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We introduce a continuous domain framework for the recovery of a planar curve from a few samples. We model the curve as the zero level set of a trigonometric polynomial. We show that the exponential feature maps of the points on the curve…

Signal Processing · Electrical Eng. & Systems 2020-01-08 Qing Zou , Sunrita Poddar , Mathews Jacob

In this paper, a new type of multi-level correction scheme is proposed for solving eigenvalue problems by finite element method. With this new scheme, the accuracy of eigenpair approximations can be improved after each correction step which…

Numerical Analysis · Mathematics 2011-07-04 Qun Lin , Hehu Xie

The Differential Transfer Matrix Method is extended to the complex plane, which allows dealing with singularities at turning points. The result for real-valued systems are simplified and a pair of basis functions is found. These bases are a…

Quantum Physics · Physics 2016-12-28 Sina Khorasani

The authors study the method of scaling in the context of the study of automorphism groups of complex domains in multiple dimensions. Various types of scaling techniques are compared and contrasted. Applications are given in a number of…

Differential Geometry · Mathematics 2007-05-23 Kang-Tae Kim , Steven G. Krantz

A type of adaptive finite element method for the eigenvalue problems is proposed based on the multilevel correction scheme. In this method, adaptive finite element method to solve eigenvalue problems involves solving associated boundary…

Numerical Analysis · Mathematics 2012-01-12 Hehu Xie

Contour integral algorithms seek to compute a small number of eigenvalues located within a bounded region of the complex plane. These methods can be applied to both linear and nonlinear matrix eigenvalue problems. In the latter case, the…

Numerical Analysis · Mathematics 2026-01-06 Linus Balicki , Mark Embree , Serkan Gugercin

Deep subspace clustering based on auto-encoder has received wide attention. However, most subspace clustering based on auto-encoder does not utilize the structural information in the self-expressive coefficient matrix, which limits the…

Computer Vision and Pattern Recognition · Computer Science 2023-06-21 Ling Zhao , Yunpeng Ma , Shanxiong Chen , Jun Zhou

We study eigenvalue problems for the de Rham complex on varying three dimensional domains. Our analysis includes the Helmholtz equation as well as the Maxwell system with mixed boundary conditions and non-constant coefficients. We provide…

Analysis of PDEs · Mathematics 2025-02-18 Pier Domenico Lamberti , Dirk Pauly , Michele Zaccaron

There are many numerical methods for simulate three-dimensional photonic crystals, after comparison, we choose Yee's scheme to be our discrete method. So far, this method can only be applied to simple cubic lattice and face-centered cubic…

Numerical Analysis · Mathematics 2018-07-03 Huang Tsung-Ming , Li Tiexiang , Li Wei-De , Lin Jia-Wei , Lin Wen-Wei , Tian Heng

Properties of a parametric curve in R^3 are often determined by analysis of its piecewise linear (PL) approximation. For Bezier curves, there are standard algorithms, known as subdivision, that recursively create PL curves that converge to…

Geometric Topology · Mathematics 2012-10-10 J. Li , T. J. Peters , J. A. Roulier

The aim of this paper is to develop an algebraic multigrid method to solve eigenvalue problems based on the combination of the multilevel correction scheme and the algebraic multigrid method for linear equations. Our approach uses the…

Numerical Analysis · Mathematics 2020-03-02 Ning Zhang , Xiaole Han , Yunhui He , Hehu Xie , Chun'guang You

Solving polynomial eigenvalue problems with eigenvector nonlinearities (PEPv) is an interesting computational challenge, outside the reach of the well-developed methods for nonlinear eigenvalue problems. We present a natural generalization…

Numerical Analysis · Mathematics 2022-05-26 Rob Claes , Karl Meerbergen , Simon Telen

We study the relationship between singularities of finite-dimensional integrable systems and singularities of the corresponding spectral curves. For the large class of integrable systems on matrix polynomials, which is a general framework…

Exactly Solvable and Integrable Systems · Physics 2016-08-04 Anton Izosimov

It is critical to understand the properties of spatial correlation matrices in massive multiple-input multiple-output (MIMO) systems. We derive new bounds on the extreme eigenvalues of a spatial correlation matrix that is characterized by…

Information Theory · Computer Science 2014-06-23 Junil Choi , David J. Love

The analysis of diagonalizable matrices in terms of their so-called isospectral reduction represents a versatile approach to the underlying eigenvalue problem. Starting from a symmetry of the isospectral reduction, we show in the present…

General Mathematics · Mathematics 2021-05-27 Malte Röntgen , Maxim Pyzh , Christian V. Morfonios , Peter Schmelcher

This paper proposes hybrid high-order eigensolvers for the computation of guaranteed lower eigenvalue bounds. These bounds display higher order convergence rates and are accessible to adaptive mesh-refining algorithms. The involved…

Numerical Analysis · Mathematics 2026-04-23 Ngoc Tien Tran

We consider the eigenvalue problem for the case where the input matrix is symmetric and its entries perturb in some given intervals. We present a characterization of some of the exact boundary points, which allows us to introduce an inner…

Robotics · Computer Science 2011-02-22 Milan Hladik , David Daney , Elias Tsigaridas

In this paper, we study an adaptive finite element method for multiple eigenvalue problems of a class of second order elliptic equations. By using some eigenspace approximation technology and its crucial property which is also presented in…

Numerical Analysis · Mathematics 2013-09-18 Xiaoying Dai , Lianhua He , Aihui Zhou

We study the semicontinuity of automorphism groups for perturbations of domains in complex space or in complex manifolds. We provide a new approach to the study of such results for domains having minimal boundary smoothness. The emphasis in…

Complex Variables · Mathematics 2011-09-15 Robert E. Greene , Kang-Tae Kim , Steven G. Krantz , AeRyeong Seo

Optimization of convex functions subject to eigenvalue constraints is intriguing because of peculiar analytical properties of eigenvalues, and is of practical interest because of wide range of applications in fields such as structural…

Numerical Analysis · Mathematics 2013-10-08 Emre Mengi
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