published in Linear Algebra and its Applications (LAA), 413:567593, 2006 EIGENVALUES, PSEUDOSPECTRUM AND STRUCTURED PERTURBATIONS SIEGFRIED M. RUMP ∗

Source URL: www.ti3.tu-harburg.de

EXPLICIT BOUNDS FOR THE PSEUDOSPECTRA OF VARIOUS CLASSES OF MATRICES AND OPERATORS FEIXUE GONG1 , OLIVIA MEYERSON2 , JEREMY MEZA3 , MIHAI STOICIU4 , ABIGAIL WARD5 Abstract. We study the ε-pseudospectra σε (A) of squa

Source URL: sites.williams.edu

• Matrix theory
• Matrices
• Linear algebra
• Spectral theory
• Numerical linear algebra
• Jordan normal form
• Diagonalizable matrix
• Eigenvalues and eigenvectors
• Diagonal matrix
• Spectrum
• Normal matrix
• Pseudospectrum

Computing the exact matrix pseudospectrum The GRID method revisited Maria Predari, Ioannis Koutis∗ and E. (Stratis) Gallopoulos Department of Computer Engineering & Informatics University of Patras, Rio Patras (*) Depa

Source URL: users.uoa.gr

EXCLUSION REGIONS AND FAST ESTIMATION OF PSEUDOSPECTRA I. KOUTIS AND

Source URL: ccom.uprrp.edu

• Matrix theory
• Numerical linear algebra
• Matrices
• Singular value decomposition
• Pseudospectrum
• Spectrum
• Gershgorin circle theorem
• Diagonal matrix
• Diagonalizable matrix
• Algebra
• Linear algebra
• Mathematics

Towards the Effective Parallel Computation of Matrix  Pseudospectra C. Bekas, E. Kokiopoulou I. Koutis

Source URL: ccom.uprrp.edu

• Numerical linear algebra
• Pseudospectrum
• Singular value decomposition
• Factorial
• Parallel computing
• Mathematics
• Algebra
• Linear algebra