Download e-book for iPad: An Introduction to Numerical Analysis (2nd Edition) by Kendall Atkinson

By Kendall Atkinson

ISBN-10: 0471624896

ISBN-13: 9780471624899

This moment version of a typical numerical research textual content keeps association of the unique version, yet all sections were revised, a few broadly, and bibliographies were up to date. New issues coated comprise optimization, trigonometric interpolation and the short Fourier remodel, numerical differentiation, the tactic of strains, boundary price difficulties, the conjugate gradient technique, and the least squares options of platforms of linear equations. comprises many difficulties, a few with suggestions.

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Extra info for An Introduction to Numerical Analysis (2nd Edition)

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B) Write a program to experimentally determine the largest allowable floating-point number. (a) A simple model for population growth is 18. 16). dN -=kN dt with N(t) the population at time t and k > 0. 1 population: N(t+1)=CN(t) t~t 0 Find a formula for C. (b) A more sophisticated model for population growth is dN - dt = kN[1- bN] with b, k > 0 and 1 - bN0 > 0. Find the solution to this differential equation problem. Compare its solution to that of part (a). Describe the differences in population growth predicted by the two models, for both large and small values of t.

Herzberger (1983). Introduction to Interval Computations. Academic Press, New York. Bender, E. (1978). An Introduction to Mathematical Modelling. Wiley, New York. , ed. (1984). Sources and Development of Mathematical Software. J. Fadeeva, V. (1959). Computational Methods of Linear Algebra. Dover, New York. Forsythe, G. (1969). What is a satisfactory quadratic equation solver? In B. Dejon and P. ), Constructive Aspects of the Fundamental Theorem of Algebra, pp. 53-61, Wiley, New York. , and C. Moler (1967).

For a general introduction to his techniques for analyzing the propagation of errors, with applications to several important problems, see Wilkinson (1963), (1965), (1984). Another approach to the control of error is called interval analysis. puting x 1 and x,. For an introduction to this area, showing how to improve on these conservative bounds in particular cases, see Moore (1966). More recently, this area and that of computer arithmetic have been combined to give a general theoretical framework allowing the development of algorithms with rigorous error bounds.

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