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基本説明
Textbook. Presents new techniques, such as the high-order compact difference method and the radial basis function meshless method, as well as traditional techniques that include the classic finite difference method and the finite element method. Ideal for a one- or two-semester course.
Full Description
This textbook introduces several major numerical methods for solving various partial differential equations (PDEs) in science and engineering, including elliptic, parabolic, and hyperbolic equations. It covers traditional techniques that include the classic finite difference method and the finite element method as well as state-of-the-art numerical methods, such as the high-order compact difference method and the radial basis function meshless method. Helps Students Better Understand Numerical Methods through Use of MATLAB (R)The authors uniquely emphasize both theoretical numerical analysis and practical implementation of the algorithms in MATLAB, making the book useful for students in computational science and engineering. They provide students with simple, clear implementations instead of sophisticated usages of MATLAB functions.All the Material Needed for a Numerical Analysis CourseBased on the authors' own courses, the text only requires some knowledge of computer programming, advanced calculus, and difference equations. It includes practical examples, exercises, references, and problems, along with a solutions manual for qualifying instructors. Students can download MATLAB code from www.crcpress.com, enabling them to easily modify or improve the codes to solve their own problems.
Contents
Brief Overview of Partial Differential Equations The parabolic equations The wave equations The elliptic equations Differential equations in broader areasA quick review of numerical methods for PDEsFinite Difference Methods for Parabolic Equations Introduction Theoretical issues: stability, consistence, and convergence 1-D parabolic equations2-D and 3-D parabolic equationsNumerical examples with MATLAB codesFinite Difference Methods for Hyperbolic Equations IntroductionSome basic difference schemes Dissipation and dispersion errors Extensions to conservation lawsThe second-order hyperbolic PDEsNumerical examples with MATLAB codes Finite Difference Methods for Elliptic Equations Introduction Numerical solution of linear systems Error analysis with a maximum principle Some extensions Numerical examples with MATLAB codes High-Order Compact Difference Methods 1-D problemsHigh-dimensional problemsOther high-order compact schemesFinite Element Methods: Basic Theory Introduction to 1-D problems Introduction to 2-D problems Abstract finite element theoryExamples of conforming finite element spaces Examples of nonconforming finite elements Finite element interpolation theory Finite element analysis of elliptic problems Finite element analysis of time-dependent problems Finite Element Methods: Programming Finite element method mesh generation Forming finite element method equations Calculation of element matrices Assembly and implementation of boundary conditions The MATLAB code for P1 element The MATLAB code for the Q1 elementMixed Finite Element Methods An abstract formulation Mixed methods for elliptic problemsMixed methods for the Stokes problemAn example MATLAB code for the Stokes problem Mixed methods for viscous incompressible flowsFinite Element Methods for Electromagnetics Introduction to Maxwell's equations The time-domain finite element methodThe frequency-domain finite element methodMaxwell's equations in dispersive mediaMeshless Methods with Radial Basis Functions Introduction The radial basis functions The MFS-DRMKansa's methodNumerical examples with MATLAB codesCoupling RBF meshless methods with DDMOther Meshless Methods Construction of meshless shape functionsThe element-free Galerkin method The meshless local Petrov-Galerkin methodAnswers to Selected ProblemsIndexBibliographical remarks, Exercises, and References appear at the end of each chapter.
