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Viser: A First Course in the Numerical Analysis of Differential Equations
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A First Course in the Numerical Analysis of Differential Equations Vital Source e-bog
Arieh Iserles
(2008)
Cambridge University Press
699,00 kr.
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Søgbar e-bog
A First Course in the Numerical Analysis of Differential Equations Vital Source e-bog
Arieh Iserles
(2008)
Cambridge University Press
674,00 kr.
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A First Course in the Numerical Analysis of Differential Equations Vital Source e-bog
Arieh Iserles
(2008)
Cambridge University Press
562,00 kr.
Leveres umiddelbart efter køb
A First Course in the Numerical Analysis of Differential Equations Vital Source e-bog
Arieh Iserles
(2008)
Cambridge University Press
540,00 kr.
Leveres umiddelbart efter køb
A First Course in the Numerical Analysis of Differential Equations
Arieh Iserles og A. Iserles
(2008)
Sprog: Engelsk
Cambridge University Press
715,00 kr.
Print on demand. Leveringstid vil være ca 2-3 uger.
Detaljer om varen
- 2. Udgave
- Vital Source searchable e-book (Reflowable pages)
- Udgiver: Cambridge University Press (November 2008)
- ISBN: 9781139636568
Numerical analysis presents different faces to the world. For mathematicians it is a bona fide mathematical theory with an applicable flavour. For scientists and engineers it is a practical, applied subject, part of the standard repertoire of modelling techniques. For computer scientists it is a theory on the interplay of computer architecture and algorithms for real-number calculations. The tension between these standpoints is the driving force of this book, which presents a rigorous account of the fundamentals of numerical analysis of both ordinary and partial differential equations. The exposition maintains a balance between theoretical, algorithmic and applied aspects. This second edition has been extensively updated, and includes new chapters on emerging subject areas: geometric numerical integration, spectral methods and conjugate gradients. Other topics covered include multistep and Runge-Kutta methods; finite difference and finite elements techniques for the Poisson equation; and a variety of algorithms to solve large, sparse algebraic systems.
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Detaljer om varen
- 2. Udgave
- Vital Source searchable e-book (Fixed pages)
- Udgiver: Cambridge University Press (November 2008)
- ISBN: 9780511500619
Numerical analysis presents different faces to the world. For mathematicians it is a bona fide mathematical theory with an applicable flavour. For scientists and engineers it is a practical, applied subject, part of the standard repertoire of modelling techniques. For computer scientists it is a theory on the interplay of computer architecture and algorithms for real-number calculations. The tension between these standpoints is the driving force of this book, which presents a rigorous account of the fundamentals of numerical analysis of both ordinary and partial differential equations. The exposition maintains a balance between theoretical, algorithmic and applied aspects. This second edition has been extensively updated, and includes new chapters on emerging subject areas: geometric numerical integration, spectral methods and conjugate gradients. Other topics covered include multistep and Runge-Kutta methods; finite difference and finite elements techniques for the Poisson equation; and a variety of algorithms to solve large, sparse algebraic systems.
Licens varighed:
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
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Detaljer om varen
- 2. Udgave
- Vital Source 180 day rentals (dynamic pages)
- Udgiver: Cambridge University Press (November 2008)
- ISBN: 9781139636568R180
Numerical analysis presents different faces to the world. For mathematicians it is a bona fide mathematical theory with an applicable flavour. For scientists and engineers it is a practical, applied subject, part of the standard repertoire of modelling techniques. For computer scientists it is a theory on the interplay of computer architecture and algorithms for real-number calculations. The tension between these standpoints is the driving force of this book, which presents a rigorous account of the fundamentals of numerical analysis of both ordinary and partial differential equations. The exposition maintains a balance between theoretical, algorithmic and applied aspects. This second edition has been extensively updated, and includes new chapters on emerging subject areas: geometric numerical integration, spectral methods and conjugate gradients. Other topics covered include multistep and Runge-Kutta methods; finite difference and finite elements techniques for the Poisson equation; and a variety of algorithms to solve large, sparse algebraic systems.
Licens varighed:
Bookshelf online: 180 dage fra købsdato.
Bookshelf appen: 180 dage fra købsdato.
