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Approximately counting the number of constrained arrays via the sum-product algorithm

机译:通过求和积算法近似计算约束数组的数量

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Very often, constrained coding schemes impose nonlinear constraints on arrays and therefore it is usually nontrivial to determine how many arrays satisfy the given constraints. In this paper we show that there are non-trivial constrained coding scenarios where the number of constrained arrays can be estimated to a surprisingly high accuracy with the help of the sum-product algorithm, despite the fact that the underlying factor graphs have many short cycles, and we investigate the reasons why this is the case. These findings open up interesting possibilities for determining the number of constrained arrays also for scenarios where other counting and bounding techniques are not readily available.
机译:约束编码方案通常会在数组上施加非线性约束,因此通常很难确定有多少个数组满足给定约束。在本文中,我们证明了存在一些非平凡的约束编码方案,尽管潜在的因子图具有许多短周期,但在求和积算法的帮助下,约束数组的数量可以达到令人惊讶的高精度。 ,我们将调查这种情况的原因。这些发现为确定约束阵列的数量提供了有趣的可能性,也适用于其他计数和边界技术不易获得的情况。

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