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We consider a surface that admits a $\mathbb{Q}$-Gorenstein degeneration to a cyclic quotient singularity $\frac{1}{dn^2}(1,dna-1)$. Under several technical assumptions, we construct $d$ exceptional vector bundles of rank $n$ which are…

Algebraic Geometry · Mathematics 2020-05-21 Yonghwa Cho

We extend Jordan's notion of principal angles to work for two subspaces of quaternionic space, and so have a method to analyze two orthogonal projections in M_n(A) for A the real, complex or quaternionic field (or skew field). From this we…

Operator Algebras · Mathematics 2014-06-13 Terry A. Loring

Recent advances in convex optimization have led to new strides in the phase retrieval problem over finite-dimensional vector spaces. However, certain fundamental questions remain: What sorts of measurement vectors uniquely determine every…

Functional Analysis · Mathematics 2013-10-16 Afonso S. Bandeira , Jameson Cahill , Dustin G. Mixon , Aaron A. Nelson

In this note we study the connection between the existence of a projective reconstruction and the existence of a fundamental matrix satisfying the epipolar constraints.

Computer Vision and Pattern Recognition · Computer Science 2020-11-13 Hon-Leung Lee

Visibility graph reconstruction, which asks us to construct a polygon that has a given visibility graph, is a fundamental problem with unknown complexity (although visibility graph recognition is known to be in PSPACE). We show that two…

Data Structures and Algorithms · Computer Science 2017-09-04 Nodari Sitchinava , Darren Strash

The goal of this paper is to present a general and novel approach for the reconstruction of any convex d-dimensional polytope P, from knowledge of its moments. In particular, we show that the vertices of an N-vertex polytope in R^d can be…

Numerical Analysis · Mathematics 2012-09-13 Nick Gravin , Jean Lasserre , Dmitrii Pasechnik , Sinai Robins

The paper established sufficient conditions of predictability with degeneracy for the spectrum at $M$-periodically located isolated points on the unit circle. It is also shown that $m$-periodic subsequences of these sequences are also…

Information Theory · Computer Science 2024-05-31 Nikolai Dokuchaev

We introduce a novel class of projectors for 3D cone beam tomographic reconstruction. Analytical formulas are derived to compute the relationship between the volume of a voxel projected onto a detector pixel and its contribution to the line…

Image and Video Processing · Electrical Eng. & Systems 2025-03-27 Vojtěch Kulvait , Julian Moosmann , Georg Rose

Variable order structures model situations in which the comparison between two points depends on a point-to-cone map. In this paper, an inexact projected gradient method for solving smooth constrained vector optimization problems on…

Optimization and Control · Mathematics 2019-08-09 Jose Yunier Bello Cruz , Gemayqzel Bouza Allende

To represent real $m$-dimensional vectors, a positional vector system given by a non-singular matrix $M \in \mathbb{Z}^{m \times m}$ and a digit set $\mathcal{D} \subset \mathbb{Z}^m$ is used. If $m = 1$, the system coincides with the well…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-03-20 Izabella Ingrid Farkas , Edita Pelantová , Milena Svobodová

We consider the problem of reconstruction of planar domains from their moments. Specifically, we consider domains with boundary which can be represented by a union of a finite number of pieces whose graphs are solutions of a linear…

Classical Analysis and ODEs · Mathematics 2013-06-06 Dmitry Batenkov , Vladimir Golubyatnikov , Yosef Yomdin

We derive upper bounds on the difference between the orthogonal projections of a smooth function $u$ onto two finite element spaces that are nearby, in the sense that the support of every shape function belonging to one but not both of the…

Numerical Analysis · Mathematics 2014-08-19 Evan S. Gawlik , Adrian J. Lew

Suppose we are given a vector $f$ in $\R^N$. How many linear measurements do we need to make about $f$ to be able to recover $f$ to within precision $\epsilon$ in the Euclidean ($\ell_2$) metric? Or more exactly, suppose we are interested…

Classical Analysis and ODEs · Mathematics 2007-05-23 Emmanuel Candes , Terence Tao

In many linear inverse problems, we want to estimate an unknown vector belonging to a high-dimensional (or infinite-dimensional) space from few linear measurements. To overcome the ill-posed nature of such problems, we use a low-dimension…

Information Theory · Computer Science 2017-07-18 Yann Traonmilin , Gilles Puy , Rémi Gribonval , Mike Davies

A new algorithm for reconstructing a two dimensional object from a set of one dimensional projected views is presented that is both computationally exact and experimentally practical. The algorithm has a computational complexity of O(n log2…

We prove identities generating higher dimensional vector partitions. We derive theorems for integer lattice points in the 2D first quadrant, then generalize the approach to find 3D and $n$-space lattice point vector region extensions. We…

Combinatorics · Mathematics 2023-02-03 Geoffrey B. Campbell

The robust Chinese remainder theorem (CRT) has been recently proposed for robustly reconstructing a large nonnegative integer from erroneous remainders. It has found many applications in signal processing, including phase unwrapping and…

Information Theory · Computer Science 2020-10-28 Li Xiao , Xiang-Gen Xia , Yu-Ping Wang

We formulate and analyze a heterogeneous random hypergraph model, and we provide an achieveability result for recovery of hyperedges from the observed projected graph. We observe a projected graph which combines random hyperedges across all…

Data Structures and Algorithms · Computer Science 2026-03-03 Alexander Morgan , Chenghao Guo

We study the complexity of computing the projection of an arbitrary $d$-polytope along $k$ orthogonal vectors for various input and output forms. We show that if $d$ and $k$ are part of the input (i.e. not a constant) and we are interested…

Computational Complexity · Computer Science 2012-11-26 Hans Raj Tiwary

We consider the demixing problem of two (or more) high-dimensional vectors from nonlinear observations when the number of such observations is far less than the ambient dimension of the underlying vectors. Specifically, we demonstrate an…

Machine Learning · Statistics 2017-01-25 Mohammadreza Soltani , Chinmay Hegde