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  • Search: subject:"Cubic Spline Function"
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Subject
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Cubic spline function 2 Forecasting model 2 Japan 2 Prognoseverfahren 2 Algorithm 1 Algorithmus 1 Automobile production prediction 1 Automotive industry 1 Cubic Spline Function 1 Fast Decoupled method 1 Forecast 1 Gauss Sidle Method 1 Gray model 1 Gray system theory 1 Grey prediction model 1 IEEE-30 Bus System 1 Kfz-Industrie 1 Load Flow 1 Mathematical programming 1 Mathematische Optimierung 1 Mobile communications 1 Mobilkommunikation 1 Newton-Raphson Method 1 Particle swarm optimization algorithm 1 Prognose 1 Telecommunications industry 1 Telecommunications industry prediction 1 Telekommunikationssektor 1 Theorie 1 Theory 1
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Undetermined 1
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Article 3
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2
Language
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English 3
Author
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Li, Guo-dong 2 Masuda, Shiro 2 Nagai, Masatake 2 Chakravorty, Sandeep 1 Ray, Amitava 1 Shabbiruddin 1 Sherpa, Karma Sonam 1
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Published in...
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Technological forecasting & social change : an international journal 2 International Journal of Energy Optimization and Engineering (IJEOE) 1
Source
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ECONIS (ZBW) 2 Other ZBW resources 1
Showing 1 - 3 of 3
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Power Flow Investigation Using Cubic Spline Function a Case Study
Ray, Amitava; Sherpa, Karma Sonam; Shabbiruddin; … - In: International Journal of Energy Optimization and … 7 (2018) 4, pp. 1-16
This article presents an approach using cubic spline function to study Load Flow with a view to acquiring a reliable … Fast Decoupled method. To build this method, this paper used cubic spline function. This approach can be considered as a …
Persistent link: https://www.econbiz.de/10012044589
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The prediction for Japan's domestic and overseas automobile production
Li, Guo-dong; Masuda, Shiro; Nagai, Masatake - In: Technological forecasting & social change : an … 87 (2014), pp. 224-231
Persistent link: https://www.econbiz.de/10010481302
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Predicting the subscribers of fixed-line and cellular phone in Japan by a novel prediction model
Li, Guo-dong; Masuda, Shiro; Nagai, Masatake - In: Technological forecasting & social change : an … 81 (2014), pp. 321-330
Persistent link: https://www.econbiz.de/10010403121
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