论文标题

嘈杂的多项式插值模型素数

Noisy polynomial interpolation modulo prime powers

论文作者

Karpinski, Marek, Shparlinski, Igor

论文摘要

我们考虑恢复未知的$ s $ -s $ -s $ -s $ s $ s $ s $ f(x)$的{ \ Mathbb z_ {p^k} $。对于残留物modulo而言,类似的结果是一个大的prime $ p $,但是Prime Power Modulus $ P^K $的情况是小$ P $和大$ K $,是新的,需要不同的技术。我们给出了确定性的多项式时间算法,该算法几乎给出了超过一半的$ f(t)$,以足够多的随机选择点$ t \ in \ mathbb z_ {p^k}^*$,恢复$ f(x)$。

We consider the {\it noisy polynomial interpolation problem\/} of recovering an unknown $s$-sparse polynomial $f(X)$ over the ring $\mathbb Z_{p^k}$ of residues modulo $p^k$, where $p$ is a small prime and $k$ is a large integer parameter, from approximate values of the residues of $f(t) \in \mathbb Z_{p^k}$. Similar results are known for residues modulo a large prime $p$, however the case of prime power modulus $p^k$, with small $p$ and large $k$, is new and requires different techniques. We give a deterministic polynomial time algorithm, which for almost given more than a half bits of $f(t)$ for sufficiently many randomly chosen points $t \in \mathbb Z_{p^k}^*$, recovers $f(X)$.

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