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 algo
Computational Homology
โ Scribed by Tomasz Kaczynski, Konstantin Mischaikow, Marian Mrozek
- Book ID
- 127448622
- Publisher
- Springer
- Year
- 2010
- Tongue
- English
- Weight
- 3 MB
- Series
- Applied Mathematical Sciences
- Edition
- 1st Edition.
- Category
- Library
- ISBN
- 1441923543
No coin nor oath required. For personal study only.
โฆ Synopsis
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. Following this is a section containing extensions to further developments in algebraic topology, applications to computational dynamics, and applications to image processing. Included are exercises and software that can be used to compute homology groups and maps. The book will appeal to researchers and graduate students in mathematics, computer science, engineering, and nonlinear dynamics.
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