Computational Homology

In recent years, there has been a growing interest in applying homology to problems involving geometric data sets, whether obtained from physical measurements or generated through numerical simulations. This book presents a novel approach to homology that emphasizes the development of efficient algo...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Kaczynski, Tomasz (Συγγραφέας), Mischaikow, Konstantin (Συγγραφέας), Mrozek, Marian (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2004.
Σειρά:Applied Mathematical Sciences, 157
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03419nam a22006255i 4500
001 978-0-387-21597-6
003 DE-He213
005 20151204185843.0
007 cr nn 008mamaa
008 121227s2004 xxu| s |||| 0|eng d
020 |a 9780387215976  |9 978-0-387-21597-6 
024 7 |a 10.1007/b97315  |2 doi 
040 |d GrThAP 
050 4 |a QA611-614.97 
072 7 |a PBP  |2 bicssc 
072 7 |a MAT038000  |2 bisacsh 
082 0 4 |a 514  |2 23 
100 1 |a Kaczynski, Tomasz.  |e author. 
245 1 0 |a Computational Homology  |h [electronic resource] /  |c by Tomasz Kaczynski, Konstantin Mischaikow, Marian Mrozek. 
264 1 |a New York, NY :  |b Springer New York :  |b Imprint: Springer,  |c 2004. 
300 |a XVIII, 482 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Applied Mathematical Sciences,  |x 0066-5452 ;  |v 157 
505 0 |a Homology -- Preview -- Cubical Homology -- Computing Homology Groups -- Chain Maps and Reduction Algorithms -- Preview of Maps -- Homology of Maps -- Computing Homology of Maps -- Extensions -- Prospects in Digital Image Processing -- Homological Algebra -- Nonlinear Dynamics -- Homology of Topological Polyhedra -- Tools from Topology and Algebra -- Topology -- Algebra -- Syntax of Algorithms. 
520 |a In recent years, there has been a growing interest in applying homology to problems involving geometric data sets, whether obtained from physical measurements or generated through numerical simulations. This book presents a novel approach to homology that emphasizes the development of efficient algorithms for computation. As well as providing a highly accessible introduction to the mathematical theory, the authors describe a variety of potential applications of homology in fields such as digital image processing and nonlinear dynamics. The material is aimed at a broad audience of engineers, computer scientists, nonlinear scientists, and applied mathematicians. Mathematical prerequisites have been kept to a minimum and there are numerous examples and exercises throughout the text. The book is complemented by a website containing software programs and projects that help to further illustrate the material described within. 
650 0 |a Mathematics. 
650 0 |a Category theory (Mathematics). 
650 0 |a Homological algebra. 
650 0 |a Dynamics. 
650 0 |a Ergodic theory. 
650 0 |a Applied mathematics. 
650 0 |a Engineering mathematics. 
650 0 |a Computer mathematics. 
650 0 |a Topology. 
650 0 |a Algebraic topology. 
650 1 4 |a Mathematics. 
650 2 4 |a Topology. 
650 2 4 |a Applications of Mathematics. 
650 2 4 |a Category Theory, Homological Algebra. 
650 2 4 |a Dynamical Systems and Ergodic Theory. 
650 2 4 |a Computational Mathematics and Numerical Analysis. 
650 2 4 |a Algebraic Topology. 
700 1 |a Mischaikow, Konstantin.  |e author. 
700 1 |a Mrozek, Marian.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781441923547 
830 0 |a Applied Mathematical Sciences,  |x 0066-5452 ;  |v 157 
856 4 0 |u http://dx.doi.org/10.1007/b97315  |z Full Text via HEAL-Link 
912 |a ZDB-2-SMA 
912 |a ZDB-2-BAE 
950 |a Mathematics and Statistics (Springer-11649)