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The partial Schur factorization can be used to represent several eigenpairs of a matrix in a numerically robust way. Different adaptions of the Arnoldi method are often used to compute partial Schur factorizations. We propose here a…

Numerical Analysis · Mathematics 2012-02-16 Elias Jarlebring , Karl Meerbergen , Wim Michiels

We study the joint spectral properties of photon pairs generated by spontaneous parametric down-conversion in a one-dimensional nonlinear photonic crystal in a collinear, degenerate, type-II geometry. We show that the photonic crystal…

Quantum Physics · Physics 2009-11-13 María Corona , Alfred B. U'Ren

In this work we investigate the computation of dispersion relation (i.e., band functions) for three-dimensional photonic crystals, formulated as a parameterized Maxwell eigenvalue problem, using a novel hp-adaptive sampling algorithm. We…

Numerical Analysis · Mathematics 2024-06-18 Yueqi Wang , Richard Craster , Guanglian Li

A popular method for solving large sparse regular eigenvalue problem is the shift-and-invert Arnoldi method. This paper aims to use the method for large sparse singular pencils. In three recent papers, {\em Hochstenbach, Mehl, and…

Numerical Analysis · Mathematics 2026-05-20 Karl Meerbergen , Zhijun Wang

Interior eigenvalue problems for large-scale sparse Hermitian matrices are fundamental in computational science. We propose an adaptive polynomial filtering strategy based on Chebyshev expansion of a step function, integrated into a…

Numerical Analysis · Mathematics 2026-04-02 Xiaofei Xu , Yuhui Ni , Shengguo Li , Juan Zhang

A multigrid method is proposed in this paper to solve eigenvalue problems by the finite element method based on the shifted-inverse power iteration technique. With this scheme, solving eigenvalue problem is transformed to a series of…

Numerical Analysis · Mathematics 2014-10-28 Hongtao Chen , Yunhui He , Yu Li , Hehu Xie

We consider a pencil of matrix Sturm-Liouville operators on a finite interval. We study properties of its spectral characteristics and inverse problems that consist in recovering of the pencil by the spectral data: eigenvalues and…

Spectral Theory · Mathematics 2015-09-22 Natalia Bondarenko

We present a novel approach for the inverse problem in electrical impedance tomography based on regularized quadratic regression. Our contribution introduces a new formulation for the forward model in the form of a nonlinear integral…

Geophysics · Physics 2012-05-29 Nick Polydorides , Alireza Aghasi , Eric L. Miller

We present a method to linearize, without approximation, a specific class of eigenvalue problems with eigenvector nonlinearities (NEPv), where the nonlinearities are expressed by scalar functions that are defined by a quotient of linear…

Numerical Analysis · Mathematics 2021-05-24 Rob Claes , Elias Jarlebring , Karl Meerbergen , Parikshit Upadhyaya

We examine a method for solving an infinite-dimensional tensor eigenvalue problem $H x = \lambda x$, where the infinite-dimensional symmetric matrix $H$ exhibits a translational invariant structure. We provide a formulation of this type of…

Numerical Analysis · Mathematics 2023-10-04 Roel Van Beeumen , Lana Periša , Daniel Kressner , Chao Yang

This paper is concerned with the inverse scattering and the transmission eigenvalues for anisotropic periodic layers. For the inverse scattering problem, we study the Factorization method for shape reconstruction of the periodic layers from…

Analysis of PDEs · Mathematics 2020-01-10 Isaac Harris , Dinh-Liem Nguyen , Jonathan Sands , Trung Truong

Many photonic devices, such as photonic crystal slabs, cross gratings, and periodic metasurfaces, are biperiodic structures with two independent periodic directions, and are sandwiched between two homogeneous media. Many applications of…

Computational Physics · Physics 2024-03-08 Nan Zhang , Ya Yan Lu

We present a new approach to solve the exponential retrieval problem. We derive a stable technique, based on the singular value decomposition (SVD) of lag-covariance and crosscovariance matrices consisting of covariance coefficients…

Signal Processing · Electrical Eng. & Systems 2020-08-11 D. J Nicolsky , G. S. Tipenko

In this paper, linearly structured partial polynomial inverse eigenvalue problem is considered for the $n\times n$ matrix polynomial of arbitrary degree $k$. Given a set of $m$ eigenpairs ($1 \leqslant m \leqslant kn$), this problem…

Numerical Analysis · Mathematics 2019-04-24 Suman Rakshit , S. R. Khare

A new iterative method for solving large scale symmetric nonlinear eigenvalue problems is presented. We firstly derive an infinite dimensional symmetric linearization of the nonlinear eigenvalue problem, then we apply the indefinite Lanczos…

Numerical Analysis · Mathematics 2019-10-11 Giampaolo Mele

A stabilized version of the fundamental solution method to catch ill-conditioning effects is investigated with focus on the computation of complex-valued elastic interior transmission eigenvalues in two dimensions for homogeneous and…

Numerical Analysis · Mathematics 2019-09-06 Andreas Kleefeld , Lukas Pieronek

Plasmonics has attracted much attention not only because it has useful properties such as strong field enhancement, but also because it reveals the quantum nature of matter. To handle quantum plasmonics effects, ab initio packages or…

Mesoscale and Nanoscale Physics · Physics 2018-02-08 Kun Ding , C. T. Chan

We present a framework to solve non-linear eigenvalue problems suitable for a Finite Element discretization. The implementation is based on the open-source finite element software GetDP and the open-source library SLEPc. As template…

Computational Physics · Physics 2020-12-24 Guillaume Demésy , André Nicolet , Boris Gralak , Christophe Geuzaine , Carmen Campos , Jose E. Roman

The inverse spectral problem for the second-order differential pencil with quadratic dependence on the spectral parameter is studied. We obtain sufficient conditions for the global solvability of the inverse problem, prove its local…

Spectral Theory · Mathematics 2021-03-18 Natalia P. Bondarenko , Andrey V. Gaidel

Eigenvalue transformations, which include solving time-dependent differential equations as a special case, have a wide range of applications in scientific and engineering computation. While quantum algorithms for singular value…

Quantum Physics · Physics 2024-11-07 Dong An , Andrew M. Childs , Lin Lin , Lexing Ying