Parallel algorithm for matroid basis computation with O(n^{1/3} log^{1/3} n) round complexity, nearly matching the KUW lower bound.
Sparsification of binary C S P s
4 Pith papers cite this work, alongside 5 external citations. Polarity classification is still indexing.
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cs.DS 4representative citing papers
A new algorithm finds a matroid basis in tilde O(n to the 3/7) adaptive rounds via independence oracle.
Introduces strong sparsification for 1-in-3-SAT by merging variables, relying on a sub-quadratic vector-set bound derived from the Polynomial Freiman-Ruzsa Theorem, with an application to hypergraph coloring approximation.
Every abelian Cayley graph admits an optimal O(ε^{-2} log |G|)-generator weighted Cayley spectral sparsifier, proved via a character-symmetry volume bound on a sparsification polytope.
citing papers explorer
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A Near-Optimal Parallel Algorithm for Finding Matroid Bases
Parallel algorithm for matroid basis computation with O(n^{1/3} log^{1/3} n) round complexity, nearly matching the KUW lower bound.
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An $\widetilde{O} (n^{3/7})$ Round Parallel Algorithm for Matroid Bases
A new algorithm finds a matroid basis in tilde O(n to the 3/7) adaptive rounds via independence oracle.
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Strong Sparsification for 1-in-3-SAT via Polynomial Freiman-Ruzsa
Introduces strong sparsification for 1-in-3-SAT by merging variables, relying on a sub-quadratic vector-set bound derived from the Polynomial Freiman-Ruzsa Theorem, with an application to hypergraph coloring approximation.
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Optimal Sparsifiers for Abelian Cayley Graphs
Every abelian Cayley graph admits an optimal O(ε^{-2} log |G|)-generator weighted Cayley spectral sparsifier, proved via a character-symmetry volume bound on a sparsification polytope.