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Print: 5 sider kan printes ad gangen
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Bookshelf online: 180 dage fra købsdato.
Bookshelf appen: 180 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 5 sider kan printes ad gangen
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Detaljer om varen
- 2. Udgave
- Vital Source leje e-bog 180 dage
- Udgiver: Cambridge University Press (November 2008)
- ISBN: 9780511500619R180
Numerical analysis presents different faces to the world. For mathematicians it is a bona fide mathematical theory with an applicable flavour. For scientists and engineers it is a practical, applied subject, part of the standard repertoire of modelling techniques. For computer scientists it is a theory on the interplay of computer architecture and algorithms for real-number calculations. The tension between these standpoints is the driving force of this book, which presents a rigorous account of the fundamentals of numerical analysis of both ordinary and partial differential equations. The exposition maintains a balance between theoretical, algorithmic and applied aspects. This second edition has been extensively updated, and includes new chapters on emerging subject areas: geometric numerical integration, spectral methods and conjugate gradients. Other topics covered include multistep and Runge-Kutta methods; finite difference and finite elements techniques for the Poisson equation; and a variety of algorithms to solve large, sparse algebraic systems.
Licens varighed:
Bookshelf online: 180 dage fra købsdato.
Bookshelf appen: 180 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: -1 sider kan printes ad gangen
Copy: højest -1 sider i alt kan kopieres (copy/paste)
Bookshelf online: 180 dage fra købsdato.
Bookshelf appen: 180 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: -1 sider kan printes ad gangen
Copy: højest -1 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- 2. Udgave
- Paperback: 480 sider
- Udgiver: Cambridge University Press (November 2008)
- Forfattere: Arieh Iserles og A. Iserles
- ISBN: 9780521734905
Numerical analysis presents different faces to the world. For mathematicians it is a bona fide mathematical theory with an applicable flavour. For scientists and engineers it is a practical, applied subject, part of the standard repertoire of modelling techniques. For computer scientists it is a theory on the interplay of computer architecture and algorithms for real-number calculations. The tension between these standpoints is the driving force of this book, which presents a rigorous account of the fundamentals of numerical analysis of both ordinary and partial differential equations. The exposition maintains a balance between theoretical, algorithmic and applied aspects. This second edition has been extensively updated, and includes new chapters on emerging subject areas: geometric numerical integration, spectral methods and conjugate gradients. Other topics covered include multistep and Runge-Kutta methods; finite difference and finite elements techniques for the Poisson equation; and a variety of algorithms to solve large, sparse algebraic systems.
Preface to the first edition; Preface to the second edition; Flowchart of contents;
Part I. Ordinary Differential Equations:
1. Euler's method and beyond;
2. Multistep methods;
3. Runge-Kutta methods;
4. Stiff equations;
5. Geometric numerical integration;
6. Error control;
7. Nonlinear algebraic systems;
Part II. The Poisson Equation:
8. Finite difference schemes;
9. The finite element method;
10. Spectral methods;
11. Gaussian elimination for sparse linear equations;
12. Classical iterative methods for sparse linear equations;
13. Multigrid techniques;
14. Conjugate gradients;
15. Fast Poisson solvers;
Part III. Partial Differential Equations of evolution:
16. The diffusion equation;
17. Hyperbolic equations; Appendix. Bluffer's guide to useful mathematics: A.1. Linear algebra; A.2. Analysis; Bibliography; Index.
Part I. Ordinary Differential Equations:
1. Euler's method and beyond;
2. Multistep methods;
3. Runge-Kutta methods;
4. Stiff equations;
5. Geometric numerical integration;
6. Error control;
7. Nonlinear algebraic systems;
Part II. The Poisson Equation:
8. Finite difference schemes;
9. The finite element method;
10. Spectral methods;
11. Gaussian elimination for sparse linear equations;
12. Classical iterative methods for sparse linear equations;
13. Multigrid techniques;
14. Conjugate gradients;
15. Fast Poisson solvers;
Part III. Partial Differential Equations of evolution:
16. The diffusion equation;
17. Hyperbolic equations; Appendix. Bluffer's guide to useful mathematics: A.1. Linear algebra; A.2. Analysis; Bibliography; Index.
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