1960
DOI: 10.1063/1.3056800
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Approximate Methods of Higher Analysis

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Cited by 593 publications
(199 citation statements)
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“…Theorem 3 gives a sufficient condition for asymptotic stability of system' (38), and condition c dictates the restriction on the nature of the nonlinearities in the system. The inequality (40) indicates that for a nonlinear system with an asymptotically linear part, the stability of the system depends strongly on the relative stability of the linear part of the system.…”
Section: '$(Tt')1·[ S Exp[-7(t-t')] ·mentioning
confidence: 99%
“…Theorem 3 gives a sufficient condition for asymptotic stability of system' (38), and condition c dictates the restriction on the nature of the nonlinearities in the system. The inequality (40) indicates that for a nonlinear system with an asymptotically linear part, the stability of the system depends strongly on the relative stability of the linear part of the system.…”
Section: '$(Tt')1·[ S Exp[-7(t-t')] ·mentioning
confidence: 99%
“…The unknown coefficients a v are determined by a balance procedure applied to the following equation This method to determine the coefficients of the approximate solution (2.2) of the system (2.1) is the Galerkin method (see also [13][14][15][16][17] …”
Section: Galerkin Approximations By Urabe's Methodsmentioning
confidence: 99%
“…Since the function f − g k satisfies the first k derivative conditions, then the new approximation F N [f − g k ] + g k converges at a faster rate to f . This is the principle of the polynomial subtraction process [20,22].…”
Section: Polynomial Subtractionmentioning
confidence: 99%
“…For univariate Fourier expansions, provided the values of these jumps are known, there is an effective tool to accelerate convergence: namely the polynomial subtraction device [20,22]. This idea was first considered by Krylov [21], and has been widely studied since then (see [5,19,23] and the references therein).…”
Section: Introductionmentioning
confidence: 99%
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