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Electronic Colloquium on Computational Complexity

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TR24-124 | 26th July 2024
Oded Goldreich

Solving Tree Evaluation in $o(\log n \cdot \log\log n)$ space

The input to the Tree Evaluation problem is a binary tree of height $h$ in which each internal vertex is associated with a function mapping pairs of $\ell$-bit strings to $\ell$-bit strings,and each leaf is assigned an $\ell$-bit string.
The desired output is the value of the root, where ... more >>>


TR24-123 | 22nd July 2024
Vishwas Bhargava, Devansh Shringi

Faster & Deterministic FPT Algorithm for Worst-Case Tensor Decomposition

We present a deterministic $2^{k^{\mathcal{O}(1)}} \text{poly}(n,d)$ time algorithm for decomposing $d$-dimensional, width-$n$ tensors of rank at most $k$ over $\mathbb{R}$ and $\mathbb{C}$. This improves upon the previous randomized algorithm of Peleg, Shpilka, and Volk (ITCS '24) that takes $2^{k^{k^{\mathcal{O}(k)}}} \text{poly}(n,d)$ time and the deterministic $n^{k^k}$ time algorithms of Bhargava, Saraf, ... more >>>


TR24-122 | 28th June 2024
Antoine Joux, Anand Kumar Narayanan

A high dimensional Cramer's rule connecting homogeneous multilinear equations to hyperdeterminants

We present a new algorithm for solving homogeneous multilinear equations, which are high dimensional generalisations of solving homogeneous linear equations. First, we present a linear time reduction from solving generic homogeneous multilinear equations to computing hyperdeterminants, via a high dimensional Cramer's rule. Hyperdeterminants are generalisations of determinants, associated with tensors ... more >>>



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