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Electronic Colloquium on Computational Complexity

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TR22-026 | 17th February 2022
James Cook, Ian Mertz

Trading Time and Space in Catalytic Branching Programs

An $m$-catalytic branching program (Girard, Koucky, McKenzie 2015) is a set of $m$ distinct branching programs for $f$ which are permitted to share internal (i.e. non-source non-sink) nodes. While originally introduced as a non-uniform analogue to catalytic space, this also gives a natural notion of amortized non-uniform space complexity for ... more >>>


TR22-025 | 15th February 2022
Oliver Korten

Efficient Low-Space Simulations From the Failure of the Weak Pigeonhole Principle

Revisions: 3

A recurring challenge in the theory of pseudorandomness and circuit complexity is the explicit construction of ``incompressible strings,'' i.e. finite objects which lack a specific type of structure or simplicity. In most cases, there is an associated NP search problem which we call the ``compression problem,'' where we are given ... more >>>


TR22-024 | 17th February 2022
Louis Golowich, Salil Vadhan

Pseudorandomness of Expander Random Walks for Symmetric Functions and Permutation Branching Programs

Revisions: 1

We study the pseudorandomness of random walks on expander graphs against tests computed by symmetric functions and permutation branching programs. These questions are motivated by applications of expander walks in the coding theory and derandomization literatures. We show that expander walks fool symmetric functions up to a $O(\lambda)$ error in ... more >>>



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