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Related papers: Rang maximal pour $T_P^n$

200 papers

Robust low-rank matrix completion (RMC), or robust principal component analysis with partially observed data, has been studied extensively for computer vision, signal processing and machine learning applications. This problem aims to…

Machine Learning · Computer Science 2021-06-09 Minhui Huang , Shiqian Ma , Lifeng Lai

The problem of computing a representation for a real polynomial as a sum of minimum number of squares of polynomials can be casted as finding a symmetric positive semidefinite real matrix (Gram matrix) of minimum rank subject to linear…

Optimization and Control · Mathematics 2011-01-28 Yue Ma , Lihong Zhi

A relaxation method based on border basis reduction which improves the efficiency of Lasserre's approach is proposed to compute the optimum of a polynomial function on a basic closed semi algebraic set. A new stopping criterion is given to…

Algebraic Geometry · Mathematics 2015-08-25 Marta Abril Bucero , Bernard Mourrain

We identify a new sufficient condition for the finite convergence of moment relaxations of polynomial optimization problems with correlative sparsity. This condition, which follows from a solution to a correlatively sparse version of the…

Optimization and Control · Mathematics 2025-11-21 Giovanni Fantuzzi , Federico Fuentes

This paper considers sparse spiked covariance matrix models in the high-dimensional setting and studies the minimax estimation of the covariance matrix and the principal subspace as well as the minimax rank detection. The optimal rate of…

Statistics Theory · Mathematics 2016-03-29 Tony Cai , Zongming Ma , Yihong Wu

We consider an homogeneous ideal $I$ in the polynomial ring $S=K[x_1,\dots,$ $x_m]$ over a finite field $K=\mathbb{F}_q$ and the finite set of projective rational points $\mathbb{X}$ that it defines in the projective space…

Commutative Algebra · Mathematics 2023-10-24 Philippe Gimenez , Diego Ruano , Rodrigo San-José

In many contexts one encounters Hermitian operators $M$ on a Hilbert space whose dimension is so large that it is impossible to write down all matrix entries in an orthonormal basis. How does one determine whether such $M$ is positive…

Algebraic Geometry · Mathematics 2020-04-17 Gemma de las Cuevas , Tobias Fritz , Tim Netzer

Forman's Discrete Morse theory is studied from an algebraic viewpoint. Analogous to independent work of Emil Skoeldberg we show that this theory can be extended to chain complexes of free modules over a ring. We provide three applications…

Commutative Algebra · Mathematics 2016-09-07 Michael Joellenbeck , Volkmar Welker

Maximal regularity is a fundamental concept in the theory of partial differential equations. In this paper, we establish a fully discrete version of maximal regularity for a parabolic equation. We derive various stability results in…

Numerical Analysis · Mathematics 2016-02-23 Tomoya Kemmochi , Norikazu Saito

A canonical minimal free resolution of an arbitrary co-artinian lattice ideal over the polynomial ring is constructed over any field whose characteristic is 0 or any but finitely many positive primes. The differential has a closed-form…

Commutative Algebra · Mathematics 2024-10-10 Yupeng Li , Ezra Miller , Erika Ordog

For unconstrained control problems, a local convergence rate is established for an $hp$-method based on collocation at the Radau quadrature points in each mesh interval of the discretization. If the continuous problem has a sufficiently…

Numerical Analysis · Mathematics 2021-07-20 William W. Hager , Hongyan Hou , Subhashree Mohapatra , Anil V. Rao

We analyze an exchange algorithm for the numerical solution total-variation regularized inverse problems over the space M($\Omega$) of Radon measures on a subset $\Omega$ of R d. Our main result states that under some regularity conditions,…

Optimization and Control · Mathematics 2019-06-25 Axel Flinth , Frédéric de Gournay , Pierre Weiss

This paper studies the hierarchy of local minimums of a polynomial in the space. For this purpose, we first compute H-minimums, for which the first and second order optimality conditions are satisfied. To compute each H-minimum, we…

Optimization and Control · Mathematics 2014-11-26 Jiawang Nie

The aim of this paper is to present some properties of Choquet maximal Radon probability measures on compact, convex subsets of Hausdorff, locally convex, topological real vector spaces. Theorem 3.12 is the main result of the paper. While…

Functional Analysis · Mathematics 2013-03-25 Silviu Teleman

We show how the minimal free resolution of a set of $n$ points in general position in projective space of dimension $n-2$ explicitly determines structure constants for a ring of rank $n$. This generalises previously known constructions of…

Number Theory · Mathematics 2021-09-17 Tom Fisher , Lazar Radičević

In this research paper, the problem of optimization of a quadratic form over the convex hull generated by the corners of hypercube is attempted and solved. It is reasoned that under some conditions, the optimum occurs at the corners of…

Numerical Analysis · Computer Science 2014-01-29 Garimella Rama Murthy

Topology optimization of frame structures under free-vibration eigenvalue constraints constitutes a challenging nonconvex polynomial optimization problem with disconnected feasible sets. In this article, we first formulate it as a…

Optimization and Control · Mathematics 2025-09-08 Marek Tyburec , Michal Kočvara , Marouan Handa , Jan Zeman

This paper studies the matrix Moment-SOS hierarchy for solving polynomial matrix optimization. Our first result is to show the finite convergence of this hierarchy, if the nondegeneracy condition, strict complementarity condition and second…

Optimization and Control · Mathematics 2026-05-05 Lei Huang , Jiawang Nie

Let C be an irreducible projective curve of degree d in Pn(K), where K is an algebraically closed field, and let I be the associated homogeneous prime ideal. We wish to compute generators for I, assuming we are given sufficiently many…

Algebraic Geometry · Mathematics 2012-03-01 E. Fortuna , P. Gianni , B. Trager

We perform a finite sample analysis of the detection levels for sparse principal components of a high-dimensional covariance matrix. Our minimax optimal test is based on a sparse eigenvalue statistic. Alas, computing this test is known to…

Statistics Theory · Mathematics 2014-01-30 Quentin Berthet , Philippe Rigollet