Abstract
Block Sorting is an NP-hard combinatorial optimization problem motivated by applications in Computational Biology and Optical Character Recognition (OCR). It has been approximated in P time within a factor of 2 using two different techniques and the complexity of better approximations has been open for close to a decade now. In this work we prove that Block Sorting does not admit a PTAS unless P = NP i.e. it is APX-Hard. The hardness result is based on new properties, that we identify, of the existing NP-hardness reduction from E3-SAT to Block Sorting. In an attempt to obtain an improved approximation for Block Sorting, we consider a generalization of the well-studied Block Merging, called \(k\)-Block Merging which is defined for each \(k \ge 1\), and the \(1\)- Block Merging problem is the same as the Block Merging problem. We show that the optimum \(k\)-Block Merging is an \(1+ \frac{1}{k}\)-approximation to the optimum block sorting. We then show that for each \(k \ge 2\), we prove \(k\)-Block Merging to be NP-Hard, thus proving a dichotomy result associated with block sorting.
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Narayanaswamy, N.S., Roy, S. (2015). Block Sorting Is APX-Hard. In: Paschos, V., Widmayer, P. (eds) Algorithms and Complexity. CIAC 2015. Lecture Notes in Computer Science(), vol 9079. Springer, Cham. https://doi.org/10.1007/978-3-319-18173-8_28
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DOI: https://doi.org/10.1007/978-3-319-18173-8_28
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