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Partial trace is a very important mathematical operation in quantum mechanics. It is not only helpful in studying the subsystems of a composite quantum system but also used in computing a vast majority of quantum entanglement measures.…

Quantum Physics · Physics 2019-06-28 Pranay Barkataki , M. S. Ramkarthik

In this paper we consider the Brownian motion with jump boundary and present a new proof of a recent result of Li, Leung and Rakesh concerning the exact convergence rate in the one-dimensional case. Our methods are different and mainly…

Probability · Mathematics 2011-01-20 Martin Kolb , Achim Wübker

This study introduces a novel unsupervised medical image feature extraction method that employs spatial stratification techniques. An objective function based on weight is proposed to achieve the purpose of fast image recognition. The…

Image and Video Processing · Electrical Eng. & Systems 2024-06-28 Qishi Zhan , Dan Sun , Erdi Gao , Yuhan Ma , Yaxin Liang , Haowei Yang

This paper introduces a novel approach to statistics and data analysis, departing from the conventional assumption of data residing in Euclidean space to consider a Riemannian Manifold. The challenge lies in the absence of vector space…

Methodology · Statistics 2024-05-14 Oldemar Rodriguez Rojas

Several years ago the authors started looking at some problems of convex geometry from a more general point of view, replacing volume by an arbitrary measure. This approach led to new general properties of the Radon transform on convex…

Metric Geometry · Mathematics 2021-01-05 Apostolos Giannopoulos , Alexander Koldobsky , Artem Zvavitch

By introducing a parameter, we give a unified generalization of some quadrature rules, which not only unify the recent results about error bounds for generalized mid-point, trapezoid and Simpson's rules, but also give some new error bounds…

Numerical Analysis · Mathematics 2011-09-30 Wenjun Liu , Yong Jiang , Adnan Tuna

Most state-of-the-art motion segmentation algorithms draw their potential from modeling motion differences of local entities such as point trajectories in terms of pairwise potentials in graphical models. Inference in instances of minimum…

Computer Vision and Pattern Recognition · Computer Science 2017-07-28 Margret Keuper

Breaking symmetries is a popular way of speeding up the branch-and-bound method for symmetric integer programs. We study fundamental domains, which are minimal and closed symmetry breaking polyhedra. Our long-term goal is to understand the…

Discrete Mathematics · Computer Science 2021-06-04 José Verschae , Matías Villagra , Léonard von Niederhäusern

Recent studies show that the two-dimensional quadratic termination property has great potential in improving performance of the gradient method. However, it is not clear whether higher-dimensional quadratic termination leads further…

Optimization and Control · Mathematics 2024-06-21 Yakui Huang , Yu-Hong Dai , Xin-Wei Liu

We study the problem of finding the global Riemannian center of mass of a set of data points on a Riemannian manifold. Specifically, we investigate the convergence of constant step-size gradient descent algorithms for solving this problem.…

Differential Geometry · Mathematics 2012-01-05 Bijan Afsari , Roberto Tron , René Vidal

The classical isoperimetric inequality can be extended to a general normed plane. In the Euclidean plane, the defect in the isoperimetric inequality can be calculated in terms of the signed areas of some singular sets. In this paper we…

Metric Geometry · Mathematics 2020-10-23 Rafael Segadas dos Santos , Marcos Craizer

The goal of this paper is to introduce and study some geometric properties of slice regular functions of quaternion variable like univalence, subordination, starlikeness, convexity and spirallikeness in the unit ball. We prove a number of…

Complex Variables · Mathematics 2014-10-13 Sorin G. Gal , J. Oscar González-Cervantes , Irene Sabadini

We describe a recursive algorithm that decomposes an algebraic set into locally closed equidimensional sets, i.e. sets which each have irreducible components of the same dimension. At the core of this algorithm, we combine ideas from the…

Symbolic Computation · Computer Science 2023-06-12 Christian Eder , Pierre Lairez , Rafael Mohr , Mohab Safey El Din

We present an algorithm to solve BSDEs with jumps based on Wiener Chaos Expansion and Picard's iterations. This paper extends the results given in Briand-Labart (2014) to the case of BSDEs with jumps. We get a forward scheme where the…

Probability · Mathematics 2017-04-06 Christel Geiss , Céline Labart

We introduce a new criterion which tests if a given decomposition of a given ternary form $T$ of even degree is unique. The criterion is based on the analysis of the Hilbert function of the projective set of points $Z$ associated to the…

Algebraic Geometry · Mathematics 2020-07-21 Andrea Mazzon

Correlation matrices are fundamental summaries of functional brain networks, yet standard analyses often treat entries independently, ignoring the curved geometry of correlation space. Existing geometric methods frequently lack closed-form…

Machine Learning · Computer Science 2026-05-22 Mario Severino , Manuela Moretto , Robert A. McCutcheon , Mattia Veronese

We study a cut-off function lemma in projective spaces. We believe that this is well-known. We provide the details of the computation for later uses.

Complex Variables · Mathematics 2012-05-24 Taeyong Ahn

In this paper, we introduce an extension of smoothing on Reeb graphs, which we call truncated smoothing; this in turn allows us to define a new family of metrics which generalize the interleaving distance for Reeb graphs. Intuitively, we…

Computational Geometry · Computer Science 2021-05-14 Erin Wolf Chambers , Elizabeth Munch , Tim Ophelders

A new intrinsic volume metric is introduced for the class of convex bodies in $\mathbb{R}^n$. As an application, an inequality is proved for the asymptotic best approximation of the Euclidean unit ball by arbitrarily positioned polytopes…

Metric Geometry · Mathematics 2023-03-15 Florian Besau , Steven Hoehner

We present an extension of the cut-pursuit algorithm, introduced by Landrieu and Obozinski (2017), to the graph total-variation regularization of functions with a separable nondifferentiable part. We propose a modified algorithmic scheme as…

Optimization and Control · Mathematics 2018-05-22 Hugo Raguet , Loïc Landrieu
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