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We prove descent theorems for semiorthogonal decompositions using techniques from derived algebraic geometry. Our methods allow us to capture more general filtrations of derived categories and even marked filtrations, where one descends not…

Algebraic Geometry · Mathematics 2021-01-12 Benjamin Antieau , Elden Elmanto

Cylindrical algebraic decomposition is one of the most important tools for computing with semi-algebraic sets, while triangular decomposition is among the most important approaches for manipulating constructible sets. In this paper, for an…

Symbolic Computation · Computer Science 2009-03-31 Changbo Chen , Marc Moreno Maza , Bican Xia , Lu Yang

We present a method to obtain higher order integrals and polynomial algebras for two-dimensional superintegrable systems from creation and annihilation operators. All potentials with a second and a third order integrals of motion separable…

Mathematical Physics · Physics 2010-04-28 Ian Marquette

The set of common roots of a finite set $I$ (it is an ideal) of homogeneous polynomials is known as projective algebraic set $V$. In this article I show how to dualize such projective algebraic sets $V$ by elimination of variables from a…

Algebraic Geometry · Mathematics 2011-01-14 Călin-Şerban Bărbat

We present a symbolic tool that provides robust algebraic methods to handle automatic deduction tasks for a dynamic geometry construction. The main prototype has been developed as two different worksheets for the open source computer…

Mathematical Software · Computer Science 2012-02-23 Francisco Botana , Miguel A. Abánades

In this paper we describe an efficient involutive algorithm for constructing Groebner bases of polynomial ideals. The algorithm is based on the concept of involutive monomial division which restricts the conventional division in a certain…

Commutative Algebra · Mathematics 2007-05-23 Vladimir P. Gerdt

We consider sweeping domain decomposition preconditioners to solve the Helmholtz equation in the case of stripwise domain decomposition with or without overlaps. We unify their derivation and convergence studies by expressing them as…

Numerical Analysis · Mathematics 2023-12-06 Nacime Bouziani , Frédéric Nataf , Pierre-Henri Tournier

We present a novel certified and complete algorithm to compute arrangements of real planar algebraic curves. It provides a geometric-topological analysis of the decomposition of the plane induced by a finite number of algebraic curves in…

Computational Geometry · Computer Science 2012-01-13 Eric Berberich , Pavel Emeliyanenko , Alexander Kobel , Michael Sagraloff

Parameterized algebraic curves and surfaces are widely used in geometric modeling and their manipulation is an important task in the processing of geometric models. In particular, the determination of the intersection loci between points,…

Commutative Algebra · Mathematics 2021-08-02 Laurent Busé , Marc Chardin

In this paper we study the problem of deciding whether two disjoint semialgebraic sets of an algebraic variety over R are separable by a polynomial. For that we isolate a dense subfamily of Spaces of Orderings, named Geometric, which…

alg-geom · Mathematics 2008-02-03 F. Acquistapace , C. Andradas , F. Broglia

Multiobjective discrete programming is a well-known family of optimization problems with a large spectrum of applications. The linear case has been tackled by many authors during the last years. However, the polynomial case has not been…

Optimization and Control · Mathematics 2011-01-24 Víctor Blanco , Justo Puerto

In this paper, we propose a decomposition approach for eigenvalue problems with spatial symmetries, including the formulation, discretization as well as implementation. This approach can handle eigenvalue problems with either Abelian or…

Numerical Analysis · Mathematics 2012-11-16 Jun Fang , Xingyu Gao , Aihui Zhou

Sampling-based algorithms are classical approaches to perform Bayesian inference in inverse problems. They provide estimators with the associated credibility intervals to quantify the uncertainty on the estimators. Although these methods…

Methodology · Statistics 2023-11-28 Pierre-Antoine Thouvenin , Audrey Repetti , Pierre Chainais

We algorithmically construct multi-output Gaussian process priors which satisfy linear differential equations. Our approach attempts to parametrize all solutions of the equations using Gr\"obner bases. If successful, a push forward Gaussian…

Machine Learning · Statistics 2019-01-07 Markus Lange-Hegermann

The Cylindrical Algebraic Decomposition (CAD) algorithm is a comprehensive tool to perform quantifier elimination over real closed fields. CAD has doubly exponential running time, making it infeasible for practical purposes. We propose to…

Discrete Mathematics · Computer Science 2013-01-22 Hari Krishna Malladi , Ambedkar Dukkipati

We provide simple criteria and algorithms for expressing homogeneous polynomials as sums of powers of independent linear forms, or equivalently, for decomposing symmetric tensors into sums of rank-1 symmetric tensors of linearly independent…

Rings and Algebras · Mathematics 2021-10-08 Hua-Lin Huang , Huajun Lu , Yu Ye , Chi Zhang

Cylindrical Algebraic Decomposition (CAD) has long been one of the most important algorithms within Symbolic Computation, as a tool to perform quantifier elimination in first order logic over the reals. More recently it is finding…

Symbolic Computation · Computer Science 2020-03-23 Matthew England , Russell Bradford , James H. Davenport

Given a finite set of closed rational points of affine space over a field, we give a Gr\"obner basis for the lexicographic ordering of the ideal of polynomials which vanish at all given points. Our method is an alternative to the…

Commutative Algebra · Mathematics 2007-05-23 Mathias Lederer

We present an algorithm to compute a primary decomposition of an ideal in a polynomial ring over the integers. For this purpose we use algorithms for primary decomposition in polynomial rings over the rationals resp. over finite fields, and…

Commutative Algebra · Mathematics 2011-08-10 Gerhard Pfister , Afshan Sadiq , Stefan Steidel

The work reported in this article presents a high-order, stable, and efficient Gegenbauer pseudospectral method to solve numerically a wide variety of mathematical models. The proposed numerical scheme exploits the stability and the…

Numerical Analysis · Mathematics 2023-03-06 Kareem T. Elgindy