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Titlebook: Distributions in the Physical and Engineering Sciences, Volume 1; Distributional and F Alexander I. Saichev,Wojbor Woyczynski Textbook 2018

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樓主: Gram114
11#
發(fā)表于 2025-3-23 11:28:35 | 只看該作者
Wolfgang Balzer,Karl R. Brendel, including the study of electromagnetic and turbulent hydrodynamic fields, image reconstruction algorithms, prediction of earthquakes and tsunami waves, and statistical analysis of economic data, is by now quite obvious.
12#
發(fā)表于 2025-3-23 15:07:14 | 只看該作者
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發(fā)表于 2025-3-23 21:43:04 | 只看該作者
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發(fā)表于 2025-3-23 22:12:54 | 只看該作者
15#
發(fā)表于 2025-3-24 04:49:54 | 只看該作者
https://doi.org/10.1007/978-3-658-15124-9In this chapter we study the . and investigate its properties for functions .(.) depending on a single variable . which will be interpreted as time.
16#
發(fā)表于 2025-3-24 10:26:09 | 只看該作者
17#
發(fā)表于 2025-3-24 10:56:08 | 只看該作者
https://doi.org/10.1007/978-3-642-85286-2The theory of distributions has a flavor similar to the theory of summation of divergent series and integrals and, as we have seen in Chapter 6, is closely related to the theory of singular integrals.
18#
發(fā)表于 2025-3-24 14:57:58 | 只看該作者
Basic Definitions and OperationsThe notion of a . (or a . term often used in other languages) is a comparatively recent invention, although the concept is one of the most important in mathematical areas with physical applications. By the middle of the 20th century, the theory took final shape, and distributions are commonly used by physicists and engineers today.
19#
發(fā)表于 2025-3-24 20:37:10 | 只看該作者
Basic Applications: Rigorous and PragmaticIn this section we give a couple of seemingly naive physical examples. Keeping them in mind, however, reinforces appropriate intuitive images of distributions that help solidify a formal mathematical understanding of the theory, and make it easier to grasp the automation of computations that can be achieved with help of distribution theory.
20#
發(fā)表于 2025-3-24 23:50:02 | 只看該作者
Fourier TransformIn this chapter we study the . and investigate its properties for functions .(.) depending on a single variable . which will be interpreted as time.
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