Title
Reconstructing binary matrices under window constraints from their row and column sums.
Abstract
The present paper deals with the discrete inverse problem of reconstructing binary matrices from their row and column sums under additional constraints on the number and pattern of entries in specified minors. While the classical consistency and reconstruction problems for two directions in discrete tomography can be solved in polynomial time, it turns out that these window constraints cause various unexpected complexity jumps back and forth from polynomial-time solvability to NP-hardness.
Year
Venue
DocType
2017
Fundam. Inform.
Journal
Volume
Issue
Citations 
abs/1702.06121
4
1
PageRank 
References 
Authors
0.36
3
2
Name
Order
Citations
PageRank
Andreas Alpers1475.47
Peter Gritzmann241246.93