Advanced Differential Quadrature Methods

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A01=Yingyan Zhang
A01=Zhi Zong
advanced numerical methods
applied mathematics
Author_Yingyan Zhang
Author_Zhi Zong
Category=PBKJ
chebyshev
Chebyshev Nodes
coefficients
computational mechanics
Conformal Mapping
Cortical Nodes
Cpu Time
differential quadature methods
DQ
DQ Method
elimination
Elliptic Plates
Enddo Enddo
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
equation
Fourth Order Finite Difference Methods
gauss
Gauss elimination
governing
Grid Points
High Order Numerical Scheme
Holomorphic Functions
Lagrange Interpolation
material discontinuity
nodes
nonlinear elasticity modeling
numerical
numerical analysis
Ordinary Differential Equations
partial differential equations
Pasternak Foundation
Plane Elastic Problems
Poroelastic Medium
QR Algorithm
QR Decomposition
results
Return End
Runge-Kutta method
scientific computing
SOR Method
successive over-relaxation
Trailing Edge
Triangular Domain
weighting
Weighting Coefficients
Yingyan Zhang

Product details

  • ISBN 9781420082487
  • Weight: 648g
  • Dimensions: 156 x 234mm
  • Publication Date: 20 Jan 2009
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Modern Tools to Perform Numerical Differentiation
The original direct differential quadrature (DQ) method has been known to fail for problems with strong nonlinearity and material discontinuity as well as for problems involving singularity, irregularity, and multiple scales. But now researchers in applied mathematics, computational mechanics, and engineering have developed a range of innovative DQ-based methods to overcome these shortcomings. Advanced Differential Quadrature Methods explores new DQ methods and uses these methods to solve problems beyond the capabilities of the direct DQ method.

After a basic introduction to the direct DQ method, the book presents a number of DQ methods, including complex DQ, triangular DQ, multi-scale DQ, variable order DQ, multi-domain DQ, and localized DQ. It also provides a mathematical compendium that summarizes Gauss elimination, the Runge–Kutta method, complex analysis, and more. The final chapter contains three codes written in the FORTRAN language, enabling readers to quickly acquire hands-on experience with DQ methods.

Focusing on leading-edge DQ methods, this book helps readers understand the majority of journal papers on the subject. In addition to gaining insight into the dynamic changes that have recently occurred in the field, readers will quickly master the use of DQ methods to solve complex problems.

Dalian University of Technology, Dalian, China National University of Singapore, Singapore Texas A&M University, College Station, USA University of Surrey, UK

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