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[null,"1.","Record Nr.",null,"UNINA9910765761703321"]
[null,null,"Autore",null,"Shi Jiancheng"]
[null,null,"Titolo",null,"Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li: Volume 1 / Jiancheng Shi, Guangjian Yan, Shunlin Liang"]
[null,null,"Pubbl/distr/stampa",null,"Basel, Switzerland : , : MDPI, , 2019"]
[null,null,"ISBN",null,"3-03897-271-1"]
[null,null,"Descrizione fisica",null,"1 online resource (1 p.)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","Quantitative land remote sensing has recently advanced dramatically, particularly in China. It has been largely driven by vast governmental investment, the availability of a huge amount of Chinese satellite data, geospatial information requirements for addressing pressing environmental issues and other societal benefits. Many individuals have also fostered and made great contributions to its development, and Prof. Xiaowen Li was one of these leading figures. This book is published in memory of Prof. Li. The papers collected in this book cover topics from surface reflectance simulation, inversion algorithm and estimation of variables, to applications in optical, thermal, Lidar and microwave remote sensing. The wide range of variables include directional reflectance, chlorophyll fluorescence, aerosol optical depth, incident solar radiation, albedo, surface temperature, upward longwave radiation, leaf area index, fractional vegetation cover, forest biomass, precipitation, evapotranspiration, freeze/thaw snow cover, vegetation productivity, phenology and biodiversity indicators. They clearly reflect the current level of research in this area. This book constitutes an excellent reference suitable for upper-level undergraduate students, graduate students and professionals in remote sensing."]
[null,"2.","Record Nr.",null,"UNINA9910254078703321"]
[null,null,"Autore",null,"Quarteroni Alfio"]
[null,null,"Titolo",null,"Reduced Basis Methods for Partial Differential Equations : An Introduction / / by Alfio Quarteroni, Andrea Manzoni, Federico Negri"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016"]
[null,null,"ISBN",null,"3-319-15431-1"]
[null,null,"Edizione",null,"[1st ed. 2016.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XI, 296 p.)"]
[null,null,"Collana",null,"La Matematica per il 3+2, , 2038-5722 ; ; 92"]
[null,null,"Disciplina",null,"515.353"]
[null,null,"Soggetti",null,"Differential equations, Partial"]
[{"$nulls":4},"Mathematical models"]
[{"$nulls":4},"Applied mathematics"]
[{"$nulls":4},"Engineering mathematics"]
[{"$nulls":4},"Fluid mechanics"]
[{"$nulls":4},"Partial Differential Equations"]
[{"$nulls":4},"Mathematical Modeling and Industrial Mathematics"]
[{"$nulls":4},"Mathematical and Computational Engineering"]
[{"$nulls":4},"Engineering Fluid Dynamics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (pages 281-292) and index."]
[null,null,"Nota di contenuto",null,"1 Introduction -- 2 Representative problems: analysis and (high-fidelity) approximation -- 3 Getting parameters into play -- 4 RB method: basic principle, basic properties -- 5 Construction of reduced basis spaces -- 6 Algebraic and geometrical structure -- 7 RB method in actions -- 8 Extension to nonaffine problems -- 9 Extension to nonlinear problems -- 10 Reduction and control: a natural interplay -- 11 Further extensions -- 12 Appendix A Elements of functional analysis."]
[null,null,null,"Sommario/riassunto","This book provides a basic introduction to reduced basis (RB) methods for problems involving the repeated solution of partial differential equations (PDEs) arising from engineering and applied sciences, such as PDEs depending on several parameters and PDE-constrained optimization. The book presents a general mathematical formulation of RB methods, analyzes their fundamental theoretical properties, discusses the related algorithmic and implementation aspects, and highlights their built-in algebraic and geometric structures. More "]
[{"$nulls":4},"specifically, the authors discuss alternative strategies for constructing accurate RB spaces using greedy algorithms and proper orthogonal decomposition techniques, investigate their approximation properties and analyze offline-online decomposition strategies aimed at the reduction of computational complexity. Furthermore, they carry out both a priori and a posteriori error analysis. The whole mathematical presentation is made more stimulating by the use of representative examples of applicative interest in the context of both linear and nonlinear PDEs. Moreover, the inclusion of many pseudocodes allows the reader to easily implement the algorithms illustrated throughout the text. The book will be ideal for upper undergraduate students and, more generally, people interested in scientific computing."]