Monte Carlo Methods in Fuzzy Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Monte Carlo Methods in Fuzzy Optimization write by James J. Buckley. This book was released on 2008-02-20. Monte Carlo Methods in Fuzzy Optimization available in PDF, EPUB and Kindle. Monte Carlo Methods in Fuzzy Optimization is a clear and didactic book about Monte Carlo methods using random fuzzy numbers to obtain approximate solutions to fuzzy optimization problems. The book includes various solved problems such as fuzzy linear programming, fuzzy regression, fuzzy inventory control, fuzzy game theory, and fuzzy queuing theory. The book will appeal to engineers, researchers, and students in Fuzziness and applied mathematics.
Избранное
Избранное - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Избранное write by Martin Andersen Nexø. This book was released on 1949. Избранное available in PDF, EPUB and Kindle.
Optimization of Weighted Monte Carlo Methods
Optimization of Weighted Monte Carlo Methods - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimization of Weighted Monte Carlo Methods write by Gennadii A. Mikhailov. This book was released on 1992-02-13. Optimization of Weighted Monte Carlo Methods available in PDF, EPUB and Kindle. The Monte Carlo method is based on the munerical realization of natural or artificial models of the phenomena under considerations. In contrast to classical computing methods the Monte Carlo efficiency depends weakly on the dimen sion and geometric details of the problem. The method is used for solving complex problems of the radiation transfer theory, turbulent diffusion, chemi cal kinetics, theory of rarefied gases, diffraction of waves on random surfaces, etc. The Monte Carlo method is especially effective when using multi-processor computing systems which allow many independent statistical experiments to be simulated simultaneously. The weighted Monte Carlo estimates are constructed in order to diminish errors and to obtain dependent estimates for the calculated functionals for different values of parameters of the problem, i.e., to improve the functional dependence. In addition, the weighted estimates make it possible to evaluate special functionals, for example, the derivatives with respect to the parameters. There are many works concerned with the development of the weighted estimates. In Chap. 1 we give the necessary information about these works and present a set of illustrations. The rest of the book is devoted to the solution of a series of mathematical problems related to the optimization of the weighted Monte Carlo estimates.
Optimization of Weighted Monte Carlo Methods
Optimization of Weighted Monte Carlo Methods - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimization of Weighted Monte Carlo Methods write by Gennadii A. Mikhailov. This book was released on 1992. Optimization of Weighted Monte Carlo Methods available in PDF, EPUB and Kindle. The Monte Carlo method is based on the munerical realization of natural or artificial models of the phenomena under considerations. In contrast to classical computing methods the Monte Carlo efficiency depends weakly on the dimen sion and geometric details of the problem. The method is used for solving complex problems of the radiation transfer theory, turbulent diffusion, chemi cal kinetics, theory of rarefied gases, diffraction of waves on random surfaces, etc. The Monte Carlo method is especially effective when using multi-processor computing systems which allow many independent statistical experiments to be simulated simultaneously. The weighted Monte Carlo estimates are constructed in order to diminish errors and to obtain dependent estimates for the calculated functionals for different values of parameters of the problem, i.e., to improve the functional dependence. In addition, the weighted estimates make it possible to evaluate special functionals, for example, the derivatives with respect to the parameters. There are many works concerned with the development of the weighted estimates. In Chap. 1 we give the necessary information about these works and present a set of illustrations. The rest of the book is devoted to the solution of a series of mathematical problems related to the optimization of the weighted Monte Carlo estimates.
Explorations in Monte Carlo Methods
Explorations in Monte Carlo Methods - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Explorations in Monte Carlo Methods write by Ronald W. Shonkwiler. This book was released on . Explorations in Monte Carlo Methods available in PDF, EPUB and Kindle.
