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Advances in Applied and Computational Topology: AMS Short Course Computational Topology January 4-5 2011 New Orleans Louisiana

Zomorodian Afra (ed)

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ISBN 10: 0821853279 / ISBN 13: 9780821853276
Published by American Mathematical Society, Providence, RI, 2011
Used Condition: Near Fine Hardcover
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232 pp. 8vo (large). Cloth. Bumping to sp. foot and lower corners, lightly to sp. head and upper corners. American Mathematical Society sticker to fpd. Proceedings of Symposia in Applied Mathematics Volume 70. Bookseller Inventory # 144094

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Bibliographic Details

Title: Advances in Applied and Computational ...

Publisher: American Mathematical Society, Providence, RI

Publication Date: 2011

Binding: Cloth

Book Condition:Near Fine

About this title

Synopsis:

What is the shape of data? How do we describe flows? Can we count by integrating? How do we plan with uncertainty? What is the most compact representation? These questions, while unrelated, become similar when recast into a computational setting. Our input is a set of finite, discrete, noisy samples that describes an abstract space. Our goal is to compute qualitative features of the unknown space. It turns out that topology is sufficiently tolerant to provide us with robust tools. This volume is based on lectures delivered at the 2011 AMS Short Course on Computational Topology, held January 4-5, 2011 in New Orleans, Louisiana. The aim of the volume is to provide a broad introduction to recent techniques from applied and computational topology. Afra Zomorodian focuses on topological data analysis via efficient construction of combinatorial structures and recent theories of persistence. Marian Mrozek analyzes asymptotic behavior of dynamical systems via efficient computation of cubical homology. Justin Curry, Robert Ghrist, and Michael Robinson present Euler Calculus, an integral calculus based on the Euler characteristic, and apply it to sensor and network data aggregation. Michael Erdmann explores the relationship of topology, planning, and probability with the strategy complex. Jeff Erickson surveys algorithms and hardness results for topological optimization problems.

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