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Titlebook: Topics in Stability and Bifurcation Theory; David H. Sattinger Book 1973 Springer-Verlag Berlin Heidelberg 1973 Boundary value problem.Eig

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書(shū)目名稱(chēng)Topics in Stability and Bifurcation Theory
編輯David H. Sattinger
視頻videohttp://file.papertrans.cn/927/926286/926286.mp4
叢書(shū)名稱(chēng)Lecture Notes in Mathematics
圖書(shū)封面Titlebook: Topics in Stability and Bifurcation Theory;  David H. Sattinger Book 1973 Springer-Verlag Berlin Heidelberg 1973 Boundary value problem.Eig
出版日期Book 1973
關(guān)鍵詞Boundary value problem; Eigenvalue; Mathematica; bifurcation; function; functional analysis; stability
版次1
doihttps://doi.org/10.1007/BFb0060079
isbn_softcover978-3-540-06133-5
isbn_ebook978-3-540-38333-8Series ISSN 0075-8434 Series E-ISSN 1617-9692
issn_series 0075-8434
copyrightSpringer-Verlag Berlin Heidelberg 1973
The information of publication is updating

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David H. Sattingere original approaches to the automatic DTM generation for cartographic and close range applications.Finally, some applications to the environmental monitoring and to the use of different kinds of geodetic data in multipurpose regional GIS, together with some examples of the applicability of multimed
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David H. Sattingeropular. This is such a rapidly changing topic that any review of available pro- grams is bound to be out of date before the book reaches the read- ers. For this reason, I have described the data handling which is available in various types of program and left it to the reader to select from whatever is on the978-1-4419-4729-1978-1-4757-4905-2
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David H. Sattingerorable in the terminology pioneered by Rubin (.). An initial likelihood approach was to use the so-called classification ML approach whereby the missing labels are taken to be parameters to be estimated along with the parameters of the class-conditional distributions. However, as it can lead to inco
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n-motor PD symptoms. The EEG and EMG results for detecting early-stage PD were validated using other radiological data, such as a Brain Magnetic Imaging signal. The mathematical model for PD diagnosis was developed utilising an ANN and a graphical user interface. The ANN-designed classifier achieved
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Nonlinear elliptic boundary value problems of second order,
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The mathematical problems of hydrodynamic stability,
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