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[null,"1.","Record Nr.",null,"UNISA996503472203316"]
[null,null,"Autore",null,"Scolari Angelo Nin"]
[null,null,"Titolo",null,"Teatrocontinuo : Un'isola di ricerca. A cura di Francesco Puccio e Luciana Roma / / Angelo Nin Scolari"]
[null,null,"Pubbl/distr/stampa",null,"Roma : , : Carocci editore S.p.A., , 2023"]
[null,null,"ISBN",null,"88-430-7852-6"]
[null,null,"Descrizione fisica",null,"1 online resource (190 pages)"]
[null,null,"Disciplina",null,"792.09450904"]
[null,null,"Soggetti",null,"Theater - Italy - History - 20th century"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Dedica -- Prefazione -- Introduzione -- Premessa -- Teatro -- Gruppo -- Pedagogia -- Attore -- Regia* -- Spazio -- Drammaturgia -- Spettatore -- Appendice -- Intervista a Nin Scolari e a Luciana Roma* -- Biografia di Angelo Nin Scolari -- Breve storia di Teatrocontinuo -- Riferimenti bibliografici."]
[null,null,null,"Sommario/riassunto","Nell'ambito della definizione delle principali poetiche di Teatrocontinuo, questo volume rappresenta un'isola di ricerca, un viaggio nel teatro come linguaggio d'arte e come processo culturale, la riflessione che Nin Scolari ha compiuto a partire dalle linee direttive con cui i maestri del Novecento hanno sovvertito la scena tradizionale. Ma è anche una storia individuale, un'esperienza di indagine artistica e di generosità professionale. Non tanto un manuale, quanto un libro sull'importanza del concetto di gruppo, una ricerca oltre il tempo senza tempo del Teatro."]
[null,"2.","Record Nr.",null,"UNINA9910742495303321"]
[null,null,"Autore",null,"Fuhrländer Mona"]
[null,null,"Titolo",null,"Design Methods for Reducing Failure Probabilities with Examples from Electrical Engineering / / by Mona Fuhrländer"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023"]
[null,null,"ISBN",null,"3-031-37019-8"]
[null,null,"Edizione",null,"[1st ed. 2023.]"]
[null,null,"Descrizione fisica",null,"1 online resource (168 pages)"]
[null,null,"Collana",null,"Springer Theses, Recognizing Outstanding Ph.D. Research, , 2190-5061"]
[null,null,"Disciplina",null,"621.31042"]
[null,null,"Soggetti",null,"Telecommunication"]
[{"$nulls":4},"Engineering design"]
[{"$nulls":4},"Mathematical models"]
[{"$nulls":4},"Microwaves, RF Engineering and Optical Communications"]
[{"$nulls":4},"Engineering Design"]
[{"$nulls":4},"Mathematical Modeling and Industrial Mathematics"]
[{"$nulls":4},"Aparells electrònics"]
[{"$nulls":4},"Disseny"]
[{"$nulls":4},"Fallades de sistemes (Enginyeria)"]
[{"$nulls":4},"Llibres electrònics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"1. Introduction -- 2. Modeling -- 3. Mathematical foundations of robust design -- 4. Yield Estimation -- 5. Yield optimization -- 6. Numerical applications and results -- 7. Conclusion and outlook -- Appendix A: Geometry and material specifications for the PMSM."]
[null,null,null,"Sommario/riassunto","This book deals with efficient estimation and optimization methods to improve the design of electrotechnical devices under uncertainty. Uncertainties caused by manufacturing imperfections, natural material variations, or unpredictable environmental influences, may lead, in turn, to deviations in operation. This book describes two novel methods for yield (or failure probability) estimation. Both are hybrid methods that combine the accuracy of Monte Carlo with the efficiency of surrogate models. The SC-Hybrid approach uses stochastic collocation and adjoint error indicators. The non-intrusive GPR-Hybrid approach consists of a Gaussian process regression that allows surrogate model updates on the fly. Furthermore, the book proposes "]
[{"$nulls":4},"an adaptive Newton-Monte-Carlo (Newton-MC) method for efficient yield optimization. In turn, to solve optimization problems with mixed gradient information, two novel Hermite-type optimization methods are described. All the proposed methods have been numerically evaluated on two benchmark problems, such as a rectangular waveguide and a permanent magnet synchronous machine. Results showed that the new methods can significantly reduce the computational effort of yield estimation, and of single- and multi-objective yield optimization under uncertainty. All in all, this book presents novel strategies for quantification of uncertainty and optimization under uncertainty, with practical details to improve the design of electrotechnical devices, yet the methods can be used for any design process affected by uncertainties. ."]