Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Sarah Cannon is active.

Publication


Featured researches published by Sarah Cannon.


symposium on theoretical aspects of computer science | 2013

Two Hands Are Better Than One (up to constant factors): Self-Assembly In The 2HAM vs. aTAM

Sarah Cannon; Erik D. Demaine; Martin L. Demaine; Sarah Eisenstat; Matthew J. Patitz; Robert T. Schweller; Scott M. Summers; Andrew Winslow

We study the dierence between the standard seeded model (aTAM) of tile self-assembly, and the “seedless” two-handed model of tile self-assembly (2HAM). Most of our results suggest that the two-handed model is more powerful. In particular, we show how to simulate any seeded system with a two-handed system that is essentially just a constant factor larger. We exhibit finite shapes with a busy-beaver separation in the number of distinct tiles required by seeded versus two-handed, and exhibit an infinite shape that can be constructed two-handed but not seeded. Finally, we show that verifying whether a given system uniquely assembles a desired supertile is co-NP-complete in the two-handed model, while it was known to be polynomially solvable in the seeded model. 1998 ACM Subject Classification F.1.2


principles of distributed computing | 2016

A Markov Chain Algorithm for Compression in Self-Organizing Particle Systems

Sarah Cannon; Joshua J. Daymude; Dana Randall; Andréa W. Richa

We consider programmable matter as a collection of simple computational elements (or particles) with limited (constant-size) memory that self-organize to solve system-wide problems of movement, configuration, and coordination. Here, we focus on the compression problem, in which the particle system gathers as tightly together as possible, as in a sphere or its equivalent in the presence of some underlying geometry. More specifically, we seek fully distributed, local, and asynchronous algorithms that lead the system to converge to a configuration with small perimeter. We present a Markov chain based algorithm that solves the compression problem under the geometric amoebot model, for particle systems that begin in a connected configuration with no holes. The algorithm takes as input a bias parameter λ, where λ > 1 corresponds to particles favoring inducing more lattice triangles within the particle system. We show that for all λ > 5, there is a constant α > 1 such that at stationarity with all but exponentially small probability the particles are α-compressed, meaning the perimeter of the system configuration is at most α ⋅ pmin, where pmin is the minimum possible perimeter of the particle system. We additionally prove that the same algorithm can be used for expansion for small values of λ in particular, for all 0 < λ < √2, there is a constant β < 1 such that at stationarity, with all but an exponentially small probability, the perimeter will be at least β ⋅ pmax, where pmax is the maximum possible perimeter.


Computational Geometry: Theory and Applications | 2018

Combinatorics and complexity of guarding polygons with edge and point 2-transmitters

Sarah Cannon; Thomas G. Fai; Justin Iwerks; Undine Leopold; Christiane Schmidt

We consider a generalization of the classical Art Gallery Problem, where instead of a light source, the guards, called


fun with algorithms | 2012

Conflict-Free graph orientations with parity constraints

Sarah Cannon; Mashhood Ishaque; Csaba D. Tóth

k


Natural Computing | 2018

A stochastic approach to shortcut bridging in programmable matter

Marta Andrés Arroyo; Sarah Cannon; Joshua J. Daymude; Dana Randall; Andréa W. Richa

-transmitters, model a wireless device with a signal that can pass through at most


international workshop and international workshop on approximation, randomization, and combinatorial optimization. algorithms and techniques | 2016

Polynomial Mixing of the Edge-Flip Markov Chain for Unbiased Dyadic Tilings.

Sarah Cannon; David A. Levin; Alexandre Stauffer

k


Discrete Applied Mathematics | 2016

Diffuse reflection diameter in simple polygons

Gill Barequet; Sarah Cannon; Eli Fox-Epstein; Benjamin J. Hescott; Diane L. Souvaine; Csaba D. Tóth; Andrew Winslow

walls. We show it is NP-hard to compute a minimum cover of point 2-transmitters, point


arXiv: Computational Complexity | 2012

Two Hands Are Better Than One (up to constant factors)

Sarah Cannon; Erik D. Demaine; Martin L. Demaine; Sarah Eisenstat; Matthew J. Patitz; Robert T. Schweller; Scott M. Summers; Andrew Winslow

k


symposium on discrete algorithms | 2015

Phase transitions in random dyadic tilings and rectangular dissections

Sarah Cannon; Sarah Miracle; Dana Randall

-transmitters, and edge 2-transmitters in a simple polygon. The point 2-transmitter result extends to orthogonal polygons. In addition, we give necessity and sufficiency results for the number of edge 2-transmitters in general, monotone, orthogonal monotone, and orthogonal polygons.


canadian conference on computational geometry | 2012

Hidden Mobile Guards in Simple Polygons

Sarah Cannon; Diane L. Souvaine; Andrew Winslow

It is known that every multigraph with an even number of edges has an even orientation (i.e., all indegrees are even). We study parity constrained graph orientations under additional constraints. We consider two types of constraints for a multigraph G=(V,E): (1) an exact conflict constraint is an edge set C⊆E and a vertex v∈V such that C should not equal the set of incoming edges at v; (2) a subset conflict constraint is an edge set C⊆E and a vertex v∈V such that C should not be a subset of incoming edges at v. We show that it is NP-complete to decide whether G has an even orientation with exact or subset conflicts, for all conflict sets of size two or higher. We present efficient algorithms for computing parity constrained orientations with disjoint exact or subset conflict pairs.

Collaboration


Dive into the Sarah Cannon's collaboration.

Top Co-Authors

Avatar

Dana Randall

Georgia Institute of Technology

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Andrew Winslow

Université libre de Bruxelles

View shared research outputs
Top Co-Authors

Avatar

Cem Gokmen

Georgia Institute of Technology

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Erik D. Demaine

Massachusetts Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Martin L. Demaine

Massachusetts Institute of Technology

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Robert T. Schweller

University of Texas at Austin

View shared research outputs
Researchain Logo
Decentralizing Knowledge