scholarly journals Approximate Counting with Deterministic Guarantees for Affinity Computation

2015 ◽  
pp. 165-176 ◽  
Author(s):  
Clément Viricel ◽  
David Simoncini ◽  
David Allouche ◽  
Simon de Givry ◽  
Sophie Barbe ◽  
...  
Keyword(s):  
Approximate Counting

Simple and fast approximate counting and leader election in populations

2021 ◽  
pp. 104698
Author(s):  
Othon Michail ◽  
Paul G. Spirakis ◽  
Michail Theofilatos
Keyword(s):  
Leader Election ◽  
Approximate Counting

scholarly journals FRAGMENTS OF APPROXIMATE COUNTING

2014 ◽  
Vol 79 (2) ◽  
pp. 496-525 ◽  
Author(s):  
SAMUEL R. BUSS ◽  
LESZEK ALEKSANDER KOŁODZIEJCZYK ◽  
NEIL THAPEN
Keyword(s):  
Polynomial Time ◽  
Open Problem ◽  
Bounded Arithmetic ◽  
Pigeonhole Principle ◽  
Approximate Counting ◽  
Image Position

AbstractWe study the long-standing open problem of giving $\forall {\rm{\Sigma }}_1^b$ separations for fragments of bounded arithmetic in the relativized setting. Rather than considering the usual fragments defined by the amount of induction they allow, we study Jeřábek’s theories for approximate counting and their subtheories. We show that the $\forall {\rm{\Sigma }}_1^b$ Herbrandized ordering principle is unprovable in a fragment of bounded arithmetic that includes the injective weak pigeonhole principle for polynomial time functions, and also in a fragment that includes the surjective weak pigeonhole principle for FPNP functions. We further give new propositional translations, in terms of random resolution refutations, for the consequences of $T_2^1$ augmented with the surjective weak pigeonhole principle for polynomial time functions.

scholarly journals Approximate counting : an alternative approach

1991 ◽  
Vol 25 (1) ◽  
pp. 43-48 ◽  
Author(s):  
Peter Kirschenhofer ◽  
Helmut Prodinger
Keyword(s):  
Approximate Counting ◽  
Alternative Approach

scholarly journals Randomized feasible interpolation and monotone circuits with a local oracle

2018 ◽  
Vol 18 (02) ◽  
pp. 1850012 ◽  
Author(s):  
Jan Krajíček
Keyword(s):  
Lower Bounds ◽  
Cutting Planes ◽  
Communication Complexity ◽  
Interpolation Theorem ◽  
Proof System ◽  
Symbolic Logic ◽  
Approximate Counting ◽  
Small Width ◽  
Randomized Protocols ◽  
Monotone Circuits

The feasible interpolation theorem for semantic derivations from [J. Krajíček, Interpolation theorems, lower bounds for proof systems, and independence results for bounded arithmetic, J. Symbolic Logic 62(2) (1997) 457–486] allows to derive from some short semantic derivations (e.g. in resolution) of the disjointness of two [Formula: see text] sets [Formula: see text] and [Formula: see text] a small communication protocol (a general dag-like protocol in the sense of Krajíček (1997) computing the Karchmer–Wigderson multi-function [Formula: see text] associated with the sets, and such a protocol further yields a small circuit separating [Formula: see text] from [Formula: see text]. When [Formula: see text] is closed upwards, the protocol computes the monotone Karchmer–Wigderson multi-function [Formula: see text] and the resulting circuit is monotone. Krajíček [Interpolation by a game, Math. Logic Quart. 44(4) (1998) 450–458] extended the feasible interpolation theorem to a larger class of semantic derivations using the notion of a real communication complexity (e.g. to the cutting planes proof system CP). In this paper, we generalize the method to a still larger class of semantic derivations by allowing randomized protocols. We also introduce an extension of the monotone circuit model, monotone circuits with a local oracle (CLOs), that does correspond to communication protocols for [Formula: see text] making errors. The new randomized feasible interpolation thus shows that a short semantic derivation (from a certain class of derivations larger than in the original method) of the disjointness of [Formula: see text], [Formula: see text] closed upwards, yields a small randomized protocol for [Formula: see text] and hence a small monotone CLO separating the two sets. This research is motivated by the open problem to establish a lower bound for proof system [Formula: see text] operating with clauses formed by linear Boolean functions over [Formula: see text]. The new randomized feasible interpolation applies to this proof system and also to (the semantic versions of) cutting planes CP, to small width resolution over CP of Krajíček [Discretely ordered modules as a first-order extension of the cutting planes proof system, J. Symbolic Logic 63(4) (1998) 1582–1596] (system R(CP)) and to random resolution RR of Buss, Kolodziejczyk and Thapen [Fragments of approximate counting, J. Symbolic Logic 79(2) (2014) 496–525]. The method does not yield yet lengths-of-proofs lower bounds; for this it is necessary to establish lower bounds for randomized protocols or for monotone CLOs.

scholarly journals Quantum Approximate Counting, Simplified

2020 ◽  
pp. 24-32 ◽  
Author(s):  
Scott Aaronson ◽  
Patrick Rall
Keyword(s):  
Approximate Counting

scholarly journals Boolean approximate counting CSPs with weak conservativity, and implications for ferromagnetic two-spin

2020 ◽  
Vol 109 ◽  
pp. 95-125
Author(s):  
Miriam Backens ◽  
Andrei Bulatov ◽  
Leslie Ann Goldberg ◽  
Colin McQuillan ◽  
Stanislav Živný
Keyword(s):  
Approximate Counting
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