On the public citation graph
Spectral portrait for non-hermitian large sparse matrices
0 signed · 26 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/0021-9991(75)90065-0openalex-snapshot
The iterative calculation of a few of the lowest eigenvalues and corresponding eigenvectors of large real-symmetric matrices
inferredcites →https://doi.org/10.1137/1.9781611971163openalex-snapshot
The Symmetric Eigenvalue Problem
inferredcites →https://doi.org/10.2307/2002959openalex-snapshot
Rounding Errors in Algebraic Processes
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/3-540-61142-8_564openalex-snapshot
Parallel computation of spectral portraits on the meiko CS2
inferred← citeshttps://doi.org/10.1007/3-540-62095-8_42openalex-snapshot
Parallel computation of spectral portrait of large matrices
inferred← citeshttps://doi.org/10.1007/bf01731925openalex-snapshot
Computing the field of values and pseudospectra using the Lanczos method with continuation
inferred← citeshttps://doi.org/10.1007/bf02510354openalex-snapshot
Pseudospectra for matrix pencils and stability of equilibria
inferred← citeshttps://doi.org/10.1007/bf02684362openalex-snapshot
Pseudospectra of linear matrix pencils by block diagonalization
inferred← citeshttps://doi.org/10.1016/b978-0-444-50617-7.50010-0openalex-snapshot
Eigenvalue computation in the 20th century
inferred← citeshttps://doi.org/10.1016/j.chaos.2025.116695openalex-snapshot
Multilayer directed random networks: Scaling of spectral properties
inferred← citeshttps://doi.org/10.1016/s0024-3795(98)00011-1openalex-snapshot
Computation of pseudospectra via spectral projectors
inferred← citeshttps://doi.org/10.1016/s0167-8191(01)00138-7openalex-snapshot
Dynamic ordering for a parallel block-Jacobi SVD algorithm
inferred← citeshttps://doi.org/10.1016/s0377-0427(00)00413-1openalex-snapshot
Eigenvalue computation in the 20th century
inferred← citeshttps://doi.org/10.1016/s1570-8659(02)08003-1openalex-snapshot
Computational methods for large eigenvalue problems
inferred← citeshttps://doi.org/10.1017/s0962492900002932openalex-snapshot
Computation of pseudospectra
inferred← citeshttps://doi.org/10.1023/a:1019126827697openalex-snapshot
Parallel computation of spectral portrait of large matrices by Davidson type methods
inferred← citeshttps://doi.org/10.1023/a:1021938406143openalex-snapshot
Pseudospectra Analysis, Nonlinear Eigenvalue Problems, and Studying Linear Systems with Delays
inferred← citeshttps://doi.org/10.1023/a:1022302215539openalex-snapshot
Remarks on Non-Linear Spectral Perturbation
inferred← citeshttps://doi.org/10.1080/1063719031000088003openalex-snapshot
Special Issue: A systolic block-Jacobi SVD solver for processor meshes
inferred← citeshttps://doi.org/10.1103/physreve.110.044124openalex-snapshot
Non-Hermitian diluted banded random matrices: Scaling of eigenfunction and spectral properties
inferred← citeshttps://doi.org/10.1108/02644400010334810openalex-snapshot
Topological analysis of eigenvalues in engineering computations
inferred← citeshttps://doi.org/10.1109/empdp.2001.905057openalex-snapshot
Multi-level parallelism in the block-Jacobi SVD algorithm
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.