{"product_id":"computational-homology-9781441923547","title":"Computational Homology","description":"\u003cp\u003e • Author(s): Tomasz Kaczynski\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Applied\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eIn 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. \u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003eAs 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.\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003eMathematical 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.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45274568753303,"sku":"9781441923547","price":8732.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781441923547.webp?v=1769280316","url":"https:\/\/atlanticbooks.com\/products\/computational-homology-9781441923547","provider":"Atlantic Books","version":"1.0","type":"link"}