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Streaming and Sketching Complexity of CSPs: A survey

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arxiv 2205.02744 v1 pith:4VH2NPFW submitted 2022-05-05 cs.CC cs.DS

classification cs.CCcs.DS
keywords sketchingcomplexitycspssomestreamingsurveyalgorithmsapproximately
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In this survey we describe progress over the last decade or so in understanding the complexity of solving constraint satisfaction problems (CSPs) approximately in the streaming and sketching models of computation. After surveying some of the results we give some sketches of the proofs and in particular try to explain why there is a tight dichotomy result for sketching algorithms working in subpolynomial space regime.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Explicit Solution Equation for Every Combinatorial Problem via Tensor Networks: MeLoCoToN

    cs.ET 2025-02 reject novelty 4.0 of 10

    Any finite combinatorial problem with a known logical circuit can be encoded as a tensor network whose contraction defines an explicit, though generally inefficient, solution equation.

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