EUR 48,74
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Ajouter au panierGebunden. Etat : New.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 60,12
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. In.
EUR 54,82
Autre deviseQuantité disponible : 15 disponible(s)
Ajouter au panierEtat : New.
EUR 60,48
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This text on geometry is devoted to various central geometrical topics including: graphs of functions, transformations, (non-)Euclidean geometries, curves and surfaces as well as their applications in a variety of disciplines. This book presents elementary methods for analytical modeling and demonstrates the potential for symbolic computational tools to support the development of analytical solutions.The author systematically examines several powerful tools of MATLAB® including 2D and 3D animation of geometric images with shadows and colors, transformations using matrices, and then studies more complex geometrical modeling problems related to analysis of curves and surfaces. With over 150 stimulating exercises and problems, this text integrates traditional differential and non-Euclidean geometries with more current computer systems in a practical and user-friendly format.This text greatly extends the author's previous title, Geometry of Curves and Surfaces with Maple (Birkhäuser, 2000), and has a different focus. In addition to being applications driven and motivated by numerous examples and exercises from real-world fields, the book also contains over 60 percent new material, including new sections with complex numbers, quaternions, matrices and transformations, hyperbolic geometry, fractals, and surface-splines and over 300 figures reproducible using MATLAB® programs.This text is an excellent classroom resource or self-study reference for undergraduate students in a variety of disciplines, engineers, computer scientists, and instructors of appliedmathematics.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 60,10
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 53,63
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Edité par SPRINGER NATURE Jun 2010, 2010
ISBN 10 : 0387712771 ISBN 13 : 9780387712772
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 53,49
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierBuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This concise text on geometry with applications in a variety of disciplines is devoted to three main geometrical topics: curves, surfaces, and polyhedra. It presents elementary methods for analytical modeling and their visualization, as well as demonstrating the potential of symbolic computational tools to support the development of analytical solutions.The author systematically examines powerful tools including 2D and 3D animation of geometric images, transformations, shadows and colors, and then further studies more complex geometrical modeling problems related to analysis and differential equations. With over 150 stimulating exercises and problems, this text integrates traditional differential and non-Euclidean geometries with more current computer systems in a practical and user-friendly format. The book is also well-illustrated, with over 300 figures reproducible using Matlab programs.This text greatly extends the author's previous title, 'Geometry of Curves and Surfaces with Maple' (Birkhauser, 2000), and has a different focus. In addition to being applications-driven and motivated by numerous examples and exercises from real-world fields such as physics, engineering, biology, computer science, and IT, the book also contains more than 60 percent new material, including new sections with a geometric view of dynamical systems and PDEs, fractals, and surfaces-splines.This text is an excellent classroom resource or self-study reference for undergraduate students in a variety of disciplines, engineers, computer scientists, and instructors of applied mathematics. 453 pp. Englisch.