Irina Kostitsyna
Eindhoven University of Technology
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Irina Kostitsyna.
graph drawing | 2016
Nicolas Bonichon; Prosenjit Bose; Paz Carmi; Irina Kostitsyna; Anna Lubiw; Sander Verdonschot
A geometric graph is angle-monotone if every pair of vertices has a path between them that—after some rotation—is x- and y-monotone. Angle-monotone graphs are \(\sqrt{2}\)-spanners and they are increasing-chord graphs. Dehkordi, Frati, and Gudmundsson introduced angle-monotone graphs in 2014 and proved that Gabriel triangulations are angle-monotone graphs. We give a polynomial time algorithm to recognize angle-monotone geometric graphs. We prove that every point set has a plane geometric graph that is generalized angle-monotone—specifically, we prove that the half-\(\theta _6\)-graph is generalized angle-monotone. We give a local routing algorithm for Gabriel triangulations that finds a path from any vertex s to any vertex t whose length is within \(1 + \sqrt{2}\) times the Euclidean distance from s to t. Finally, we prove some lower bounds and limits on local routing algorithms on Gabriel triangulations.
10th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference | 2010
Girishkumar Sabhnani; Arash Yousefi; Irina Kostitsyna; Joseph S. B. Mitchell; Valentin Polishchuk; David Kierstead
We develop traffic abstraction algorithms that, given a set of 4D Trajectories (4DTs), extract the traffic structure in terms of standard flows and critical points (conflict and merge points). We demonstrate the application of our techniques to enable the NextGen generic airspace concept. We also analyze historical demand data to evaluate the level of abstraction underlying the en-route traffic within high-altitude sectors. Finally, we compare the structure of historical traffic to user preferred, wind optimal futuristic trajectories.
graph drawing | 2015
Irina Kostitsyna; Martin Nöllenburg; Valentin Polishchuk; André Schulz; Darren Strash
In a storyline visualization, we visualize a collection of interacting characters e.g., in a movie, play, etc. by x-monotone curves that converge for each interaction, and diverge otherwise. Given a storyline with n characters, we show tight lower and upper bounds on the number of crossings required in any storyline visualization for a restricted case. In particular, we show that if 1 each meeting consists of exactly two characters and 2 the meetings can be modeled as a tree, then we can always find a storyline visualization with
symposium on computational geometry | 2015
Irina Kostitsyna; Marc J. van Kreveld; Maarten Löffler; Bettina Speckmann; Frank Staals
fun with algorithms | 2012
Irina Kostitsyna; Valentin Polishchuk
On\log n
european symposium on algorithms | 2016
Erin W. Chambers; Irina Kostitsyna; Maarten Löffler; Frank Staals
Lecture Notes in Computer Science | 2016
Kyle Burke; Erik D. Demaine; Harrison Gregg; Robert A. Hearn; Adam Hesterberg; Michael Hoffmann; Hiro Ito; Irina Kostitsyna; Jody Leonard; Maarten Löffler; Aaron Santiago; Christiane Schmidt; Ryuhei Uehara; Yushi Uno; Aaron Williams
crossings. Furthermore, we show that there exist storylines in this restricted case that require
fun with algorithms | 2014
Irina Kostitsyna; Maarten Löffler; Valentin Polishchuk
fun with algorithms | 2012
Esther M. Arkin; Alon Efrat; George W. Hart; Irina Kostitsyna; Alexander Kröller; Joseph S. B. Mitchell; Valentin Polishchuk
\varOmega n\log n
international conference on dna computing | 2018
Robert Gmyr; Kristian Hinnenthal; Irina Kostitsyna; Fabian Kuhn; Dorian Rudolph; Christian Scheideler; Thim Strothmann