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Peridynamic Differential Operator for Numerical Analysis (Hardcover, 1st ed. 2019) Loot Price: R2,659
Discovery Miles 26 590
Peridynamic Differential Operator for Numerical Analysis (Hardcover, 1st ed. 2019): Erdogan Madenci, Atila Barut, Mehmet...

Peridynamic Differential Operator for Numerical Analysis (Hardcover, 1st ed. 2019)

Erdogan Madenci, Atila Barut, Mehmet Dorduncu

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Loot Price R2,659 Discovery Miles 26 590 | Repayment Terms: R249 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Release date: March 2019
First published: 2019
Authors: Erdogan Madenci • Atila Barut • Mehmet Dorduncu
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 282
Edition: 1st ed. 2019
ISBN-13: 978-3-03-002646-2
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Differential equations
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Professional & Technical > Mechanical engineering & materials > Materials science > Testing of materials > General
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LSN: 3-03-002646-9
Barcode: 9783030026462

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