All reports by Author Alexander Kulikov:

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TR21-044
| 14th February 2021
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Alexander Kulikov, Nikita Slezkin#### SAT-based Circuit Local Improvement

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TR19-002
| 31st December 2018
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Alexander Kulikov, Ivan Mikhailin, Andrey Mokhov, Vladimir Podolskii#### Complexity of Linear Operators

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TR18-192
| 12th November 2018
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Alexander Golovnev, Alexander Kulikov#### Circuit Depth Reductions

Revisions: 3

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TR16-158
| 9th October 2016
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Alexander Kulikov, Vladimir Podolskii#### Computing Majority by Constant Depth Majority Circuits with Low Fan-in Gates

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TR16-119
| 1st August 2016
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Alexander Golovnev, Edward Hirsch, Alexander Knop, Alexander Kulikov#### On the Limits of Gate Elimination

Revisions: 1

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TR16-022
| 22nd February 2016
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Alexander Golovnev, Alexander Kulikov, Alexander Smal, Suguru Tamaki#### Circuit size lower bounds and #SAT upper bounds through a general framework

Revisions: 2

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TR15-170
| 26th October 2015
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Alexander Golovnev, Alexander Kulikov#### Weighted gate elimination: Boolean dispersers for quadratic varieties imply improved circuit lower bounds

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TR15-166
| 17th October 2015
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Magnus Gausdal Find, Alexander Golovnev, Edward Hirsch, Alexander Kulikov#### A better-than-$3n$ lower bound for the circuit complexity of an explicit function

Revisions: 2

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TR11-026
| 27th February 2011
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Evgeny Demenkov, Alexander Kulikov#### An Elementary Proof of $3n-o(n)$ Lower Bound on the Circuit Complexity of Affine Dispersers

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TR09-040
| 20th April 2009
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Pavel Hrubes, Stasys Jukna, Alexander Kulikov, Pavel Pudlak#### On convex complexity measures

Alexander Kulikov, Nikita Slezkin

Finding exact circuit size is a notorious optimization problem in practice. Whereas modern computers and algorithmic techniques allow to find a circuit of size seven in blink of an eye, it may take more than a week to search for a circuit of size thirteen. One of the reasons of ... more >>>

Alexander Kulikov, Ivan Mikhailin, Andrey Mokhov, Vladimir Podolskii

Let $A \in \{0,1\}^{n \times n}$ be a matrix with $z$ zeroes and $u$ ones and $x$ be an $n$-dimensional vector of formal variables over a semigroup $(S, \circ)$. How many semigroup operations are required to compute the linear operator $Ax$?

As we observe in this paper, this problem contains ... more >>>

Alexander Golovnev, Alexander Kulikov

The best known circuit lower bounds against unrestricted circuits remained around $3n$ for several decades. Moreover, the only known technique for proving lower bounds in this model, gate elimination, is inherently limited to proving lower bounds of less than $5n$. In this work, we suggest a first non-gate-elimination approach for ... more >>>

Alexander Kulikov, Vladimir Podolskii

We study the following computational problem: for which values of $k$, the majority of $n$ bits $\text{MAJ}_n$ can be computed with a depth two formula whose each gate computes a majority function of at most $k$ bits? The corresponding computational model is denoted by $\text{MAJ}_k \circ \text{MAJ}_k$. We observe that ... more >>>

Alexander Golovnev, Edward Hirsch, Alexander Knop, Alexander Kulikov

Although a simple counting argument shows the existence of Boolean functions of exponential circuit complexity, proving superlinear circuit lower bounds for explicit functions seems to be out of reach of the current techniques. There has been a (very slow) progress in proving linear lower bounds with the latest record of ... more >>>

Alexander Golovnev, Alexander Kulikov, Alexander Smal, Suguru Tamaki

Most of the known lower bounds for binary Boolean circuits with unrestricted depth are proved by the gate elimination method. The most efficient known algorithms for the #SAT problem on binary Boolean circuits use similar case analyses to the ones in gate elimination. Chen and Kabanets recently showed that the ... more >>>

Alexander Golovnev, Alexander Kulikov

In this paper we motivate the study of Boolean dispersers for quadratic varieties by showing that an explicit construction of such objects gives improved circuit lower bounds. An $(n,k,s)$-quadratic disperser is a function on $n$ variables that is not constant on any subset of $\mathbb{F}_2^n$ of size at least $s$ ... more >>>

Magnus Gausdal Find, Alexander Golovnev, Edward Hirsch, Alexander Kulikov

We consider Boolean circuits over the full binary basis. We prove a $(3+\frac{1}{86})n-o(n)$ lower bound on the size of such a circuit for an explicitly defined predicate, namely an affine disperser for sublinear dimension. This improves the $3n-o(n)$ bound of Norbert Blum (1984). The proof is based on the gate ... more >>>

Evgeny Demenkov, Alexander Kulikov

A Boolean function $f \colon \mathbb{F}^n_2 \rightarrow \mathbb{F}_2$ is called an affine disperser for sources of dimension $d$, if $f$ is not constant on any affine subspace of $\mathbb{F}^n_2$ of dimension at least $d$. Recently Ben-Sasson and Kopparty gave an explicit construction of an affine disperser for $d=o(n)$. The main ... more >>>

Pavel Hrubes, Stasys Jukna, Alexander Kulikov, Pavel Pudlak

Khrapchenko's classical lower bound $n^2$ on the formula size of the

parity function~$f$ can be interpreted as designing a suitable

measure of subrectangles of the combinatorial rectangle

$f^{-1}(0)\times f^{-1}(1)$. Trying to generalize this approach we

arrived at the concept of \emph{convex measures}. We prove the

more >>>