given a local Artin k-algebra $A = k[[x 1 ,. .. x n ]]/I$, compute an Artin Gorenstein $k$-algebra $G = k[[x 1 ,. .. x n ]]/J$ such that…

Algebraic Geometry · Mathematics 2019-10-30 Juan Elias , Roser Homs , Bernard Mourrain