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Everything about Block Wiedemann algorithm
Algorithm for computing kernel vectors
The block Wiedemann algorithm for computing kernel vectors of a matrix over a finite field is a generalization by Don Coppersmith of an algorithm due to Doug Wiedemann. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Block Wiedemann algorithmA 5-minute orientation
- Read the landmark paper: Solving Homogeneous Linear Equations Over GF(2) via Block Wiedemann AlgorithmCited 57 times
- Go sideways: Grothendieck inequalityA closely related topic
- Go sideways: Semidefinite programmingA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
Solving Homogeneous Linear Equations Over GF(2) via Block Wiedemann Algorithm
Subquadratic Computation of Vector Generating Polynomials and Improvement of the Block Wiedemann Algorithm
Analysis of Coppersmith's Block Wiedemann Algorithm for the Parallel Solution of Sparse Linear Systems
Parallel GNFS algorithm integrated with parallel block Wiedemann algorithm for RSA security in cloud computing
Solving homogeneous linear equations over 𝐺𝐹(2) via block Wiedemann algorithm
Analysis of Coppersmith’s block Wiedemann algorithm for the parallel solution of sparse linear systems
Iterative sparse matrix–vector multiplication for accelerating the block Wiedemann algorithm over GF(2) on multi‐graphics processing unit systems
Block Wiedemann algorithm on multicore architectures
📚 Books worth reading
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