00976cam0 2200277 450 E60020006483120210906094729.020100617d1936 |||||ita|0103 bafreIT<<Le >>gentilhomme pauvreHenri Conscienceavec introduction et notes par Margherita Del MinioMilanCharles Signorelli1936-XIV123 p.19 cmScrittori francesi123001LAEC000285492001 *Scrittori francesi123Conscience, HendrikA600200061597070596406Del Minio, MargheritaA600200061598070ITUNISOB20210906RICAUNISOBUNISOB8405284E600200064831M 102 Monografia moderna SBNM840000157Si5284AcquistovittoriniUNISOBUNISOB20100617085108.020150910110039.0AlfanoGentilhomme pauvre1702120UNISOB02540nam 2200565Ia 450 991014529210332120230721030804.00-7494-5126-2(CKB)1000000000403840(EBL)294992(OCoLC)476061646(SSID)ssj0000361680(PQKBManifestationID)12143832(PQKBTitleCode)TC0000361680(PQKBWorkID)10353630(PQKB)11137537(MiAaPQ)EBC294992(EXLCZ)99100000000040384020061011d2007 uy 0engtxtccrInstant creativity[electronic resource] simple techniques to ignite innovation & problem solving /Brian Clegg and Paul BirchLondon ;Philadelphia Kogan Page Limited20071 online resource (192 p.)Description based upon print version of record.0-7494-4867-9 Includes bibliographical references (p. 170-171).Contents; 1 Why creativity?; 2 Creativity primer; 3 The techniques; 4 Techniques 1; 5 Techniques 2; 6 Other sources; Appendix 1 The Selector; Appendix 2 Lists for techniquesInstant Creativity is a collection of tried and tested techniques to encourage individuals and groups make the most of their creativity. It offers over seventy quick and simple exercises to help find fresh ideas and solutions to problems. It is designed for combating a lack of inspiration, for brainstorming ideas for new projects, creating a better understanding of an ongoing problem or for seeking a general direction. The range of ideas will help tap into the creative energies of any individual or an uninspired team. They are particularly useful for marketers, advertising professionals and prCreative ability in businessProblems, exercises, etcProblem solvingProblems, exercises, etcBrainstormingProblems, exercises, etcCreative thinkingProblems, exercises, etcCreative ability in businessProblem solvingBrainstormingCreative thinking658.3658.314Clegg Brian759001Birch Paul1956-1207963MiAaPQMiAaPQMiAaPQBOOK9910145292103321Instant creativity2786865UNINA03985nam 22006495 450 991037388000332120200702010200.03-030-37375-410.1007/978-3-030-37375-7(CKB)4940000000158710(DE-He213)978-3-030-37375-7(MiAaPQ)EBC6005440(PPN)24284894X(EXLCZ)99494000000015871020200102d2020 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierSatellite Remote Sensing in Hydrological Data Assimilation /by Mehdi Khaki1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (XV, 290 p. 101 illus., 88 illus. in color.) 3-030-37374-6 Part 1: Hydrological Data Assimilation -- Chapter 1 - Introduction -- Chapter 2 - Data assimilation and remote sensing data -- Part 2: Model-Data -- Chapter 3 - Hydrologic model -- Chapter 4 - Remote sensing for assimilation -- Part 3 : Data Assimilation Filters -- Chapter 5 - Sequential Data Assimilation Techniques for Data Assimilation -- Part 4 : GRACE Data Assimilation -- Chapter 6 - Efficient Assimilation of GRACE TWS into Hydrological Models -- Part 5 : Water Budget Constraint -- Chapter 7 - Constrained Data Assimilation Filtering -- Chapter 8 - Unsupervised Constraint for Hydrologic Data Assimilation -- Part 6 : Data-driven Approach -- Chapter 9 - Non-parametric Hydrologic Data Assimilation -- Chapter 10 - Parametric and Non-parametric Data Assimilation Frameworks -- Part 7 Hydrologic Applications -- Chapter 11- Groundwater Depletion over Iran -- Chapter 12 - Water Storage Variations over Bangladesh -- Chapter 13 - Multi-mission Satellite Data Assimilation over South America. .This book presents the fundamentals of data assimilation and reviews the application of satellite remote sensing in hydrological data assimilation. Although hydrological models are valuable tools to monitor and understand global and regional water cycles, they are subject to various sources of errors. Satellite remote sensing data provides a great opportunity to improve the performance of models through data assimilation.Physical geographyHydrologyRemote sensingComputer scienceMathematicsStatisticsEarth System Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/G35000Hydrology/Water Resourceshttps://scigraph.springernature.com/ontologies/product-market-codes/211000Remote Sensing/Photogrammetryhttps://scigraph.springernature.com/ontologies/product-market-codes/J13010Computational Mathematics and Numerical Analysishttps://scigraph.springernature.com/ontologies/product-market-codes/M1400XStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/S17020Physical geography.Hydrology.Remote sensing.Computer scienceMathematics.Statistics.Earth System Sciences.Hydrology/Water Resources.Remote Sensing/Photogrammetry.Computational Mathematics and Numerical Analysis.Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.551.48011 551.48011Khaki Mehdiauthttp://id.loc.gov/vocabulary/relators/aut855601MiAaPQMiAaPQMiAaPQBOOK9910373880003321Satellite Remote Sensing in Hydrological Data Assimilation1910234UNINA