Fundamentals of planar ordered sets
Discrete Mathematics
Algorithms for plane representations of acyclic digraphs
Theoretical Computer Science
Area requirement and symmetry display of planar upward drawings
Discrete & Computational Geometry
A note on optimal area algorithms for upward drawings of binary trees
Computational Geometry: Theory and Applications
A note on minimum-area upward drawing of complete and Fibonacci trees
Information Processing Letters
Optimal Upward Planarity Testing of Single-Source Digraphs
SIAM Journal on Computing
An experimental comparison of four graph drawing algorithms
Computational Geometry: Theory and Applications
Linear area upward drawings of AVL trees
Computational Geometry: Theory and Applications - Special issue on geometric representations of graphs
Area-efficient algorithms for straight-line tree drawings
Computational Geometry: Theory and Applications
Upward Planar Drawing of Single-Source AcyclicDigraphs
SIAM Journal on Computing
On the Computational Complexity of Upward and Rectilinear Planarity Testing
SIAM Journal on Computing
Upward Planarity Testing of Outerplanar Dags
GD '94 Proceedings of the DIMACS International Workshop on Graph Drawing
IEEE Transactions on Software Engineering
Upward spirality and upward planarity testing
GD'05 Proceedings of the 13th international conference on Graph Drawing
Maximum upward planar subgraph of a single-source embedded digraph
COCOON'10 Proceedings of the 16th annual international conference on Computing and combinatorics
Upward planarity testing of embedded mixed graphs
GD'11 Proceedings of the 19th international conference on Graph Drawing
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Let G be an embedded planar digraph. A maximum upward planar subgraph of G is an embedding preserving subgraph that is upward planar and, among those, has the maximum number of edges. This paper presents an extensive study on the problem of computing maximum upward planar subgraphs of embedded planar digraphs: Complexity results, algorithms, and experiments are presented. Namely: (i) we prove that the addressed problem is NP-Hard; (ii) a fast heuristic and an exponential-time exact algorithm are described; (iii) a wide experimental analysis is performed to show the effectiveness of our techniques.