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Spectral methods are well-suited to solve problems modeled by time-dependent partial differential equations: they are fast, efficient and accurate and widely used by mathematicians and practitioners. This class-tested 2007 introduction, the first on the subject, is ideal for graduate courses, or self-study. The authors describe the basic theory of spectral methods, allowing the reader to understand the techniques through numerous examples as well as more rigorous developments. They provide a detailed treatment of methods based on Fourier expansions and orthogonal polynomials (including discussions of stability, boundary conditions, filtering, and the extension from the linear to the nonlinear situation). Computational solution techniques for integration in time are dealt with by Runge-Kutta type methods. Several chapters are devoted to material not previously covered in book form, including stability theory for polynomial methods, techniques for problems with discontinuous solutions, round-off errors and the formulation of spectral methods on general grids. These will be especially helpful for practitioners.
519.63 --- 519.6 --- 517.95 --- Numerical methods for solution of partial differential equations --- Computational mathematics. Numerical analysis. Computer programming --- Partial differential equations --- Differential equations, Hyperbolic. --- Differential equations, Partial. --- Spectral theory (Mathematics) --- Spectral theory (Mathematics). --- 517.95 Partial differential equations --- 519.6 Computational mathematics. Numerical analysis. Computer programming --- 519.63 Numerical methods for solution of partial differential equations --- Differential equations, Hyperbolic --- Differential equations, Partial --- Functional analysis --- Hilbert space --- Measure theory --- Transformations (Mathematics) --- Hyperbolic differential equations
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This book introduces finite difference methods for both ordinary differential equations (ODEs) and partial differential equations (PDEs) and discusses the similarities and differences between algorithm design and stability analysis for different types of equations. A unified view of stability theory for ODEs and PDEs is presented, and the interplay between ODE and PDE analysis is stressed. The text emphasizes standard classical methods, but several newer approaches also are introduced and are described in the context of simple motivating examples. Exercises and student projects are available on the book's webpage, along with Matlab mfiles for implementing methods. Readers will gain an understanding of the essential ideas that underlie the development, analysis, and practical use of finite difference methods as well as the key concepts of stability theory, their relation to one another, and their practical implications. The author provides a foundation from which students can approach more advanced topics.
Finite differences --- Differential equations --- Différences finies --- Equations différentielles --- Finite differences. --- Differential equations. --- Basic Sciences. Mathematics --- Differential and Integral Equations --- 519.62 --- 519.63 --- 681.3*G18 --- 517.91 --- 517.95 --- Differences, Finite --- Finite difference method --- Numerical analysis --- 517.95 Partial differential equations --- Partial differential equations --- 517.91 Ordinary differential equations: general theory --- Ordinary differential equations: general theory --- 681.3 *G18 Partial differential equations: difference methods; elliptic equations; finite element methods; hyperbolic equations; method of lines; parabolic equations (Numerical analysis) --- Partial differential equations: difference methods; elliptic equations; finite element methods; hyperbolic equations; method of lines; parabolic equations (Numerical analysis) --- 519.63 Numerical methods for solution of partial differential equations --- Numerical methods for solution of partial differential equations --- 519.62 Numerical methods for solution of ordinary differential equations --- Numerical methods for solution of ordinary differential equations --- 517.91 Differential equations --- Differential and Integral Equations. --- Différences finies --- Equations différentielles --- 517.91. --- 681.3 *G18 --- Numerical solutions --- Différences finies. --- Équations différentielles.
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Differential equations, Partial --- Finite differences. --- Finite element method. --- Numerical analysis. --- Numerical solutions. --- Finite differences --- Finite element method --- Numerical analysis --- 517.95 --- 519.63 --- 681.3 *G18 --- Mathematical analysis --- FEA (Numerical analysis) --- FEM (Numerical analysis) --- Finite element analysis --- Isogeometric analysis --- Differences, Finite --- Finite difference method --- 681.3 *G18 Partial differential equations: difference methods; elliptic equations; finite element methods; hyperbolic equations; method of lines; parabolic equations (Numerical analysis) --- Partial differential equations: difference methods; elliptic equations; finite element methods; hyperbolic equations; method of lines; parabolic equations (Numerical analysis) --- 519.63 Numerical methods for solution of partial differential equations --- Numerical methods for solution of partial differential equations --- 517.95 Partial differential equations --- Partial differential equations --- Numerical solutions --- Equations aux derivees partielles --- Methodes numeriques
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