On analyticity of functions involving eigenvalues

From MaRDI portal
Publication:1334916

DOI10.1016/0024-3795(94)90009-4zbMath0805.15022OpenAlexW2005575002MaRDI QIDQ1334916

Nam-Kiu Tsing, Erik I. Verriest, Michael Ko-Hui Fan

Publication date: 26 September 1994

Published in: Linear Algebra and its Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0024-3795(94)90009-4



Related Items

Generalized maximum-entropy sampling, Spectral (isotropic) manifolds and their dimension, On minimizing the largest eigenvalue of a symmetric matrix, Analysis of Symmetric Matrix Valued Functions, Eigenvalue multiplicity estimate in semidefinite programming, Solving maximum-entropy sampling problems using factored masks, The higher-order derivatives of spectral functions, Body-ordered approximations of atomic properties, A unified approach to operator monotone functions, Nonconcavity of the spectral radius in Levinger's theorem, Some New Methods for Generating Convex Functions, Scalar curvature and deformations of complex structures, An Approximation Scheme for Distributionally Robust Nonlinear Optimization, Clarke generalized Jacobian of the projection onto the cone of positive semidefinite matrices, First order optimality conditions for mathematical programs with semidefinite cone complementarity constraints, The rate of convergence of the augmented Lagrangian method for nonlinear semidefinite programming, The Five Trolls Under the Bridge: Principal Component Analysis With Asynchronous and Noisy High Frequency Data, Partial Smoothness of the Numerical Radius at Matrices Whose Fields of Values are Disks, Derivatives of compound matrix valued functions, A Unified Approach to Spectral and Isotropic Functions, On the analyticity of k-isotropic functions, Asymptotic expansions of the ordered spectrum of symmetric matrices, Cone-constrained eigenvalue problems: Theory and algorithms, Quadratic expansions of spectral functions, A quadratically convergent local algorithm on minimizing the largest eigenvalue of a symmetric matrix, Exterior minimum-penalty path-following methods in semidefinite programming, A quadratically convergent local algorithm on minimizing sums of the largest eigenvalues of a symmetric matrix, Second-order directional derivatives of spectral functions


Uses Software


Cites Work