Chebyshev & Fourier Spectral Methods: Lecture Notes in Engineering, cartea 49
Autor John P. Boyden Limba Engleză Paperback – 15 sep 1989
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Specificații
ISBN-13: 9783540514879
ISBN-10: 3540514872
Pagini: 820
Ilustrații: XVI, 798 p. 1 illus.
Dimensiuni: 170 x 242 x 43 mm
Greutate: 1.28 kg
Ediția:1989
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Engineering
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540514872
Pagini: 820
Ilustrații: XVI, 798 p. 1 illus.
Dimensiuni: 170 x 242 x 43 mm
Greutate: 1.28 kg
Ediția:1989
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Engineering
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
1. Introduction.- 2. Convergence Theory.- 3. Galerkin’s Method & Inner Products.- 4. Interpolation, Collocation & All That.- 5. Cardinal Functions.- 6. Pseudospectral Methods for Boundary Value Problems.- 7. Symmetry & Parity.- 8. Explicit Time-Integration Methods.- 9. Practical Matters.- 10. “Fractional Steps” Time Integration: Splitting and Its Cousins.- 11. Case Studies of Time Integration.- 12. Iterative Methods for Solving Matrix Equations.- 13. The Many Uses of Coordinate Transformation.- 14. Methods for Unbounded Intervals.- 15. Spherical Coordinates.- 16. Special Tricks.- 17. Analytical Applications and Symbolic Manipulation.- 18. The Tau-Method.- 19. Domain Decomposition Methods.- Appendix A. A Bestiary of Basis Functions.- 0. Trigonometric Basis Functions: Fourier Series.- 4. Gegenbauer Polynomials.- 5. Laguerre Functions.- 6. Hermite Functions.- Table A-1. Flow Chart on Choice of Basis Functions.- Fig. A-1. Regions of Convergence of Basis Sets in the Complex Plane.- Appendix B. Matrix Methods.- 1. Gaussian Elimination & LU Decomposition.- 2. Block-Banded Elimination: the “Lindzen-Kuo” Algorithm.- 3. Block and “Bordered” Matrices: the Fadeev-Fadeeva Factorization.- 4. Global Methods for Linear Eigenvalue Problems: The QR algorithm & the Pseudospectral Method.- Table B-1. Operation Counts for Banded Matrices.- Appendix C. The Newton-Kantorovich Method for Nonlinear Boundary and Eigenvalue Problems 1. Introduction.- 2. Examples.- 3. Eigenvalue Problems.- 4. Summary.- Appendix D. The Continuation Method.- 1. Introduction.- 2. Examples.- 3. Initialization Strategies.- 4. Limit Points.- 5. Bifurcation Points.- 6. Pseudoarclength Continuation.- Appendix E. Mapping Transformations.- Table E-1 [General Mapping].- Table E-2 [y = cos(x)].- Table E-3 [y =arccos(x)].- Table E-4 [y = L cot(x)].- Table E-8. [y = L arctanh(x)].- 2. Derivative Boundary Conditions.- Appendix F. Cardinal Functions.- 1. Introduction.- 2. General Fourier Series: Endpoint Grid.- 3. Fourier Cosine Series: Endpoint Grid.- 4. Fourier Sine Series: Endpoint Grid.- 5. Sinc(x): Whittaker Cardinal Functions.- 6. Chebyshev Polynomials: Extrema & Endpoints Grid.- 7. Chebyshev Polynomials: Interior Grid.- 8. Legendre Polynomials: Extrema & Endpoints Grid.- 9. Cosine Cardinal Functions on the Interior [Rectangle Rule or Roots] Grid.- 10. Sine Cardinal Functions on the Interior [Rectangle Rule or Roots] Grid.- Appendix G. Minimization of the Square of the Residual (Least Squares) for Solving Differential Equations via Nonlinear Degrees of Freedom.- 1. Introduction.- 2. Newton’s Method.- 3. Linear Least-Squares Fitting and the Neglect of the Second Derivative.- 4. Evaluating the Second Derivatives for the Hessian Matrix.- 5. Steepest Descent.- 6. Convexity, Positive Definiteness, and Conditions for a Minimum.- 7. Approximations that Depend Nonlinearly on the Free Parameters.- 8. Nonlinear Approximation to the KdV Soliton: A Worked Example.- Errata.