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Titlebook: Delay Equations, Approximation and Application; International Sympos G. Meinardus,G. Nürnberger Book 1985 Springer Basel AG 1985 Europe.Ger

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樓主: interminable
31#
發(fā)表于 2025-3-26 22:40:06 | 只看該作者
32#
發(fā)表于 2025-3-27 04:07:49 | 只看該作者
33#
發(fā)表于 2025-3-27 08:06:42 | 只看該作者
34#
發(fā)表于 2025-3-27 10:30:04 | 只看該作者
https://doi.org/10.1007/978-3-8349-4129-9monotonicity principles hold, these methods are often (in not too complicated cases) the only ones for obtaining lower and upper (pointwise) bounds for the approximate solution, which one can guarantee. The method is illustrated on a simple nonlinear integral equation and then applied to (linear and
35#
發(fā)表于 2025-3-27 17:14:50 | 只看該作者
https://doi.org/10.1007/978-3-8349-4129-9k < n, of g. Locher [4] presented a method of interpolation of periodic functions f at the uniform mesh t., k ? ?, by functions h from the linear space V. (g) = lin { g.,g.,...g.} of translates of g. Locher’s method is only applicable if B. (0) ≠ 0 for k = 0,1,...,n?1 where the functions B., k = 0,1
36#
發(fā)表于 2025-3-27 20:50:31 | 只看該作者
Grundzüge der ?ffentlichen Debattecause of the immense variety of its different solution types and the infinity of bifurcations occuring when α varies from 0 to 4. The solutions, corresponding to initial conditions x.∈ [0,1], may be periodic, but nevertheless very complicated, or aperiodic, in some sense “chaotic”. The solutions are
37#
發(fā)表于 2025-3-27 23:29:23 | 只看該作者
Die Idee der freien Wissenschaftdified approach which has many interesting aspects. Most of the results mentioned here were first presented at a Conference on Approximation Theory held in Oberwolfach from November 16 to 21, 1981 but, due to prolonged illness of the first named author, could not be submitted for publication so far.
38#
發(fā)表于 2025-3-28 03:22:59 | 只看該作者
39#
發(fā)表于 2025-3-28 06:15:56 | 只看該作者
40#
發(fā)表于 2025-3-28 14:30:50 | 只看該作者
Romantische Liebe und die Freiheit zu gehenfor this interest was the need of computer subroutines for the evaluation of the elementary functions [2, 3, 17, 27, 46]. These approximations continue to have significant applications in the approximation of data sets and complicated mathematical functions. In fact, for one-dimensional data sets, t
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