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Fast parallel calculation of the rank of matrices over a field of arbitrary characteristic

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-10856-4_79openalex-snapshot
Fast parallel computation of polynomials using few processors
inferredcites →https://doi.org/10.1016/0020-0190(80)90042-3openalex-snapshot
A note on the parallel complexity of computing the rank of order n matrices
inferredcites →https://doi.org/10.1016/0304-3975(83)90002-6openalex-snapshot
Definability and fast quantifier elimination in algebraically closed fields
inferredcites →https://doi.org/10.1016/s0019-9958(82)90766-5openalex-snapshot
Fast parallel matrix and GCD computations
inferredcites →https://doi.org/10.1137/0205040openalex-snapshot
Fast Parallel Matrix Inversion Algorithms
inferredcites →https://doi.org/10.1137/0208010openalex-snapshot
On the Parallel Evaluation of Multivariate Polynomials
inferredcites →https://doi.org/10.1137/0212043openalex-snapshot
Fast Parallel Computation of Polynomials Using Few Processors
inferredcites →https://doi.org/10.1145/800133.804339openalex-snapshot
Parallelism in random access machines

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Complexity lower bounds for computation trees with elementary transcendental function gates
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Parallel computation of polynomial GCD and some related parallel computations over abstract fields
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Efficient parallel independent subsets and matrix factorizations
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Effective Lower Bounds on the Matrix Rank and Their Applications
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Generalization of the Subset Sum Problem and Cubic Forms
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Work-Preserving Speed-Up of Parallel Matrix Computations
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Computing the complexification of a semi-algebraic set
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Polynomial Time Interactive Proofs for Linear Algebra with Exponential Matrix Dimensions and Scalars Given by Polynomial Time Circuits
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Generalization of the Subset Sum Problem and Cubic Forms
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Effective Lower Bounds on the Matrix Rank and Their Applications
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