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A parallel algorithm for computing the extremal eigenvalues of very large sparse matrices
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/bf01459947openalex-snapshot
The method of coordinate overrelaxation for (A??B)x=0
inferredcites →https://doi.org/10.1016/0020-0190(93)90246-6openalex-snapshot
A still better performance guarantee for approximate graph coloring
inferredcites →https://doi.org/10.1016/0021-9991(73)90149-6openalex-snapshot
The iterative calculation of several of the lowest or highest eigenvalues and corresponding eigenvectors of very large symmetric matrices
inferredcites →https://doi.org/10.1090/s0025-5718-1974-0378378-xopenalex-snapshot
𝑆𝑂𝑅-methods for the eigenvalue problem with large sparse matrices
inferredcites →https://doi.org/10.1137/0914037openalex-snapshot
Preconditioning the Lanczos Algorithm for Sparse Symmetric Eigenvalue Problems
inferredcites →https://doi.org/10.21236/ada447560openalex-snapshot
Deflation Techniques for an Implicitly Re-started Arnoldi Iteration
inferredcites →https://doi.org/10.2307/2003785openalex-snapshot
Computational Methods of Linear Algebra
inferredcites →https://doi.org/10.2307/2005690openalex-snapshot
SOR-Methods for the Eigenvalue Problem with Large Sparse Matrices
inferredcites →https://doi.org/10.5555/602770.602806openalex-snapshot
A parallel Gauss-Seidel algorithm for sparse power system matrices
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/1096-9128(200010)12:12<1131::aid-cpe528>3.0.co;2-2openalex-snapshot
Scalable parallel graph coloring algorithms
inferred← citeshttps://doi.org/10.1007/978-3-030-10692-8_12openalex-snapshot
Evaluation of Serial and Parallel Shared-Memory Distance-1 Graph Coloring Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-030-29400-7_27openalex-snapshot
Graph Coloring Using GPUs
inferred← citeshttps://doi.org/10.1007/978-3-662-48096-0_32openalex-snapshot
A Fast and Scalable Graph Coloring Algorithm for Multi-core and Many-core Architectures
inferred← citeshttps://doi.org/10.1007/s11227-005-0311-2openalex-snapshot
Approaches Based on Permutations for Partitioning Sparse Matrices on Multiprocessors
inferred← citeshttps://doi.org/10.1016/j.jpdc.2007.08.002openalex-snapshot
A framework for scalable greedy coloring on distributed-memory parallel computers
inferred← citeshttps://doi.org/10.1016/s0166-218x(02)00424-9openalex-snapshot
Graph coloring on coarse grained multicomputers
inferred← citeshttps://doi.org/10.1109/glocom.2013.6831696openalex-snapshot
Null space learning in cooperative MIMO cellular networks using interference feedback
inferred← citeshttps://doi.org/10.1109/twc.2015.2415483openalex-snapshot
Null Space Learning in Cooperative MIMO Cellular Networks Using Interference Feedback
inferred← citeshttps://doi.org/10.1155/2012/713587openalex-snapshot
The Zoltan and Isorropia Parallel Toolkits for Combinatorial Scientific Computing: Partitioning, Ordering and Coloring
inferred← citeshttps://doi.org/10.25560/24812openalex-snapshot
Scalable Multithreaded Algorithms for Mutable Irregular Data with Application to Anisotropic Mesh Adaptivity
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