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Electronic Colloquium on Computational Complexity

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TR21-049 | 1st April 2021
Juraj Hromkovic

Kolmogorov complexity and nondeterminism versus determinism for polynomial time computations

Revisions: 1

We call any consistent and sufficiently powerful formal theory that enables to algorithmically in polynomial time verify whether a text is a proof \textbf{efficiently verifiable mathematics} (ev-mathematics). We study the question whether nondeterminism is more powerful than determinism for polynomial time computations in the framework of ev-mathematics. Our main results ... more >>>


TR21-048 | 27th March 2021
William Hoza

Better Pseudodistributions and Derandomization for Space-Bounded Computation

Revisions: 1

Three decades ago, Nisan constructed an explicit pseudorandom generator (PRG) that fools width-$n$ length-$n$ read-once branching programs (ROBPs) with error $\varepsilon$ and seed length $O(\log^2 n + \log n \cdot \log(1/\varepsilon))$ (Combinatorica 1992). Nisan's generator remains the best explicit PRG known for this important model of computation. However, a recent ... more >>>


TR21-047 | 26th March 2021
Zander Kelley, Raghu Meka

Random restrictions and PRGs for PTFs in Gaussian Space

Revisions: 1

A polynomial threshold function (PTF) $f:\mathbb{R}^n \rightarrow \mathbb{R}$ is a function of the form $f(x) = sign(p(x))$ where $p$ is a polynomial of degree at most $d$. PTFs are a classical and well-studied complexity class with applications across complexity theory, learning theory, approximation theory, quantum complexity and more. We address ... more >>>



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