{"product_id":"guide-to-graph-algorithms-von-kayhan-erciyes","title":"Guide to Graph Algorithms","description":"\n                                \n                \u003cp\u003eThis clearly structured textbook\/reference presents a detailed and comprehensive review of the fundamental principles of sequential graph algorithms, approaches for NP-hard graph problems, approximation algorithms and heuristics for such problems and  implementation of advanced graph structures in machine learning. The work also provides a comparative analysis of sequential, parallel and distributed graph algorithms – including algorithms for big data – and an investigation into the conversion principles between the three algorithmic methods.\u003c\/p\u003e\n                                \n                \n                \u003cp\u003e\n                                        \n                    \u003cstrong\u003eTopics and features:\u003c\/strong\u003e\n                                    \n                \u003c\/p\u003e\n                                \n                \n                \u003cul\u003e\n                                        \n                    \n                    \u003cli\u003ePresents a comprehensive analysis of sequential graph algorithms\u003c\/li\u003e\n                                        \n                    \n                    \u003cli\u003eOffers a unifying view by examining the same graph problem from each of the three paradigms of sequential, parallel and distributed algorithms\u003c\/li\u003e\n                                        \n                    \n                    \u003cli\u003eDescribes methods for the conversion between sequential, parallel and distributed graph algorithms\u003c\/li\u003e\n                                        \n                    \n                    \u003cli\u003eSurveys methods for the analysis of large graphs and complex network applications\u003c\/li\u003e\n                                        \n                    \n                    \u003cli\u003eIncludes full implementation details for the problems presented throughout the text\u003c\/li\u003e\n                                        \n                    \n                    \u003cli\u003eSurveys advanced graph structures used in artificial intelligence with code examples\u003c\/li\u003e\n                                        \n                    \n                    \u003cli\u003eReviews graph machine-intelligence methods  \u003c\/li\u003e\n                                        \n                \n                \u003c\/ul\u003e\n                                \n                \n                \u003cp\u003eThis practical guide to the design and analysis of graph algorithms is ideal for advanced and graduate students of computer science, electrical and electronic engineering, and bioinformatics. The material covered will also be of value to any researcher familiar with the basics of discrete mathematics, graph theory and algorithms and machine learning.\u003c\/p\u003e\n                                \n                \n                \u003cp\u003e\n                                        \n                    \u003cstrong\u003eDr. K. Erciyes\u003c\/strong\u003e\n                                         is professor of computer engineering at Yaşar University, Turkey. His other publications include the Springer titles \n                    \n                    \u003cem\u003eDistributed Graph Algorithms for Computer Networks, Distributed and Sequential Algorithms for Bioinformatics, \u003c\/em\u003e\n                                        and \n                    \n                    \u003cem\u003eGuide to Distributed Algorithms.\u003c\/em\u003e\n                                    \n                \u003c\/p\u003e\n                            \n            \u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783032052933\"\u003e\u003ch3\u003eSequential, Parallel and Distributed\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Hardcover - 9783032052933","offer_id":55333403558213,"sku":"9783032052933","price":80.24,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/13ad274b-7765-46ff-a082-2c098b994ea2.jpg?v=1780546972","url":"https:\/\/shop.autorenwelt.de\/en\/products\/guide-to-graph-algorithms-von-kayhan-erciyes","provider":"Autorenwelt Shop","version":"1.0","type":"link"}