01056nam0 2200265 450 00001489220190222141941.020080729d1922----km-y0itay50------baitaITy-------001yyTemperature di lave fluenti dell' EtnaGiovanni PlataniaAcirealeTip. Orario delle ferrovie19228 p.24 cmPubblicazioni dell'Istituto di geografia fisica della R. Università di Catania0016Già pubbl. in: Memorie della R. Accademia di scienze, lettere e arti di Acireale. Classe di scienze. Ser. 3., v. 102001Pubblicazioni dell'Istituto di geografia fisica della R. Università di Catania0016VulcaniEtna551.21094581320Vulcani. CataniaPlatania,Giovanni130958ITUNIPARTHENOPE20080729RICAUNIMARC000014892DEP I-0289/142701NAVA4200807Temperature di lave fluenti dell' Etna1202243UNIPARTHENOPE02586oam 2200565 450 991081560110332120210209110745.09780983351252(electronic book)0983351252(electronic book)9780983351238(paperback)(OCoLC)1236452144(MiFhGG)GVRL59VZ(EXLCZ)99267000000041790820111202h20122012 uy 0engurun|---uuuuatxtrdacontentrdacontentcrdamediacrrdacarrierBecoming a reflective teacher /Robert J. Marzano ; with Tina Boogren, Tammy Heflebower, Jessica Kanold-McIntyre, Debra PickeringBloomington, Indiana :Marzano Research Laboratory,[2012]�20121 online resource (viii, 239 pages) illustrationsClassroom strategies series"This book addresses how teachers can combine a model of effective instruction with goal setting, focused practice, focused feedback, and observations and discussions of teaching to improve their instructional practices."0-9833512-4-4 0-9833512-3-6 Includes bibliographical references (p. 227-234) and index.1. Research and theory -- 2. Having a model of effective teaching -- 3. Setting growth goals -- 4. Engaging in focused practice -- 5. Receiving focused feedback -- 6. Observing and discussing teaching -- Compendium: Strategies for reflective practice -- Appendix A: Answers to comprehension questions -- Appendix B: Teacher scales for reflective practice."This book addresses how teachers can combine a model of effective instruction with goal setting, focused practice, focused feedback, and observations and discussions of teaching to improve their instructional practices."--[Publisher]Classroom strategies that work.Reflective teachingEffective teachingEducationAims and objectivesReflective teaching.Effective teaching.EducationAims and objectives.371.102Marzano Robert J.626626Boogren TinaHeflebower TammyKanold-McIntyre JessicaPickering DebraMiFhGGMiFhGGBOOK9910815601103321Becoming a reflective teacher4029542UNINA03138nam 22006735 450 991029978070332120251202125551.03-319-13395-010.1007/978-3-319-13395-9(CKB)3710000000356743(EBL)1974121(SSID)ssj0001452253(PQKBManifestationID)11952153(PQKBTitleCode)TC0001452253(PQKBWorkID)11487955(PQKB)11786780(DE-He213)978-3-319-13395-9(MiAaPQ)EBC1974121(PPN)18449561X(EXLCZ)99371000000035674320150206d2015 u| 0engur|n|---|||||txtccrNumerical PDE-Constrained Optimization /by Juan Carlos De los Reyes1st ed. 2015.Cham :Springer International Publishing :Imprint: Springer,2015.1 online resource (129 p.)SpringerBriefs in Optimization,2191-575XDescription based upon print version of record.3-319-13394-2 Includes bibliographical references and index.Introduction -- Basic Theory of Partial Differential Equations and Their Discretization -- Theory of PDE-constrained Optimization -- Numerical Optimization Methods -- Box-constrained Problems -- Nonsmooth PDE-constrained Optimization.This book introduces, in an accessible way, the basic elements of Numerical PDE-Constrained Optimization, from the derivation of optimality conditions to the design of solution algorithms. Numerical optimization methods in function-spaces and their application to PDE-constrained problems are carefully presented. The developed results are illustrated with several examples, including linear and nonlinear ones. In addition, MATLAB codes, for representative problems, are included. Furthermore, recent results in the emerging field of nonsmooth numerical PDE constrained optimization are also covered. The book provides an overview on the derivation of optimality conditions and on some solution algorithms for problems involving bound constraints, state-constraints, sparse cost functionals and variational inequality constraints.SpringerBriefs in Optimization,2191-575XMathematical optimizationDifferential equationsNumerical analysisOptimizationDifferential EquationsNumerical AnalysisMathematical optimization.Differential equations.Numerical analysis.Optimization.Differential Equations.Numerical Analysis.510511/.8515.353518519.6Reyes Juan Carlos de losauthttp://id.loc.gov/vocabulary/relators/aut1867139BOOK9910299780703321Numerical PDE-constrained optimization4474575UNINA