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Related papers: Hermite-Laguerre-Gaussian Vector Modes

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The analysis of vector fields is crucial for the understanding of several physical phenomena, such as natural events (e.g., analysis of waves), diffusive processes, electric and electromagnetic fields. While previous work has been focused…

Graphics · Computer Science 2020-08-12 Giuseppe Patanè

Gradient vector fields are fundamental objects from both theoretical and practical perspectives, since various phenomena can be modeled within this framework. The ``moduli space'' of such vector fields provides the foundation for describing…

Dynamical Systems · Mathematics 2025-10-02 Tomoo Yokoyama

The purpose of this work is to geometrize the notion of mixed Hodge structure. Therefore, we associate equivariant vector bundles on the projective plane to trifiltered vector spaces. Making this Rees construction with filtrations arising…

Algebraic Geometry · Mathematics 2007-05-23 Olivier Penacchio

In order to make graphical Gaussian models a viable modelling tool when the number of variables outgrows the number of observations, model classes which place equality restrictions on concentrations or partial correlations have previously…

Statistics Theory · Mathematics 2011-09-20 Helene Gehrmann

A matrix method is formulated in a Lagrangian representation for the solution of the characteristic value problem governing modes of oscillation and instability in a collisionless stellar system. The underlying perturbation equations govern…

Astrophysics · Physics 2009-11-07 Peter O. Vandervoort

Data heterogeneity in federated learning, characterized by a significant misalignment between local and global distributions, leads to divergent local optimization directions and hinders global model training. Existing studies mainly focus…

Computer Vision and Pattern Recognition · Computer Science 2025-05-06 Yanbiao Ma , Wei Dai , Wenke Huang , Jiayi Chen

We propose an effective framework for multi-phase image segmentation and semi-supervised data clustering by introducing a novel region force term into the Potts model. Assume the probability that a pixel or a data point belongs to each…

Computer Vision and Pattern Recognition · Computer Science 2017-04-27 Ke Wei , Ke Yin , Xue-Cheng Tai , Tony F. Chan

Spatial mode sorting has come to prominence as an optical processing modality capable of saturating fundamental limits to numerous sensing tasks including wavefront sensing, coronagraphy, and superresolution imaging. But despite their…

Optics · Physics 2025-10-28 Jacob Trzaska , Amit Ashok

Based on the operator formalism that arises from the underlying SU(2) group structure, a formula is derived that provides a description of the generalized Hermite-Laguerre Gauss modes in terms of a Jones vector, traditionally used to…

Optics · Physics 2019-08-06 R. Gutiérrez-Cuevas , M. R. Dennis , M. A. Alonso

Subdivision schemes are closely related to splines and wavelets and have numerous applications in CAGD and numerical differential equations. Subdivision schemes employ a scalar filter; that is, scalar subdivision schemes, have been…

Numerical Analysis · Mathematics 2025-01-16 Ran Lu

Gaussian processes (GPs) are popular nonparametric statistical models for learning unknown functions and quantifying the spatiotemporal uncertainty in data. Recent works have extended GPs to model scalar and vector quantities distributed…

Recently, a geometrical characterization of vector spaces served to generalize them into a new class of algebras. Instead of the algebraic properties of the underlying fields, we generalized the recently discovered property of such spaces…

Algebraic Geometry · Mathematics 2019-01-23 Gabriele Ricci

Generating high-quality Scalable Vector Graphics (SVGs) from text remains a significant challenge. Existing LLM-based models that generate SVG code as a flat token sequence struggle with poor structural understanding and error accumulation,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-10 Ximing Xing , Juncheng Hu , Ziteng Xue , Jing Zhang , Buyu Li , Sheng Wang , Dong Xu , Qian Yu

Improving three-dimensional (3D) localization precision is of paramount importance for super-resolution imaging. By properly engineering the point spread function (PSF), such as utilizing Laguerre-Gaussian (LG) modes and their…

Quantum Physics · Physics 2023-12-25 Chenyu Hu , Liang Xu , Ben Wang , Zhiwen Li , Yipeng Zhang , Yong Zhang , Lijian Zhang

We propose and analyze a new hybridizable discontinuous Galerkin (HDG) method for second-order elliptic problems. Our method is obtained by inserting the $L^2$-orthogonal projection onto the approximate space for a numerical trace into all…

Numerical Analysis · Mathematics 2017-11-16 Issei Oikawa

Extraordinary dispersion features of a circular waveguide filled by a longitudinally magnetized composite gyroelectromagnetic medium are studied. The composite medium is considered to be constructed by juxtaposition together of magnetic and…

Guiding Vector Fields (GVFs) are a powerful tool for robotic path following. However, classical methods assume smooth, ordered curves and fail when paths are unordered, multi-branch, or generated by probabilistic models. We propose a…

Robotics · Computer Science 2026-04-28 Zirui Chen , Shiliang Guo , Shiyu Zhao

This study first provides a brief overview of the structure of typical Grassmann manifolds. Then a new type of supergrassmannians is construced using an odd involution in a super ringed space and by gluing superdomains together. Next,…

Differential Geometry · Mathematics 2023-04-26 Mohammad Javad Afshari , Saad Varsaie

The Higher-Order Poincar\'e Sphere (HOPS) provides a powerful geometrical tool for representing vector beams as points on the surface of a unitary sphere. Since a particular position on the surface represents any spatial mode regardless of…

In order to develop a model that can describe both a single baryon and multi-baryon systems on the same footing, we re-investigate the Skyrme model in a chiral Lagrangian derived from the hidden local symmetry (HLS) up to $O(p^4)$ including…

High Energy Physics - Phenomenology · Physics 2014-02-13 Yongseok Oh