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1. |
Record Nr. |
UNISA996386777903316 |
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Autore |
Settle Elkanah <1648-1724.> |
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Titolo |
The triumphs of London [[electronic resource] ] : performed on Thursday, Octob. 29, 1691, for the entertainment of the Right Honourable Sir Thomas Stamp, Kt., lord mayor of the city of London : containing a true description of the several pageants, with the speeches spoken on each pageant : all set forth at the proper costs and charges of the worshipful Company of Drapers / / by E.S |
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Pubbl/distr/stampa |
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London, : Printed by Alex. Milbourn for Abel Roper ..., 1691 |
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Descrizione fisica |
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Soggetti |
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London (England) History 17th century |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Error in paging: p. 7-8 lacking in numbering only. |
Reproduction of original in the Huntington Library. |
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Sommario/riassunto |
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2. |
Record Nr. |
UNINA9910150210603321 |
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Autore |
Shelley Mary |
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Titolo |
Frankenstein |
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Pubbl/distr/stampa |
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Ware, : Wordsworth Editions Ltd, 2011 |
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ISBN |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (325 p.) |
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Collana |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Frankenstein's Monster (Fictitious character)--Fiction |
Monsters--Fiction |
Scientists--Fiction |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di contenuto |
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General Introduction; Publisher's Introduction; Introduction Notes; Bibliography; A Note on the Text; Author's Introduction; Preface by Percy Bysshe Shelley; Frankenstein; Letter I; To Mrs Saville, England; To Mrs Saville, England; To Mrs Saville, England; To Mrs Saville, England; Chapter 1; Chapter 2; Chapter 3; Chapter 4; Chapter 5; Chapter 6; Chapter 7; Chapter 8; Chapter 9; Chapter 10; Chapter 11; Chapter 12; Chapter 13; Chapter 14; Chapter 15; Chapter 16; Chapter 17; Chapter 18; Chapter 19; Chapter 20; Chapter 21; Chapter 22; Chapter 23; Chapter 24; Walton, in continuation; Notes |
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Sommario/riassunto |
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Frankenstein is a deeply disturbing story of a monstrous creation, which has terrified and chilled readers since its first publication in 1818. |
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3. |
Record Nr. |
UNINA9910135974803321 |
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Autore |
Lakshmivarahan S. |
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Titolo |
Forecast error correction using dynamic data assimilation / / by Sivaramakrishnan Lakshmivarahan, John M. Lewis, Rafal Jabrzemski |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (XVI, 270 p. 125 illus., 104 illus. in color.) |
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Collana |
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Springer Atmospheric Sciences, , 2194-5217 |
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Disciplina |
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Soggetti |
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Data mining |
Computer simulation |
Computers |
Atmospheric science |
Geology—Statistical methods |
Data Mining and Knowledge Discovery |
Simulation and Modeling |
Models and Principles |
Atmospheric Sciences |
Quantitative Geology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Part I Theory -- Introduction -- Dynamics of evolution of first- and second-order forward sensitivity: discrete time and continuous time -- Estimation of control errors using forward sensitivities: FSM with single and multiple observations -- Relation to adjoint sensitivity and impact of observation -- Estimation of model errors using Pontryagin’s Maximum Principle- its relation to 4-D VAR and hence FSM -- FSM and predictability - Lyapunov index -- Part II Applications -- Mixed-layer model - the Gulf of Mexico problem -- Lagrangian data assimilation -- Conclusions -- Appendix -- Index. . |
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Sommario/riassunto |
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This book introduces the reader to a new method of data assimilation with deterministic constraints (exact satisfaction of dynamic constraints)—an optimal assimilation strategy called Forecast Sensitivity |
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Method (FSM), as an alternative to the well-known four-dimensional variational (4D-Var) data assimilation method. 4D-Var works with a forward in time prediction model and a backward in time tangent linear model (TLM). The equivalence of data assimilation via 4D-Var and FSM is proven and problems using low-order dynamics clarify the process of data assimilation by the two methods. The problem of return flow over the Gulf of Mexico that includes upper-air observations and realistic dynamical constraints gives the reader a good idea of how the FSM can be implemented in a real-world situation. . |
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