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Computing Teichmuller Maps and Applications of Conformal Geometry to Sensor Networks

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dc.contributor.advisor Mitchell, Joseph S.B. en_US
dc.contributor.advisor Gu, Xianfeng en_US
dc.contributor.author Goswami, Mayank en_US
dc.contributor.other Department of Applied Mathematics and Statistics en_US
dc.date.accessioned 2017-09-20T16:53:07Z
dc.date.available 2017-09-20T16:53:07Z
dc.date.issued 2015-08-01 en_US
dc.identifier.uri http://hdl.handle.net/11401/77632 en_US
dc.description 154 pgs en_US
dc.description.abstract By the Riemann-mapping theorem, one can always bijectively map an n-polygon P to another n-polygon Q conformally; in fact, any two simply connected domains can be conformally mapped to each other. However, this mapping need not necessarily map the vertices of P to the vertices of Q. In this case, one wants to find the best mapping between these polygons, i.e., one that minimizes the maximum angle distortion over all points in the base polygon, and maps the vertices of P to the vertices of Q. Such maps are called Teichmuller maps or extremal quasiconformal maps. In the first part of this work we present a variational approach in the continuous setting; we use the Hamilton-Krushkal, Reich-Strebel, necessary and sufficient condition for optimality to get an iterative method that successively improves the maximum distortion of the starting map. This procedure is proven to converge to the unique extremal quasiconformal or Teichm' {u}ller map. We then provide a numerical method for computing such maps by using this continuous construction and employing methods from convex optimization. Our method works not only for the polygon problem mentioned above, but also for the general extremal problem on punctured spheres. In the second part of this work we present some of the ways in which we use conformal geometry to help resolve some real-world problems encountered in the field of Wireless Sensor Networks (WSNs). We 1) use Mobius transformations to navigate through the path-space of a sensor network, 2) use harmonic measure to analyze the traffic pattern resulting from random routing, and 3) use the relation between Teichmuller theory and billiards to get dense curves in WSNs which are useful for many applications like serial data fusion, motion planning for data mules and node indexing. en_US
dc.description.sponsorship This work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree. en_US
dc.format Monograph en_US
dc.format.medium Electronic Resource en_US
dc.language.iso en_US en_US
dc.publisher The Graduate School, Stony Brook University: Stony Brook, NY. en_US
dc.subject.lcsh Applied mathematics en_US
dc.subject.other Algorithm, computer graphics, Conformal geometry, Quasiconformal, Sensor, Teichmuller en_US
dc.title Computing Teichmuller Maps and Applications of Conformal Geometry to Sensor Networks en_US
dc.type Dissertation en_US
dc.mimetype Application/PDF en_US
dc.contributor.committeemember Bender, Michael en_US
dc.contributor.committeemember Mitchell, Joseph en_US
dc.contributor.committeemember Gao, Jie en_US
dc.contributor.committeemember Jiao, Xiangmin en_US
dc.contributor.committeemember Gu, Xianfeng en_US

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