{"product_id":"geometric-and-topological-inference-jean-daniel-boissonnat-9781108410892","title":"Geometric and Topological Inference","description":"Geometric and topological inference deals with the retrieval of information about a geometric object using only a finite set of possibly noisy sample points. It has connections to manifold learning and provides the mathematical and algorithmic foundations of the rapidly evolving field of topological data analysis. Building on a rigorous treatment of simplicial complexes and distance functions, this self-contained book covers key aspects of the field, from data representation and combinatorial questions to manifold reconstruction and persistent homology. It can serve as a textbook for graduate students or researchers in mathematics, computer science and engineering interested in a geometric approach to data science.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Jean-Daniel Boissonnat, Fr馘駻ic Chazal, Mariette Yvinec\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1108410898\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781108410892\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Cambridge University Press\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 09\/27\/2018\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 246\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.80lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 8.96h x 6.42w x 0.63d","brand":"Jean-Daniel Boissonnat","offers":[{"title":"Paperback","offer_id":44067082305791,"sku":"9781108410892","price":46.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_2d4bb13d-612d-44ef-ac9a-4ea33e2d540d.jpg?v=1685411085","url":"https:\/\/www.whiterainbookhouse.com\/products\/geometric-and-topological-inference-jean-daniel-boissonnat-9781108410892","provider":"WR Book House","version":"1.0","type":"link"}