Homology is a powerful tool used by mathematicians to study the properties of spaces and maps that are insensitive to small perturbations. This book uses a computer to develop a combinatorial computational approach to the subject. The core of the book deals with homology theory and its computation.
Computational Homology
โ Scribed by Tomasz Kaczynski, Konstantin Mischaikow, Marian Mrozek (auth.)
- Book ID
- 127418913
- Publisher
- Springer
- Year
- 2004
- Tongue
- English
- Weight
- 4 MB
- Edition
- 1
- Category
- Library
- City
- New York
- ISBN
- 0387215972
- DOI
- 10.1007/b97315
No coin nor oath required. For personal study only.
โฆ Synopsis
In recent years, there has been a growing interest in applying homology to problems involving geometric data sets, whether obtained from physical measurements or generated through numerical simulations. This book presents a novel approach to homology that emphasizes the development of efficient algorithms for computation.
As well as providing a highly accessible introduction to the mathematical theory, the authors describe a variety of potential applications of homology in fields such as digital image processing and nonlinear dynamics. The material is aimed at a broad audience of engineers, computer scientists, nonlinear scientists, and applied mathematicians.
Mathematical prerequisites have been kept to a minimum and there are numerous examples and exercises throughout the text. The book is complemented by a website containing software programs and projects that help to further illustrate the material described within.
โฆ Subjects
Algebraic Topology
๐ SIMILAR VOLUMES
## Abstract Identifying genomic homology within and between genomes is essential when studying genome evolution. In the past years, different computational techniques have been developed to detect homology even when the actual similarity between homologous segments is low. Depending on the strategy