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Discrete Calculus (Record no. 21455)

000 -LEADER
fixed length control field 04528nam a22004575i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310151116.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130727s2010 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781849962902
978-1-84996-290-2
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA1637-1638
Classification number TA1637-1638
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.6
Edition number 23
Classification number 006.37
Edition number 23
264 #1 -
-- London :
-- Springer London :
-- Imprint: Springer,
-- 2010.
912 ## -
-- ZDB-2-SCS
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Grady, Leo J.
Relator term author.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Discrete Calculus
Medium [electronic resource] :
Remainder of title Applied Analysis on Graphs for Computational Science /
Statement of responsibility, etc by Leo J. Grady, Jonathan R. Polimeni.
300 ## - PHYSICAL DESCRIPTION
Extent XVI, 366p.
Other physical details online resource.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Discrete Calculus: History and Future -- Discrete Calculus: History and Future -- A Brief Review of Discrete Calculus -- to Discrete Calculus -- Circuit Theory and Other Discrete Physical Models -- Applications of Discrete Calculus -- Building a Weighted Complex from Data -- Filtering on Graphs -- Clustering and Segmentation -- Manifold Learning and Ranking -- Measuring Networks.
520 ## - SUMMARY, ETC.
Summary, etc The field of discrete calculus, also known as "discrete exterior calculus", focuses on finding a proper set of definitions and differential operators that make it possible to operate the machinery of multivariate calculus on a finite, discrete space. In contrast to traditional goals of finding an accurate discretization of conventional multivariate calculus, discrete calculus establishes a separate, equivalent calculus that operates purely in the discrete space without any reference to an underlying continuous process. This unique text brings together into a single framework current research in the three areas of discrete calculus, complex networks, and algorithmic content extraction. Although there have been a few intersections in the literature between these disciplines, they have developed largely independently of one another, yet researchers working in any one of these three areas can strongly benefit from the tools and techniques being used in the others. Many example applications from several fields of computational science are provided to demonstrate the usefulness of this framework to a broad range of problems. Readers are assumed to be familiar with the basics of vector calculus, graph theory, and linear algebra. Topics and features: Presents a thorough review of discrete calculus, with a focus on key concepts required for successful application Unifies many standard image processing algorithms into a common framework for viewing a wide variety of standard algorithms in filtering, clustering, and manifold learning that may be applied to processing data associated with a graph or network Explains how discrete calculus provides a natural definition of "low-frequency" on a graph, which then yields filtering and denoising algorithms Discusses how filtering algorithms can give rise to clustering algorithms, which can be used to develop manifold learning and data discovery methods Examines ranking algorithms, as well as algorithms for analyzing the structure of a network Graduate students and researchers interested in discrete calculus, complex networks, image processing and computer graphics will find this text/reference a clear introduction to the foundations of discrete calculus as well as a useful guide to have readily available for their work. Dr. Leo J. Grady is a Senior Research Scientist with Siemens Corporate Research in Princeton, New Jersey, USA. Dr. Jonathan R. Polimeni is a Research Fellow at the Massachusetts General Hospital in Boston, Massachusetts, USA, and Instructor in Radiology at Harvard Medical School, Boston, Massachusetts, USA.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
Topical term or geographic name as entry element Computer vision.
Topical term or geographic name as entry element Computer science
General subdivision Mathematics.
Topical term or geographic name as entry element Computer Science.
Topical term or geographic name as entry element Image Processing and Computer Vision.
Topical term or geographic name as entry element Computational Mathematics and Numerical Analysis.
Topical term or geographic name as entry element Theoretical, Mathematical and Computational Physics.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Polimeni, Jonathan R.
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781849962896
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-84996-290-2
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-10AUM Main Library2014-04-10 2014-04-10 E-Book   AUM Main Library006.6

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