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Book ChapterDOI

Computing the Inverse Matrix Hyperbolic Sine

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TLDR
In this article, necessary and sufficient conditions for solvability of the matrix equation sinh X = A in the complex and real cases were given and some algorithms for computing one of these solutions were presented.
Abstract
We give necessary and sufficient conditions for solvability of the matrix equation sinh X = A in the complex and real cases and present some algorithms for computing one of these solutions. The numerical features of the algorithms are analysed along with some numerical tests.

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Posted Content

The Link Prediction Problem in Bipartite Networks

TL;DR: In this article, the link prediction problem in bipartite networks was studied and generalized to bipartitite graphs, where the positive-semidefinite kernel constraint was relaxed.
Book ChapterDOI

The link prediction problem in bipartite networks

TL;DR: The link prediction problem in bipartite networks is defined and study, specializing general link prediction algorithms to the bipartites case, leading to several new link prediction pseudokernels such as the matrix hyperbolic sine.
Journal ArticleDOI

The Moser-Veselov equation

TL;DR: In this article, the authors studied the orthogonal solutions of the matrix equation XJ − JX T = M, where J is symmetric positive definite and M is skew-symmetric.
Journal ArticleDOI

Matrix Inverse Trigonometric and Inverse Hyperbolic Functions: Theory and Algorithms

TL;DR: Theoretical and computational aspects of matrix inverse trigonometric and inverse hyperbolic functions are studied, and the principal values acos, asin, acosh, and asinh are defined and shown to be unique primary matrix functions.
Dissertation

Theory and Algorithms for Periodic Functions of Matrices, with Applications

TL;DR: The matrix unwinding function is shown to be useful for computing the matrix exponential using an idea of argument reduction, and theoretical and computational aspects of matrix inverse trigonometric and inverse hyperbolic functions are studied.
References
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Book

Matrix computations

Gene H. Golub
Book

Topics in Matrix Analysis

TL;DR: The field of values as discussed by the authors is a generalization of the field of value of matrices and functions, and it includes singular value inequalities, matrix equations and Kronecker products, and Hadamard products.
Journal ArticleDOI

Computing real square roots of a real matrix

TL;DR: An extension of the Schur method is presented which enables real arithmetic to be used throughout when computing a real square root of a real matrix.
Journal ArticleDOI

Stable iterations for the matrix square root

TL;DR: It is shown that apparently innocuous algorithmic modifications to the Padé iteration can lead to instability, and a perturbation analysis is given to provide some explanation.
Journal ArticleDOI

Condition Estimates for Matrix Functions

TL;DR: In this article, a sensitivity theory based on Frechet derivatives is presented that has both theoretical and computational advantages, and two norm-estimation procedures are given; the first is based on a finite-difference approximation of the Frechet derivative and costs only two extra function evaluations.
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