In recent years, the area of topological data analysis (TDA) has emerged as a viable tool for an- alyzing data in applied areas of science and engineering.

Contents · 1 - Basics. pp 1-25 · 2 - Complexes and Homology Groups. pp 26-59 · 3 - Topological Persistence. pp 60-111 · 4 - General Persistence. pp 112-147 · 5 ...

Оценка 3,5 (6) · 64,99 $ This book provides a computational and algorithmic foundation for techniques in topological data analysis, with examples and exercises. About the Author. Tamal ...

This comprehensive, self-contained text introduces students and researchers in mathematics and computer science to the current state of the field.

Computational Topology for Data Analysis: Notes from book by T.K. Dey and Y. Wang. 1. Topic 8: Optimal generators. So far we have focused mainly on the rank of ...

64,99 $ The book features a description of mathematical objects and constructs behind recent advances, the algorithms involved, computational considerations, as well as ...

We are including exercises for each chapter to facilitate teaching and learning. There are currently a few books on computational topology/topological data.

TDA is a field of data analysis that uses concepts and methods from algebraic topology to study the shape and inner structure of data [27] . This approach is ...

Topological methods provide powerful tools for characterizing structures/features behind data and analyzing diverse complex data (images, graphs, point sets, ...

It provides a comprehensive introduction to topological data analysis (TDA) and the current state of the field. Key topics covered include persistent homology, ...