Computational Partial Differential Equations Using MATLAB®

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A01=Jichun Li
A01=Yi-Tung Chen
ADI Scheme
Amplification Factor
Author_Jichun Li
Author_Yi-Tung Chen
Backward Euler Implicit Scheme
BC Node
Biharmonic Problem
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Category=PBKS
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Category=UYA
Collocation Points
compact difference schemes
Element Free Galerkin Method
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Finite Difference Method
Finite element method
finite volume method
Forward Euler Scheme
hyperbolic equations
Indian ISBN
Initial Coarse Mesh
Kansa's Method
Kansa’s Method
Lax Wendroff Scheme
MATLAB
MATLAB Code
Meshless Local Petrov Galerkin Method
Meshless Methods
mixed finite elements
MLS Approximation
MLS Shape Function
Modified Helmholtz Equation
Numerical analysis
numerical analysis with MATLAB applications
Numerical methods
parabolic equations
Partial diffferential equations
radial basis functions
RBF Method
Relative Phase Error
Truncation Error
Unconditionally Stable
Uniform Grid Points

Product details

  • ISBN 9781032475196
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 21 Jan 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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In this popular text for an Numerical Analysis course, the authors introduce several major methods of solving various partial differential equations (PDEs) including elliptic, parabolic, and hyperbolic equations. It covers traditional techniques including the classic finite difference method, finite element method, and state-of-the-art numercial methods.The text uniquely emphasizes both theoretical numerical analysis and practical implementation of the algorithms in MATLAB. This new edition includes a new chapter, Finite Value Method, the presentation has been tightened, new exercises and applications are included, and the text refers now to the latest release of MATLAB.

Key Selling Points:



  • A successful textbook for an undergraduate text on numerical analysis or methods taught in mathematics and computer engineering.


  • This course is taught in every university throughout the world with an engineering department or school.


  • Competitive advantage broader numerical methods (including finite difference, finite element, meshless method, and finite volume method), provides the MATLAB source code for most popular PDEs with detailed explanation about the implementation and theoretical analysis. No other existing textbook in the market offers a good combination of theoretical depth and practical source codes.

Jichun Li ia a professor of mathematics at the University of Nevada, Las Vegas. He earned a Ph.D in Applied Mathematics from Florida State University and in addition to authoring several journal papers and three other books, he is a founding editor-in-chief of Results in Applied Mathematics. His major research areas are on numerical methods for partial differential equations.

Yi-Tung Chen is the co-director for the Center for Energy Research at the University of Nevada, Las Vegas. He has a Ph.D. from the University of Utah and is an aerial systems expert in computational fluid dynamics, fluid-structure interaction and aerodynamics.

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