## IACR paper details

Title | Unbalanced Digit Sets and the Closest Choice Strategy for Minimal Weight Integer Representations |
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Booktitle | IACR Eprint archive |
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Pages | |
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Year | 2008 |
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URL | http://eprint.iacr.org/2008/135 |
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Author | Clemens Heuberger |
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Author | James A. Muir |
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Abstract |
An online algorithm is presented that produces an optimal radix-2 representation of an input integer $n$ using digits from the set $D_{\ell,u}=\{a\in\Z:\ell\le a\le u\}$, where $\ell \leq 0$ and $u \geq 1$. The algorithm works by scanning the digits of the binary representation of $n$ from left-to-right (\ie from most-significant to least-significant). The output representation is optimal in the sense that, of all radix-2 representations of $n$ with digits from $D_{\ell,u}$, it has as few nonzero digits as possible (\ie it has \emph{minimal weight}). Such representations are useful in the efficient implementation of elliptic curve cryptography. The strategy the algorithm utilizes is to choose an integer of the form $d 2^i$, where $d \in D_{\ell,u}$, that is closest to $n$ with respect to a particular distance function. It is possible to choose values of $\ell$ and $u$ so that the set $D_{\ell,u}$ is unbalanced in the sense that it contains more negative digits than positive digits, or more positive digits than negative digits. Our distance function takes the possible unbalanced nature of $D_{\ell,u}$ into account. |
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Search for the paper

@misc{eprint-2008-17812,
title={Unbalanced Digit Sets and the Closest Choice Strategy for Minimal Weight Integer Representations},
booktitle={IACR Eprint archive},
keywords={implementation / redundant number systems, minimal weight},
url={http://eprint.iacr.org/2008/135},
note={ jamuir@cs.smu.ca 13964 received 25 Mar 2008, last revised 26 Mar 2008},
author={Clemens Heuberger and James A. Muir},
year=2008
}

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