Peridynamic Differential Operator for Numerical Analysis (Record no. 75607)

000 -LEADER
fixed length control field 03864nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-3-030-02647-9
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801213810.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190117s2019 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783030026479
-- 978-3-030-02647-9
082 04 - CLASSIFICATION NUMBER
Call Number 620.105
100 1# - AUTHOR NAME
Author Madenci, Erdogan.
245 10 - TITLE STATEMENT
Title Peridynamic Differential Operator for Numerical Analysis
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2019.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XI, 282 p. 163 illus., 137 illus. in color.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 1 Introduction -- 2 Peridynamic Differential Operator -- 3 Numerical Implementation -- 4 Interpolation, Regression and Smoothing -- 5 Ordinary Differential Equations -- 6 Partial Differential Equations -- 7 Coupled Field Equations -- 8 Integro-Differential Equations -- 9 Weak Form of Peridynamics -- 10 Peridynamic Least Squares Minimization. .
520 ## - SUMMARY, ETC.
Summary, etc This book introduces the peridynamic (PD) differential operator, which enables the nonlocal form of local differentiation. PD is a bridge between differentiation and integration. It provides the computational solution of complex field equations and evaluation of derivatives of smooth or scattered data in the presence of discontinuities. PD also serves as a natural filter to smooth noisy data and to recover missing data. This book starts with an overview of the PD concept, the derivation of the PD differential operator, its numerical implementation for the spatial and temporal derivatives, and the description of sources of error. The applications concern interpolation, regression, and smoothing of data, solutions to nonlinear ordinary differential equations, single- and multi-field partial differential equations and integro-differential equations. It describes the derivation of the weak form of PD Poisson’s and Navier’s equations for direct imposition of essential and natural boundary conditions. It also presents an alternative approach for the PD differential operator based on the least squares minimization. Peridynamic Differential Operator for Numerical Analysis is suitable for both advanced-level student and researchers, demonstrating how to construct solutions to all of the applications. Provided as supplementary material, solution algorithms for a set of selected applications are available for more details in the numerical implementation.
700 1# - AUTHOR 2
Author 2 Barut, Atila.
700 1# - AUTHOR 2
Author 2 Dorduncu, Mehmet.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-030-02647-9
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2019.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mechanics, Applied.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Solids.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Materials—Analysis.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematics—Data processing.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Solid Mechanics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Characterization and Analytical Technique.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Science and Engineering.
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-- ZDB-2-ENG
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-- ZDB-2-SXE

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