当前位置: X-MOL 学术Theor. Comput. Sci. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Reconfiguration of satisfying assignments and subset sums: Easy to find, hard to connect
Theoretical Computer Science ( IF 1.1 ) Pub Date : 2019-07-02 , DOI: 10.1016/j.tcs.2019.05.028
Jean Cardinal , Erik D. Demaine , David Eppstein , Robert A. Hearn , Andrew Winslow

We consider the computational complexity of reconfiguration problems, in which one is given two combinatorial configurations satisfying some constraints, and is asked to transform one into the other using elementary operations, while satisfying the constraints at all times. Such problems appear naturally in many contexts, such as model checking, motion planning, enumeration, sampling, and recreational mathematics. We provide hardness results for problems in this family, in which the constraints and operations are particularly simple.

More precisely, we prove the PSPACE-completeness of the following decision problems:

Given two satisfying assignments of a planar monotone instance of NAE 3-SAT, can one assignment be transformed into the other by a sequence of variable flips such that the formula remains satisfied at every step?

Given two subsets of a set S of integers with the same sum, can one subset be transformed into the other by adding or removing at most three elements of S at a time, such that the intermediate subsets also have the same sum?

Given two points in {0,1}n contained in a polytope P specified by a constant number of linear inequalities, is there a path in the n-hypercube connecting the two points and contained in P?

These problems can be interpreted as reconfiguration analogues of standard problems in NP. Interestingly, the sets of instances that appear as input to the reconfiguration problems in our reductions lie in P. In particular, the elements of S and the coefficients of the inequalities defining P can be restricted to have logarithmic bit-length.


中文翻译:

重新配置令人满意的作业和子集总和:易于查找,难以连接

我们考虑了重新配置问题的计算复杂性,其中给了一个满足某些约束的两个组合配置,并要求他们使用基本运算将一个转换为另一个,同时始终满足约束。这样的问题在许多情况下自然出现,例如模型检查,运动计划,枚举,采样和娱乐数学。我们为该系列中的问题提供硬度结果,其中的约束和操作特别简单。

更准确地说,我们证明了以下决策问题的PSPACE-完整性:

给定NAE 3-SAT的平面单调实例的两个令人满意的分配,是否可以通过一系列可变翻转将一个分配转换为另一个分配,以使公式在每一步都保持满足?

给定一组整数S的两个子集具有相同的总和,是否可以通过一次最多添加或删除S的三个元素来将一个子集转换为另一个子集,以使中间子集也具有相同的总和?

给定两点 {01个}ñ包含在由恒定数目的线性不等式指定的多面体P中的n超超立方体中是否存在一条连接这两点并包含在P中的路径?

这些问题可以解释为NP中标准问题的重新配置类似物。有趣的是,在我们的归约中,作为重新配置问题输入的实例集位于P中。特别地,可以将S的元素和定义P的不等式的系数限制为具有对数比特长度。
更新日期:2019-07-02
down
wechat
bug