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The Bethe-Salpeter eigenvalue problem is a structured eigenvalue problem arising in many-body physics. In practice, a few of the smallest positive eigenvalues and the corresponding eigenvectors need to be computed. In principle, the LOBPCG…

Numerical Analysis · Mathematics 2026-03-10 Xinyu Shan , Meiyue Shao

The discretized Bethe-Salpeter eigenvalue problem arises in the Green's function evaluation in many body physics and quantum chemistry. Discretization leads to a matrix eigenvalue problem for $H \in \mathbb{C}^{2n\times 2n}$ with a…

Numerical Analysis · Mathematics 2018-01-04 Zhen-Chen Guo , Eric King-Wah Chu , Wen-Wei Lin

To solve the Bethe-Salpeter eigenvalue problem with distinct sizes, two efficient methods, called {\Gamma}QR algorithm and {\Gamma}-Lanczos algorithm, are proposed in this paper. Both algorithms preserve the special structure of the initial…

Numerical Analysis · Mathematics 2018-01-04 Zhen-Chen Guo , Tiexiang Li , Ying-Ying Zhou

In (relativistic) electronic structure methods, the quaternion matrix eigenvalue problem and the linear response (Bethe-Salpeter) eigenvalue problem for excitation energies are two frequently encountered structured eigenvalue problems.…

Chemical Physics · Physics 2021-12-01 Zhendong Li

The non-Hermitian Bethe-Salpeter eigenvalue problem, in the definite case, is a structured eigenproblem, with real eigenvalues coming in pairs $\{\lambda,-\lambda\}$ where the corresponding pair of eigenvectors are closely related, and…

Numerical Analysis · Mathematics 2026-04-02 Fernando Alvarruiz , Blanca Mellado-Pinto , Jose E. Roman

We analyze the performance of two strategies in solving the structured eigenvalue problem deriving from the Bethe-Salpeter equation (BSE) in condensed matter physics. The BSE matrix is constructed with the Yambo code, and the two strategies…

The linear response eigenvalue problem, which arises from many scientific and engineering fields, is quite challenging numerically for large-scale sparse/dense system, especially when it has zero eigenvalues. Based on a direct sum…

Numerical Analysis · Mathematics 2025-06-11 Yu Li , Zijing Wang , Yong Zhang

Solving large-scale eigenvalue problems poses a significant challenge due to the computational complexity and limitations on the parallel scalability of the orthogonalization operation, when many eigenpairs are required. In this paper, we…

Numerical Analysis · Mathematics 2025-11-11 Tianyang Chu , Xiaoying Dai , Shengyue Wang , Aihui Zhou

Optical properties of materials related to light absorption and scattering are explained by the excitation of electrons. The Bethe-Salpeter equation is the state-of-the-art approach to describe these processes from first principles (ab…

Numerical Analysis · Mathematics 2020-08-21 Peter Benner , Carolin Penke

A hyperbolic system must have a set of linearly independent eigenvectors and corresponding real eigenvalues. In numerical simulations, however, the eigenvalues can be complex because truncation errors pollute a characteristic polynomial of…

Computational Physics · Physics 2019-06-19 Takashi Shiroto , Akinobu Matsuyama , Nobuyuki Aiba

We present a new structure preserving Lanczos algorithm for approximating the optical absorption spectrum in the context of solving full Bethe--Salpeter equation without Tamm--Dancoff approximation. The new algorithm is based on a structure…

Numerical Analysis · Mathematics 2018-06-07 Meiyue Shao , Felipe H. da Jornada , Lin Lin , Chao Yang , Jack Deslippe , Steven G. Louie

The history of research on eigenvalue problems is rich with many outstanding contributions. Nonetheless, the rapidly increasing size of data sets requires new algorithms for old problems in the context of extremely large matrix dimensions.…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-12-17 Hesam T. Dashti , Alireza F. Siahpirani , Liya Wang , Mary Kloc , Amir H. Assadi

Many large-scale scientific computations require eigenvalue solvers in a scaling regime where efficiency is limited by data movement. We introduce a parallel algorithm for computing the eigenvalues of a dense symmetric matrix, which…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-04-19 Edgar Solomonik , Grey Ballard , James Demmel , Torsten Hoefler

A new approach to solving eigenvalue optimization problems for large structured matrices is proposed and studied. The class of optimization problems considered is related to computing structured pseudospectra and their extremal points, and…

Numerical Analysis · Mathematics 2022-06-22 Nicola Guglielmi , Christian Lubich , Stefano Sicilia

We present a high-performance solver for dense skew-symmetric matrix eigenvalue problems. Our work is motivated by applications in computational quantum physics, where one solution approach to solve the so-called Bethe-Salpeter equation…

Numerical Analysis · Mathematics 2020-06-05 Carolin Penke , Andreas Marek , Christian Vorwerk , Claudia Draxl , Peter Benner

In Parts I and II of this series of papers, three new methods for the computation of eigenvalues of singular pencils were developed: rank-completing perturbations, rank-projections, and augmentation. It was observed that a straightforward…

Numerical Analysis · Mathematics 2024-06-12 Michiel E. Hochstenbach , Christian Mehl , Bor Plestenjak

In this paper, we study and implement the structural iterative eigensolvers for the large-scale eigenvalue problem in the Bethe-Salpeter equation (BSE) based on the reduced basis approach via low-rank factorizations in generating matrices,…

Numerical Analysis · Mathematics 2017-03-08 Peter Benner , Sergey Dolgov , Venera Khoromskaia , Boris N. Khoromskij

We discuss the effect of structure-preserving perturbations on complex or real Hamiltonian eigenproblems and characterize the structured worst-case effect perturbations. We derive significant expressions for both the structured condition…

Numerical Analysis · Mathematics 2022-12-22 Paolo Buttà , Silvia Noschese

In this paper, we study a class of set cover problems that satisfy a special property which we call the {\em small neighborhood cover} property. This class encompasses several well-studied problems including vertex cover, interval cover,…

Data Structures and Algorithms · Computer Science 2013-12-30 Archita Agarwal , Venkatesan T. Chakaravarthy , Anamitra R. Choudhury , Sambuddha Roy , Yogish Sabharwal

Energy methods for constructing time-stepping algorithms are of increased interest in application to nonlinear problems, since numerical stability can be inferred from the conservation of the system energy. Alternatively, symplectic…

Computational Physics · Physics 2020-08-24 Vasileios Chatziioannou
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