Stochastic Optimization Methods: Edition 2
05/2008 · Springer Science & Business Media
5,0star
1 críticareport
Livro eletrónico
340
Páginas
reportAs classificações e as críticas não são validadas Saiba mais
Acerca deste livro eletrónico
Optimization problems arising in practice involve random model parameters. For the computation of robust optimal solutions, i.e., optimal solutions being insenistive with respect to random parameter variations, appropriate deterministic substitute problems are needed. Based on the probability distribution of the random data, and using decision theoretical concepts, optimization problems under stochastic uncertainty are converted into appropriate deterministic substitute problems. Due to the occurring probabilities and expectations, approximative solution techniques must be applied. Several deterministic and stochastic approximation methods are provided: Taylor expansion methods, regression and response surface methods (RSM), probability inequalities, multiple linearization of survival/failure domains, discretization methods, convex approximation/deterministic descent directions/efficient points, stochastic approximation and gradient procedures, differentiation formulas for probabilities and expectations.
Classificações e críticas
5,0
1 crítica
Acerca do autor
Dr. Kurt Marti is a full Professor of Engineering Mathematics at the „Federal Armed Forces University of Munich“. He is Chairman of the IFIP-Working Group 7.7 on “Stochastic Optimization” and has been Chairman of the GAMM-Special Interest Group “Applied Stochastics and Optimization”. Professor Marti has published several books, both in German and in English, and he is author of more than 160 papers in refereed journals.
Classifique este livro eletrónico
Dê-nos a sua opinião.
Informações de leitura
Smartphones e tablets
Instale a app Google Play Livros para Android e iPad/iPhone. A aplicação é sincronizada automaticamente com a sua conta e permite-lhe ler online ou offline, onde quer que esteja.
Portáteis e computadores
Pode ouvir audiolivros comprados no Google Play através do navegador de Internet do seu computador.
eReaders e outros dispositivos
Para ler em dispositivos e-ink, como e-readers Kobo, tem de transferir um ficheiro e movê-lo para o seu dispositivo. Siga as instruções detalhadas do Centro de Ajuda para transferir os ficheiros para os e-readers suportados.
