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Most algorithms constructing bases of finite-dimensional vector spaces return basis vectors which, apart from orthogonality, do not show any special properties. While every basis is sufficient to define the vector space, not all bases are…

Numerical Analysis · Mathematics 2023-06-21 Patrick Otto Ludl

Given a finite set of arbitrarily distributed points in affine space with arbitrary multiplicity structures, we present an algorithm to compute the reduced Groebner basis of the vanishing ideal under the lexicographic ordering. Our method…

Algebraic Geometry · Mathematics 2013-01-22 Na Lei , Xiaopeng Zheng , Yuxue Ren

We consider the vanishing ideal of an arrangement of linear subspaces in a vector space and investigate when this ideal can be generated by products of linear forms. We introduce a combinatorial construction (blocker duality) which yields…

Combinatorics · Mathematics 2012-01-25 Anders Björner , Irena Peeva , Jessica Sidman

Motivated by applications to the theory of error-correcting codes, we give methods for computing a generating set for the ideal generated by $\beta$-graded polynomials vanishing on certain subsets of a simplicial complete toric variety $X$…

Algebraic Geometry · Mathematics 2025-06-02 Mesut Şahin

The quotient bases for zero-dimensional ideals are often of interest in the investigation of multivariate polynomial interpolation, algebraic coding theory, and computational molecular biology, etc. In this paper, we discuss the properties…

Commutative Algebra · Mathematics 2011-05-03 Zhe Li , Shugong Zhang , Tian Dong

We apply methods of nonstandard mathematics in order to regard analytic geometry in a very different way. For example, complex spaces are seen to be the "standard part" of certain algebraic nonstandard schemes. We construct a category of…

Algebraic Geometry · Mathematics 2008-06-27 Adel Khalfallah , Siegmund Kosarew

The vanishing ideal is a set of polynomials that takes zero value on the given data points. Originally proposed in computer algebra, the vanishing ideal has been recently exploited for extracting the nonlinear structures of data in many…

Machine Learning · Statistics 2018-01-30 Hiroshi Kera , Yoshihiko Hasegawa

In the last decade, the approximate vanishing ideal and its basis construction algorithms have been extensively studied in computer algebra and machine learning as a general model to reconstruct the algebraic variety on which noisy data…

Machine Learning · Statistics 2019-11-12 Hiroshi Kera , Yoshihiko Hasegawa

Approximate vanishing ideal is a concept from computer algebra that studies the algebraic varieties behind perturbed data points. To capture the nonlinear structure of perturbed points, the introduction of approximation to exact vanishing…

Machine Learning · Statistics 2019-11-11 Hiroshi Kera , Yoshihiko Hasegawa

We consider the vanishing ideal of a projective space over a finite field. An explicit set of generators for this ideal has been given by Mercier and Rolland. We show that these generators form a universal Gr\"obner basis of the ideal.…

Algebraic Geometry · Mathematics 2018-07-18 Peter Beelen , Mrinmoy Datta , Sudhir R. Ghorpade

We present a class of nonconforming virtual element methods for general fourth order partial differential equations in two dimensions. We develop a generic approach for constructing the necessary projection operators and virtual element…

Numerical Analysis · Mathematics 2021-01-28 Andreas Dedner , Alice Hodson

In this paper we consider the problem of computing all possible order ideals and also sets connected to 1, and the corresponding border bases, for the vanishing ideal of a given finite set of points. In this context two different approaches…

Commutative Algebra · Mathematics 2017-07-10 Amir Hashemi , Martin Kreuzer , Samira Pourkhajouei

Mathematical programs with vanishing constraints (MPVCs) are a class of nonlinear optimization problems with applications to various engineering problems such as truss topology design and robot motion planning. MPVCs are difficult problems…

Optimization and Control · Mathematics 2020-06-30 Tim Hoheisel , Blanca Pablos , Aram-Alexandre Pooladian , Alexandra Schwartz , Luke Steverango

Deep neural networks have reshaped modern machine learning by learning powerful latent representations that often align with the manifold hypothesis: high-dimensional data lie on lower-dimensional manifolds. In this paper, we establish a…

Machine Learning · Computer Science 2025-06-09 Nico Pelleriti , Max Zimmer , Elias Wirth , Sebastian Pokutta

We construct a space of vector fields that are normal to differentiable curves in the plane. Its basis functions are defined via saddle point variational problems in reproducing kernel Hilbert spaces (RKHSs). First, we study the properties…

Optimization and Control · Mathematics 2018-07-04 Alberto Paganini , Kevin Sturm

In the last decade, the approximate basis computation of vanishing ideals has been studied extensively in computational algebra and data-driven applications such as machine learning. However, symbolic computation and the dependency on term…

Symbolic Computation · Computer Science 2024-01-02 Hiroshi Kera , Yoshihiko Hasegawa

We characterize the variety of compatible fundamental matrix triples by computing its multidegree and multihomogeneous vanishing ideal. This answers the first interesting case of a question recently posed by Br{\aa}telund and Rydell. Our…

Commutative Algebra · Mathematics 2026-03-02 Timothy Duff , Viktor Korotynskiy , Anton Leykin , Tomas Pajdla

We study algebraic varieties associated with the camera resectioning problem. We characterize these resectioning varieties' multigraded vanishing ideals using Gr\"obner basis techniques. As an application, we derive and re-interpret…

Algebraic Geometry · Mathematics 2023-09-11 Erin Connelly , Timothy Duff , Jessie Loucks-Tavitas

Let X be an algebraic toric set in a projective space over a finite field. We study the vanishing ideal, I(X), of X and show some useful degree bounds for a minimal set of generators of I(X). We give an explicit description of a set of…

Commutative Algebra · Mathematics 2015-01-12 Jorge Neves , Maria Vaz Pinto , Rafael H. Villarreal

An introductory overview of vector spaces, algebras, and linear geometries over an arbitrary commutative field is given. Quotient spaces are emphasized and used in constructing the exterior and the symmetric algebras of a vector space.…

History and Overview · Mathematics 2011-10-18 Richard A. Smith
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