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020 _a9780521792110
040 _aICTS-TIFR
050 _aQC20.7.S64
100 _aJan S. Hesthaven
245 _aSpectral methods for time-dependent problems
260 _bCambridge University Press,
_aNew York:
_c[c2007]
300 _a273 p.
490 _aCambridge Monographs on Applied and Computational Mathematics
_v21
505 _a1 - From local to global approximation 2 - Trigonometric polynomial approximation 3 - Fourier spectral methods 4 - Orthogonal polynomials 5 - Polynomial expansions 6 - Polynomial approximation theory for smooth functions 7 - Polynomial spectral methods 8 - Stability of polynomial spectral methods 9 - Spectral methods for nonsmooth problems 10 - Discrete stability and time integration 11 - Computational aspects 12 - Spectral methods on general grids
520 _aSpectral 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. --- summary provided by publisher
700 _aSigal Gottlieb
700 _aDavid Gottlieb
942 _2lcc
_cBK
999 _c35125
_d35125