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Structured Matrices in Numerical Linear Algebra

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Table of Contents

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    Book Overview
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    Chapter 1 Spectral Measures
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    Chapter 2 Block Locally Toeplitz Sequences: Construction and Properties
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    Chapter 3 Block Generalized Locally Toeplitz Sequences: Topological Construction, Spectral Distribution Results, and Star-Algebra Structure
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    Chapter 4 On Matrix Subspaces with Trivial Quadratic Kernels
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    Chapter 5 Error Analysis of TT-Format Tensor Algorithms
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    Chapter 6 The Derivative of the Matrix Geometric Mean with an Application to the Nonnegative Decomposition of Tensor Grids
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    Chapter 7 Factoring Block Fiedler Companion Matrices
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    Chapter 8 A Class of Quasi-Sparse Companion Pencils
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    Chapter 9 On Computing Eigenvectors of Symmetric Tridiagonal Matrices
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    Chapter 10 A Krylov Subspace Method for the Approximation of Bivariate Matrix Functions
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    Chapter 11 Uzawa-Type and Augmented Lagrangian Methods for Double Saddle Point Systems
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    Chapter 12 Generalized Block Tuned Preconditioners for SPD Eigensolvers
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    Chapter 13 Stability of Gyroscopic Systems with Respect to Perturbations
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    Chapter 14 Energetic BEM for the Numerical Solution of 2D Hard Scattering Problems of Damped Waves by Open Arcs
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    Chapter 15 Efficient Preconditioner Updates for Semilinear Space–Time Fractional Reaction–Diffusion Equations
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    Chapter 16 A Nuclear-Norm Model for Multi-Frame Super-Resolution Reconstruction from Video Clips
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Title
Structured Matrices in Numerical Linear Algebra
Published by
Springer International Publishing, March 2019
DOI 10.1007/978-3-030-04088-8
ISBNs
978-3-03-004087-1, 978-3-03-004088-8
Editors

Bini, Dario Andrea, Di Benedetto, Fabio, Tyrtyshnikov, Eugene, Van Barel, Marc

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