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arXiv · 1507.05995

A Warm Restart Strategy for Solving Sudoku by Sparse Optimization Methods

Yuchao Tang·Zhenggang Wu·Chuanxi Zhu
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Abstract

This paper is concerned with the popular Sudoku problem. We proposed a warm restart strategy for solving Sudoku puzzles, based on the sparse optimization technique. Furthermore, we defined a new difficulty level for Sudoku puzzles. The efficiency of the proposed method is tested using a dataset of Sudoku puzzles, and the numerical results show that the accurate recovery rate can be enhanced from 84%+ to 99%+ using the L1 sparse optimization method.

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Yuchao Tang, Zhenggang Wu, Chuanxi Zhu. 2015-07-17. A Warm Restart Strategy for Solving Sudoku by Sparse Optimization Methods. https://arxiv.org/abs/1507.05995

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