| 期刊全稱 | Asymptotic Analysis | | 期刊簡(jiǎn)稱 | A Distributional App | | 影響因子2023 | Ricardo Estrada,Ram P. Kanwal | | 視頻video | http://file.papertrans.cn/164/163768/163768.mp4 | | 圖書封面 |  | | 影響因子 | Asymptotic analysis is an old subject that has found applications in vari- ous fields of pure and applied mathematics, physics and engineering. For instance, asymptotic techniques are used to approximate very complicated integral expressions that result from transform analysis. Similarly, the so- lutions of differential equations can often be computed with great accuracy by taking the sum of a few terms of the divergent series obtained by the asymptotic calculus. In view of the importance of these methods, many excellent books on this subject are available [19], [21], [27], [67], [90], [91], [102], [113]. An important feature of the theory of asymptotic expansions is that experience and intuition play an important part in it because particular problems are rather individual in nature. Our aim is to present a sys- tematic and simplified approach to this theory by the use of distributions (generalized functions). The theory of distributions is another important area of applied mathematics, that has also found many applications in mathematics, physics and engineering. It is only recently, however, that the close ties between asymptotic analysis and the theory of distributions have bee | | Pindex | Book 19941st edition |
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