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We study random eigenvalue problems in the context of spectral stochastic finite elements. In particular, given a parameter-dependent, symmetric positive-definite matrix operator, we explore the performance of algorithms for computing its…

Numerical Analysis · Mathematics 2016-03-09 Bedřich Sousedík , Howard C. Elman

The Laplace-Beltrami operator on (the surface of) a triaxial ellipsoid admits a sequence of real eigenvalues diverging to plus infinity. By introducing ellipsoidal coordinates, this eigenvalue problem for a partial differential operator is…

Classical Analysis and ODEs · Mathematics 2024-07-29 Hans Volkmer

We present numerical upscaling techniques for a class of linear second-order self-adjoint elliptic partial differential operators (or their high-resolution finite element discretization). As prototypes for the application of our theory we…

Numerical Analysis · Mathematics 2014-09-11 Axel Malqvist , Daniel Peterseim

The classical Hermitian eigenvalue problem addresses the following question: What are the possible eigenvalues of the sum A+B of two Hermitian matrices A and B, provided we fix the eigenvalues of A and B. A systematic study of this problem…

Algebraic Geometry · Mathematics 2013-05-22 Shrawan Kumar

We present an efficient and scalable algorithm for performing matrix-vector multiplications ("matvecs") for block Toeplitz matrices. Such matrices, which are shift-invariant with respect to their blocks, arise in the context of solving…

Numerical Analysis · Mathematics 2025-07-25 Sreeram Venkat , Milinda Fernando , Stefan Henneking , Omar Ghattas

The solution of (generalized) eigenvalue problems for symmetric or Hermitian matrices is a common subtask of many numerical calculations in electronic structure theory or materials science. Solving the eigenvalue problem can easily amount…

Mathematical Software · Computer Science 2020-01-08 P. Kus , A. Marek , S. S. Koecher , H. -H. Kowalski , C. Carbogno , Ch. Scheurer , K. Reuter , M. Scheffler , H. Lederer

Eigenvectors and eigenvalues of discrete graph Laplacians are often used for manifold learning and nonlinear dimensionality reduction. It was previously proved by Belkin and Niyogi that the eigenvectors and eigenvalues of the graph…

Information Theory · Computer Science 2015-07-02 Zuoqiang Shi

We consider a metric graph consisting of two edges, one of which has length $\varepsilon$ which we send to zero. On this graph we study the resolvent and spectrum of the Laplacian subject to a general vertex condition at the connecting…

Spectral Theory · Mathematics 2023-11-14 Gregory Berkolaiko , Denis I. Borisov , Marshall King

We present an efficient procedure for computing resonances and resonant modes of Helmholtz problems posed in exterior domains. The problem is formulated as a nonlinear eigenvalue problem (NEP), where the nonlinearity arises from the use of…

Numerical Analysis · Mathematics 2016-07-01 Juan Carlos Araujo-Cabarcas , Christian Engstrom , Elias Jarlebring

A local and parallel algorithm based on the multilevel discretization is proposed in this paper to solve the eigenvalue problem by the finite element method. With this new scheme, solving the eigenvalue problem in the finest grid is…

Numerical Analysis · Mathematics 2014-01-21 Yu Li , Xiaole Han , Hehu Xie , Chunguang You

In this paper, we discuss numerical approximation of the eigenvalues of the one-dimensional radial Schr\"{o}dinger equation posed on a semi-infinite interval. The original problem is first transformed to one defined on a finite domain by…

Numerical Analysis · Mathematics 2024-03-19 Lidia Aceto , Cecilia Magherini , Ewa B. Weinmüller

We present the Matlab toolbox MacaulayLab, which implements numerical linear algebra algorithms for solving multivariate polynomial systems and rectangular multiparameter eigenvalue problems. Its structure and functionality are the result…

Mathematical Software · Computer Science 2026-05-21 Christof Vermeersch , Bart De Moor

We propose a new type of multilevel method for solving eigenvalue problems based on Newton iteration. With the proposed iteration method, solving eigenvalue problem on the finest finite element space is replaced by solving a small scale…

Numerical Analysis · Mathematics 2015-11-13 Yunhui He , Yu Li , Hehu Xie

In this paper, we are concerned with the following eigenvalue problem with an advection term: \begin{equation}\label{0.1} \left\{ \begin{split} -\epsilon\Delta \phi-2\alpha\nabla m(x)\cdot\nabla \phi+V(x)\phi&=\lambda \phi\ \ \text{in}\ \…

Analysis of PDEs · Mathematics 2025-12-30 Yujin Guo , Yuan Lou , Hongfei Zhang

For the eigenvalue problem of the Steklov differential operator, by following Liu's approach, an algorithm utilizing the conforming finite element method (FEM) is proposed to provide guaranteed lower bounds for the eigenvalues. The proposed…

Numerical Analysis · Mathematics 2023-02-07 Taiga Nakano , Qin Li , Meiling Yue , Xuefeng Liu

For a finite dimensional unital complex simple Jordan superalgebra $J$, the Tits-Kantor-Koecher construction yields a 3-graded Lie superalgebra $\mathfrak g_\flat\cong \mathfrak g_\flat(-1)\oplus\mathfrak g_\flat(0)\oplus\mathfrak…

Representation Theory · Mathematics 2019-04-12 Siddhartha Sahi , Hadi Salmasian , Vera Serganova

Let $\om $ be a bounded domain in an $n$-dimensional Euclidean space $\Bbb R^n$. We study eigenvalues of an eigenvalue problem of a system of elliptic equations: $$ \{\aligned &\Delta {\mathbf u}+ \alpha{\rm grad}(\text{div}{\mathbf…

Differential Geometry · Mathematics 2010-09-09 Daguang Chen , Qing-Ming Cheng , Qiaoling Wang , Changyu Xia

This work is devoted to the study of the boundary value problem \begin{eqnarray}\nonumber (-1)^\alpha \Delta^\alpha u = (-1)^k S_k[u] + \lambda f, \qquad x &\in& \Omega \subset \mathbb{R}^N, \\ \nonumber u = \partial_n u = \partial_n^2 u =…

Analysis of PDEs · Mathematics 2015-07-21 Carlos Escudero

The max-plus algebra $\mathbb{R}\cup \{-\infty \}$ is a semiring with the two operations: addition $a \oplus b := \max(a,b)$ and multiplication $a \otimes b := a + b$. Roots of the characteristic polynomial of a max-plus matrix are called…

Combinatorics · Mathematics 2025-10-22 Yuki Nishida , Sennosuke Watanabe , Yoshihide Watanabe

A novel orthogonalization-free method together with two specific algorithms are proposed to solve extreme eigenvalue problems. On top of gradient-based algorithms, the proposed algorithms modify the multi-column gradient such that earlier…

Numerical Analysis · Mathematics 2021-10-15 Weiguo Gao , Yingzhou Li , Bichen Lu