Elementary numerical analysis / Kendall Atkinson.

Por: Atkinson, Kendall EEditor: New York : Wiley, c1993Edición: 2nd edDescripción: xiii, 425 p. : il. ; 25 cmISBN: 047150999XTema(s): Numerical analysisOtra clasificación: 65-01 Recursos en línea: Publisher description
Contenidos:
Chapter 1 TAYLOR POLYNOMIALS [1]
1.1 The Taylor polynomial [2]
1.2 The error in Taylor's polynomial [7]
1.3 Polynomial evaluation [13]
Chapter 2 COMPUTER REPRESENTATION OF NUMBERS [19]
2.1 The binary number system [20]
2.2 Floating-point numbers [25]
Chapter 3 ERROR [35]
3.1 Errors: definitions, sources, and examples [36]
3.2 Propagation of error [48]
3.3 Summation [53]
Chapter 4 ROOTFINDING [61]
4.1 The bisection method [62]
4.2 Newton's method [68]
4.3 Secant method [78]
4.4 Fixed point iteration [83]
4.5 Ill-behaved rootfinding problems [94]
Chapter 5 INTERPOLATION [101]
5.1 Polynomial interpolation [102]
5.2 Divided differences [111]
5.3 Error in polynomial interpolation [121]
5.4 Interpolation using spline functions [129]
Chapter 6 APPROXIMATION OF FUNCTIONS [141]
6.1 The best approximation problem [142]
6.2 Chebyshev polynomials [147]
6.3 A near-minimax approximation method [153]
Chapter 7 NUMERICAL INTEGRATION AND Differentiation [161]
7.1 The trapezoidal and Simpson rules [162]
7.2 Error formulas [172]
7.3 Gaussian numerical integration [187]
7.4 Numerical differentiation [195]
Chapter 8 SOLUTION OF SYSTEMS OF LINEAR EQUATIONS [205]
8.1 Systems of linear equations [206]
8.2 Gaussian elimination [210]
8.3 Matrix arithmetic [225]
8.4 The LU factorization [238]
8.5 Error in solving linear systems [248]
8.6 Least squares data fitting [256]
8.7 The eigenvalue problem [268]
8.8 Iteration methods [282]
8.9 Nonlinear systems [291]
Chapter 9 THE NUMERICAL SOLUTION OF DIFFERENTIAL EQUATIONS [303]
9.1 Theory of differential equations: An introduction [304]
9.2 Euler's method [311]
9.3 Convergence analysis of Euler's method [319]
9.4 Taylor and Runge-Kutta methods [326]
9.5 Multistep methods [339]
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Item type Home library Shelving location Call number Materials specified Status Date due Barcode Course reserves
Libros Libros Instituto de Matemática, CONICET-UNS
Libros ordenados por tema 65 At875e-2 (Browse shelf) Available A-7067

CONCEPTO DE ANÁLISIS NUMÉRICO

ELEMENTOS DE MÉTODOS NUMÉRICOS

MÉTODOS NUMÉRICOS A

MÉTODOS NUMÉRICOS B


Incluye programas en lenguaje Fortran 77.

Incluye referencias bibliográficas (p. 417-419) e índice.

Chapter 1 TAYLOR POLYNOMIALS [1] --
1.1 The Taylor polynomial [2] --
1.2 The error in Taylor's polynomial [7] --
1.3 Polynomial evaluation [13] --
Chapter 2 COMPUTER REPRESENTATION OF NUMBERS [19] --
2.1 The binary number system [20] --
2.2 Floating-point numbers [25] --
Chapter 3 ERROR [35] --
3.1 Errors: definitions, sources, and examples [36] --
3.2 Propagation of error [48] --
3.3 Summation [53] --
Chapter 4 ROOTFINDING [61] --
4.1 The bisection method [62] --
4.2 Newton's method [68] --
4.3 Secant method [78] --
4.4 Fixed point iteration [83] --
4.5 Ill-behaved rootfinding problems [94] --
Chapter 5 INTERPOLATION [101] --
5.1 Polynomial interpolation [102] --
5.2 Divided differences [111] --
5.3 Error in polynomial interpolation [121] --
5.4 Interpolation using spline functions [129] --
Chapter 6 APPROXIMATION OF FUNCTIONS [141] --
6.1 The best approximation problem [142] --
6.2 Chebyshev polynomials [147] --
6.3 A near-minimax approximation method [153] --
Chapter 7 NUMERICAL INTEGRATION AND Differentiation [161] --
7.1 The trapezoidal and Simpson rules [162] --
7.2 Error formulas [172] --
7.3 Gaussian numerical integration [187] --
7.4 Numerical differentiation [195] --
Chapter 8 SOLUTION OF SYSTEMS OF LINEAR EQUATIONS [205] --
8.1 Systems of linear equations [206] --
8.2 Gaussian elimination [210] --
8.3 Matrix arithmetic [225] --
8.4 The LU factorization [238] --
8.5 Error in solving linear systems [248] --
8.6 Least squares data fitting [256] --
8.7 The eigenvalue problem [268] --
8.8 Iteration methods [282] --
8.9 Nonlinear systems [291] --
Chapter 9 THE NUMERICAL SOLUTION OF DIFFERENTIAL EQUATIONS [303] --
9.1 Theory of differential equations: An introduction [304] --
9.2 Euler's method [311] --
9.3 Convergence analysis of Euler's method [319] --
9.4 Taylor and Runge-Kutta methods [326] --
9.5 Multistep methods [339] --

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