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Under appropriate technical assumptions, the simple-loop theory allows to deduce various types of asymptotic expansions for the eigenvalues of Toeplitz matrices generated by a function $f$. Independently and under the milder hypothesis that…

Numerical Analysis · Mathematics 2022-01-07 M. Bogoya , S. E. Ekström , S. Serra-Capizzano

The Vandermonde decomposition of Toeplitz matrices, discovered by Carath\'{e}odory and Fej\'{e}r in the 1910s and rediscovered by Pisarenko in the 1970s, forms the basis of modern subspace methods for 1D frequency estimation. Many related…

Information Theory · Computer Science 2016-03-24 Zai Yang , Lihua Xie , Petre Stoica

Complex valued systems with an indefinite matrix term arise in important applications such as for certain time-harmonic partial differential equations such as the Maxwell's equation and for the Helmholtz equation. Complex systems with…

Numerical Analysis · Mathematics 2021-10-04 Owe Axelsson , Maeddeh Pourbagher , Davod Khojasteh Salkuyeh

We investigate the joint convergence of independent random Toeplitz matrices with complex input entries that have a pair-correlation structure, along with deterministic Toeplitz matrices and the backward identity permutation matrix.…

Probability · Mathematics 2024-10-22 Kartick Adhikari , Arup Bose , Shambhu Nath Maurya

We show how to construct highly symmetric algorithms for matrix multiplication. In particular, we consider algorithms which decompose the matrix multiplication tensor into a sum of rank-1 tensors, where the decomposition itself consists of…

Computational Complexity · Computer Science 2016-12-13 Joshua A. Grochow , Cristopher Moore

Different types of convolution operations involving large Vandermonde matrices are considered. The convolutions parallel those of large Gaussian matrices and additive and multiplicative free convolution. First additive and multiplicative…

Information Theory · Computer Science 2016-11-15 Ø. Ryan , M. Debbah

Vandermonde matrices are well known. They have a number of interesting properties and play a role in (Lagrange) interpolation problems, partial fraction expansions, and finding solutions to linear ordinary differential equations, to mention…

Rings and Algebras · Mathematics 2014-07-03 Andre Klein , Peter Spreij

Matrix completion is about recovering a matrix from its partial revealed entries, and it can often be achieved by exploiting the inherent simplicity or low dimensional structure of the target matrix. For instance, a typical notion of matrix…

Information Theory · Computer Science 2019-10-08 Jinchi Chen , Weiguo Gao , Ke Wei

In this paper, a new method to compute a B\'ezier curve of degree n = 2m-1 is introduced, here formulated as a set of points whose coordinates are calculated from two Hankel forms in $\C^m$. From Vandermonde factorizations of the two…

Numerical Analysis · Mathematics 2010-11-11 Licio Hernanes Bezerra

This paper studies two structured approximation problems: (1) Recovering a corrupted low-rank Toeplitz matrix and (2) recovering the range of a Fourier matrix from a single observation. Both problems are computationally challenging because…

Information Theory · Computer Science 2025-11-24 Albert Fannjiang , Weilin Li

In the literature, there exist several studies on symbol-based multigrid methods for the solution of linear systems having structured coefficient matrices. In particular, the convergence analysis for such methods has been obtained in an…

Numerical Analysis · Mathematics 2021-11-15 Matthias Bolten , Marco Donatelli , Paola Ferrari , Isabella Furci

In order to precondition Toeplitz systems, we present a new class of simultaneously diagonalizable real matrices, the Gamma-matrices, which include both symmetric circulant matrices and a subclass of the set of all reverse circulant…

Numerical Analysis · Mathematics 2021-07-14 Antonio Boccuto , Ivan Gerace , Valentina Giorgetti , Federico Greco

Matrix multiplication (hereafter we use the acronym MM) is among the most fundamental operations of modern computations. The efficiency of its performance depends on various factors, in particular vectorization, data movement and arithmetic…

Data Structures and Algorithms · Computer Science 2015-02-09 Victor Y. Pan

Toeplitz and Hankel matrices have been a subject of intense interest in a wide range of science and engineering related applications. In this paper, we show that quantum circuits can efficiently implement sparse or Fourier-sparse Toeplitz…

Quantum Physics · Physics 2016-06-22 A. Mahasinghe , J. B. Wang

The circulant matrices and skew-circulant matrices are two special classes of Toeplitz matrices and play vital roles in the computation of Toeplitz matrices. In this paper, we focus on real circulant and skewcirculant matrices. We first…

Numerical Analysis · Mathematics 2018-06-15 Zhongyun Liu , Siheng Chen , Weijin Xu , Yulin Zhang

Solving the Toeplitz systems, which is to find the vector $x$ such that $T_nx = b$ given an $n\times n$ Toeplitz matrix $T_n$ and a vector $b$, has a variety of applications in mathematics and engineering. In this paper, we present a…

Quantum Physics · Physics 2018-06-20 Lin-Chun Wan , Chao-Hua Yu , Shi-Jie Pan , Fei Gao , Qiao-Yan Wen , Su-Juan Qin

The author was encouraged to write this review by numerous enquiries from researchers all over the world, who needed a ready-to-use algorithm for the inversion of confluent Vandermonde matrices which works in quadratic time for any values…

History and Overview · Mathematics 2026-04-10 Jerzy S Respondek

The stories told in this paper are dealing with the solution of finite, infinite, and biinfinite Toeplitz-type systems. A crucial role plays the off-diagonal decay behavior of Toeplitz matrices and their inverses. Classical results of…

Numerical Analysis · Mathematics 2025-10-20 Thomas Strohmer

Fast computation of three-dimensional gravity and magnetic forward models is considered. Measurement data is assumed to be obtained on a uniform grid which is staggered with respect to the discretization of the parameter volume. Then, the…

Numerical Analysis · Mathematics 2022-08-16 Jarom D Hogue , Rosemary A Renaut , Saeed Vatankhah

The main focus of this paper is the study of efficient multigrid methods for large linear systems with a particular saddle-point structure. Indeed, when the system matrix is symmetric, but indefinite, the variational convergence theory that…

Numerical Analysis · Mathematics 2023-08-30 Marco Donatelli , Matthias Bolten , Paola Ferrari , Isabella Furci