{"product_id":"algebraic-graph-algorithms-a-practical-guide-using-python-paperback","title":"Algebraic Graph Algorithms: A Practical Guide Using Python - Paperback","description":"\u003cp\u003eby \u003cb\u003eK. Erciyes\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis textbook discusses the design and implementation of basic algebraic graph algorithms, and algebraic graph algorithms for complex networks, employing matroids whenever possible. The text describes the design of a simple parallel matrix algorithm kernel that can be used for parallel processing of algebraic graph algorithms. Example code is presented in pseudocode, together with case studies in Python and MPI. The text assumes readers have a background in graph theory and\/or graph algorithms.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThere has been unprecedented growth in the study of graphs, which are discrete structures that have many real-world applications. The design and analysis of algebraic algorithms to solve graph problems have many advantages, such as implementing results from matrix algebra and using the already available matrix code for sequential and parallel processing.\u003c\/p\u003e\u003cp\u003eProviding Python programming language code for nearly all algorithms, this accessible textbook focuses on practical algebraic graph algorithms using results from matrix algebra rather than algebraic study of graphs. Given the vast theory behind the algebraic nature of graphs, the book strives for an accessible, middle-ground approach by reviewing main algebraic results that are useful in designing \u003ci\u003epractical \u003c\/i\u003egraph algorithms on the one hand, yet mostly using graph matrices to solve the graph problems. Python is selected for its simplicity, efficiency and rich library routines; and with the code herein, brevity is forsaken for clarity.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eTopics and features: \u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003e​\u003c\/b\u003eRepresents graphs by algebraic structures, enabling new, robust methods for algorithm analysis and design\u003c\/li\u003e\n\u003cli\u003eProvides matroid-based solutions to some graph problems, including greedy algorithm problems\u003c\/li\u003e\n\u003cli\u003eOffers Python code that can be tested and modified for various inputs\u003c\/li\u003e\n\u003cli\u003eSupplies practical hints, where possible, for parallel processing associated with algebraic algorithms\u003c\/li\u003e\n\u003cli\u003eLinks to a web page with supportive materials\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eThis clearly arranged textbook will be highly suitable for upper-level undergraduate students of computer science, electrical and electronic engineering, bioinformatics, and any researcher or person with background in discrete mathematics, basic graph theory and algorithms.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDr. Kayhan Erciyes\u003c\/b\u003e is a full Professor in the Department of Software Engineering at Maltepe University, Istanbul, Turkey. His other publications include the Springer titles \u003ci\u003eDiscrete Mathematics and Graph Theory\u003c\/i\u003e, \u003ci\u003eDistributed Real-Time Systems\u003c\/i\u003e, \u003ci\u003eGuide to Graph Algorithms\u003c\/i\u003e, \u003ci\u003eDistributed and Sequential Algorithms for Bioinformatics\u003c\/i\u003e, and \u003ci\u003eDistributed Graph Algorithms for Computer Networks\u003c\/i\u003e.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eDr. Kayhan Erciyes\u003c\/b\u003e is a full Professor in the Department of Software Engineering at Maltepe University, Istanbul, Turkey. His other publications include the Springer titles \u003ci\u003eDiscrete Mathematics and Graph Theory\u003c\/i\u003e, \u003ci\u003eDistributed Real-Time Systems\u003c\/i\u003e, \u003ci\u003eGuide to Graph Algorithms\u003c\/i\u003e, \u003ci\u003eDistributed and Sequential Algorithms for Bioinformatics\u003c\/i\u003e, and \u003ci\u003eDistributed Graph Algorithms for Computer Networks\u003c\/i\u003e.\u003cbr\u003e\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 221\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.5 x 9.21 x 6.14 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 18, 2021\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42707368181823,"sku":"9783030878856","price":87.46,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/2e0f0c08589cef8728e68b6a23038f20.webp?v=1765043845","url":"https:\/\/dhlswag.com\/products\/algebraic-graph-algorithms-a-practical-guide-using-python-paperback","provider":"BBB","version":"1.0","type":"link"}