{"product_id":"geometric-algebra-computing-in-engineering-and-computer-science-9781849961073","title":"Geometric Algebra Computing: In Engineering and Computer Science","description":"\u003cp\u003e • Author(s): Eduardo Bayro-Corrochano\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Design, Graphics \u0026amp; Media - CAD-CAM\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eGeometric algebra provides a rich and general mathematical framework for the development of solutions, concepts and computer algorithms without losing geometric insight into the problem in question. Many current mathematical subjects can be treated in an unified manner without abandoning the mathematical system of geometric algebra, such as multilinear algebra, projective and affine geometry, calculus on manifolds, Riemann geometry, the representation of Lie algebras and Lie groups using bivector algebras, and conformal geometry.\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003cem\u003eGeometric Algebra Computing in Engineering and Computer Science\u003c\/em\u003e presents contributions from an international selection of experts in the field. This useful text\/reference offers new insights and solutions for the development of theorems, algorithms and advanced methods for real-time applications across a range of disciplines. The book also provides an introduction to advanced screw theory and conformal geometry. Written in an accessible style, the discussion of all applications is enhanced by the inclusion of numerous examples, figures and experimental analysis.\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eTopics and features: \u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cul\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eProvides a thorough discussion of several tasks for image processing, pattern recognition, computer vision, robotics and computer graphics using the geometric algebra framework\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eIntroduces nonspecialists to screw theory in the geometric algebra framework, offering a tutorial on conformal geometric algebra and an overview of recent applications of geometric algebra\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eExplores new developments in the domain of Clifford Fourier Transforms and Clifford Wavelet Transform, including novel applications of Clifford Fourier transforms for 3D visualization and colour image spectral analysis\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003ePresents a detailed study of fluid flow problems with quaternionic analysis\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eExamines new algorithms for geometric neural computing and cognitive systems\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eAnalyzes computer software packages for extensive calculations in geometric algebra, investigating the algorithmic complexity of key geometric operations and how the program code can be optimized for real-time computations\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003eThe book is an essential resource for computer scientists, applied physicists, AI researchers and mechanical and electrical engineers. It will also be of value to graduate students and researchers interested in a modern language for geometric computing.\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eProf. Dr. Eng. Eduardo Bayro-Corrochano\u003c\/strong\u003e is a Full Professor of Geometric Computing at Cinvestav, Mexico. He is the author of the Springer titles \u003cem\u003eGeometric Computing for Perception Action Systems\u003c\/em\u003e, \u003cem\u003eHandbook of Geometric Computing\u003c\/em\u003e, and \u003cem\u003eGeometric Computing for Wavelet Transforms, Robot Vision, Learning, Control and Action\u003c\/em\u003e.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eProf. Dr. Gerik Scheuermann\u003c\/strong\u003e is a Full Professor at the University of Leipzig, Germany. He is the author of the Springer title \u003cem\u003eTopology-Based Methods in Visualization II\u003c\/em\u003e.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Hardcover","offer_id":45274493485207,"sku":"9781849961073","price":13826.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781849961073.webp?v=1769280089","url":"https:\/\/atlanticbooks.com\/products\/geometric-algebra-computing-in-engineering-and-computer-science-9781849961073","provider":"Atlantic Books","version":"1.0","type":"link"}