Proc. of the Aegean workshop on computing on VLSI algorithms and architectures
Journal of Computer and System Sciences - 18th Annual ACM Symposium on Theory of Computing (STOC), May 28-30, 1986
Crossing Minimization in Linear Embeddings of Graphs
IEEE Transactions on Computers
Algorithms for drawing graphs: an annotated bibliography
Computational Geometry: Theory and Applications
CNMGRAF—graphic presentation services for network management
SIGCOMM '85 Proceedings of the ninth symposium on Data communications
Forbidden subsequences and permutations sortable on two parallel stacks
Where mathematics, computer science, linguistics and biology meet
Succinct Representation of Balanced Parentheses and Static Trees
SIAM Journal on Computing
Algorithms for the fixed linear crossing number problem
Discrete Applied Mathematics
The 2-page crossing number of Kn
Proceedings of the twenty-eighth annual symposium on Computational geometry
Book drawings of complete bipartite graphs
Discrete Applied Mathematics
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Many real-life scheduling, routing and location problems can be formulated as combinatorial optimization problems whose goal is to find a linear layout of an input graph in such a way that the number of edge crossings is minimized. In this paper, we study a restricted version of the linear layout problem where the order of vertices on the line is fixed, the so-called fixed linear crossing number problem (FLCNP). We show that this $\mathcal{NP}$-hard problem can be reduced to the well-known maximum cut problem. The latter problem was intensively studied in the literature; efficient exact algorithms based on the branch-and-cut technique have been developed. By an experimental evaluation on a variety of graphs, we show that using this reduction for solving FLCNP compares favorably to earlier branch-and-bound algorithms.