Titre :	Numerical methods for scientists and engineers
Type de document :	texte imprimé
Auteurs :	Richard Wesley Hamming, Auteur
Editeur :	New York : McGraw-Hill
Année de publication :	1962
Collection :	International series in pure and applied mathematics
Importance :	XVII, 411 p.
Présentation :	ill.
Format :	21 cm
Note générale :	International student edition. - Bibliogr. p. 403-404. - Index
Langues :	Anglais (eng)
Mots-clés :	Numerical analysis -- Data processing Electronic digital computers Analyse numérique Approximation, Théorie de l' Algorithmes
Index. décimale :	519.6 Mathématique numérique. Analyse numérique. Programmation. (informatique). Science des ordinateurs.
Note de contenu :	Summary : I. The discrete finite difference calculus 1. The difference calculus 2. Roundoff noise 3. The summation calculus 4. Evaluation of infinite series 5. Finite difference equations 6. The finite Fourier series II. Polynomial approximation: classical numerical analysis 7. Introduction to polynomial approximations 8. Polynomial interpolation: arbitrarily spaced data 9. Polynomial interpolation: equally spaced data 10. A uniform method for finding formulas 11. On finding the error term of a formula 12. Formulas for definite integrals 13. Indefinite integrals 14. Introduction to differential equations 15. A general theory of predictor-corrector methods 16. Special methods of integrating ordinary differential equations 17. Least squares: theory 18. Least squares: practice 19. Chebyshev polynomials 20. Rational functions III. Nonpolynomial approximation 21. Periodic functions: Fourier approximation 22. The convergence of Fourier series 23. Nonperiodic functions: the Fourier integral 24. Linear filters: smoothing and differentiating 25. Integrals and differential equations 26. Exponential approximation 27. Singularities IV. Algorithms and heuristics 28. On finding zeros 29. Simultaneous linear algebraic equations 30. Inversion of matrices and eigenvalues 31. Some examples of the simulation of situations and processes 32. Random numbers and Monte Carlo methods Chapter N+1. The art of computing for scientists and engineers.

Numerical methods for scientists and engineers [texte imprimé] / Richard Wesley Hamming, Auteur . - New York : McGraw-Hill, 1962 . - XVII, 411 p. : ill. ; 21 cm. - (International series in pure and applied mathematics) .
International student edition. - Bibliogr. p. 403-404. - Index
Langues : Anglais (eng)

Mots-clés :	Numerical analysis -- Data processing Electronic digital computers Analyse numérique Approximation, Théorie de l' Algorithmes
Index. décimale :	519.6 Mathématique numérique. Analyse numérique. Programmation. (informatique). Science des ordinateurs.
Note de contenu :	Summary : I. The discrete finite difference calculus 1. The difference calculus 2. Roundoff noise 3. The summation calculus 4. Evaluation of infinite series 5. Finite difference equations 6. The finite Fourier series II. Polynomial approximation: classical numerical analysis 7. Introduction to polynomial approximations 8. Polynomial interpolation: arbitrarily spaced data 9. Polynomial interpolation: equally spaced data 10. A uniform method for finding formulas 11. On finding the error term of a formula 12. Formulas for definite integrals 13. Indefinite integrals 14. Introduction to differential equations 15. A general theory of predictor-corrector methods 16. Special methods of integrating ordinary differential equations 17. Least squares: theory 18. Least squares: practice 19. Chebyshev polynomials 20. Rational functions III. Nonpolynomial approximation 21. Periodic functions: Fourier approximation 22. The convergence of Fourier series 23. Nonperiodic functions: the Fourier integral 24. Linear filters: smoothing and differentiating 25. Integrals and differential equations 26. Exponential approximation 27. Singularities IV. Algorithms and heuristics 28. On finding zeros 29. Simultaneous linear algebraic equations 30. Inversion of matrices and eigenvalues 31. Some examples of the simulation of situations and processes 32. Random numbers and Monte Carlo methods Chapter N+1. The art of computing for scientists and engineers.