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Electronic Colloquium on Computational Complexity

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TR00-074 | 12th July 2000
Daniele Micciancio, Bogdan Warinschi

A Linear Space Algorithm for Computing the Hermite Normal Form

Computing the Hermite Normal Form
of an $n\times n$ matrix using the best current algorithms typically
requires $O(n^3\log M)$ space, where $M$ is a bound on the length of
the columns of the input matrix.
Although polynomial in the input size (which ... more >>>


TR00-073 | 28th August 2000
Venkatesan Guruswami, Sanjeev Khanna

On the Hardness of 4-coloring a 3-colorable Graph

We give a new proof showing that it is NP-hard to color a 3-colorable
graph using just four colors. This result is already known (Khanna,
Linial, Safra 1992), but our proof is novel as it does not rely on
the PCP theorem, while the earlier one does. This ... more >>>


TR00-072 | 14th July 2000
Peter Auer, Philip M. Long, Aravind Srinivasan

Approximating Hyper-Rectangles: Learning and Pseudo-random Sets

The PAC learning of rectangles has been studied because they have
been found experimentally to yield excellent hypotheses for several
applied learning problems. Also, pseudorandom sets for rectangles
have been actively studied recently because (i) they are a subproblem
common to the derandomization of depth-2 (DNF) ... more >>>



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