Simultaneous Embedding of Two Paths on the Grid
Stephen Kobourov, William Lenhart, Giuseppe Liotta, Daniel Perz, Pavel Valtr, Johannes Zink

TL;DR
This paper investigates the complexity of embedding two paths on a grid without crossings, proving NP-hardness for minimizing the longest edge and providing an efficient method for perimeter minimization under monotonicity constraints.
Contribution
It establishes NP-hardness for the longest edge minimization and offers a polynomial-time algorithm for perimeter minimization with monotone paths.
Findings
Minimizing the longest edge is NP-hard.
Perimeter can be minimized in O(n^{3/2}) time for monotone paths.
Embedding without crossings is computationally challenging.
Abstract
We study the problem of simultaneous geometric embedding of two paths without self-intersections on an integer grid. We show that minimizing the length of the longest edge of such an embedding is NP-hard. We also show that we can minimize in time the perimeter of an integer grid containing such an embedding if one path is -monotone and the other is -monotone.
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Taxonomy
TopicsComputational Geometry and Mesh Generation · Complexity and Algorithms in Graphs · VLSI and FPGA Design Techniques
