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[null,"1.","Record Nr.",null,"UNINA9910961945403321"]
[null,null,"Autore",null,"Palmer Joy <1951->"]
[null,null,"Titolo",null,"Geography in the early years / / Joy A. Palmer and Joanna C. Birch"]
[null,null,"Pubbl/distr/stampa",null,"London ; ; New York, NY, : RoutledgeFalmer, 2004"]
[null,null,"ISBN",null,"1-134-36011-8"]
[{"$nulls":4},"1-134-36012-6"]
[{"$nulls":4},"1-280-06373-4"]
[{"$nulls":4},"9786610063734"]
[{"$nulls":4},"0-203-24073-1"]
[null,null,"Edizione",null,"[2nd ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (229 p.)"]
[null,null,"Collana",null,"Teaching and learning in the early years"]
[null,null,"Disciplina",null,"372.89/1"]
[null,null,"Soggetti",null,"Geography - Study and teaching (Elementary)"]
[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","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (p. [209]-212) and indexes."]
[null,null,"Nota di contenuto",null,"Preliminaries; Contents; The authors; Editor's preface; Acknowledgements; 1 The young child in the geographical world; 2 Geographical and environmental education; 3 Policy planning and organisation; 4 Policy into practice; 5 Training and professional development; 6 Resources; Postscript; References; Name index; Subject index"]
[null,null,null,"Sommario/riassunto","This completely revised and updated second edition of Geography in the Early Years presents a lively and comprehensive overview of teaching and learning in geography.Theoretical aspects of early years teaching in geography are complemented by up-to-date research findings and illustrated with discussion, a wealth of case studies, and suggestions for the development and implementation of sound geographical work in practice.In a practitioner-friendly style, this book provides:an examination of the essence of geography in terms of children's conceptions of the"]
[null,"2.","Record Nr.",null,"UNINA9910484553803321"]
[null,null,"Titolo",null,"Numerical Nonsmooth Optimization : State of the Art Algorithms / / edited by Adil M. Bagirov, Manlio Gaudioso, Napsu Karmitsa, Marko M. Mäkelä, Sona Taheri"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020"]
[null,null,"ISBN",null,"3-030-34910-1"]
[null,null,"Edizione",null,"[1st ed. 2020.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XVIII, 700 p. 41 illus., 26 illus. in color.)"]
[null,null,"Disciplina",null,"515.64"]
[null,null,"Soggetti",null,"Operations research"]
[{"$nulls":4},"Management science"]
[{"$nulls":4},"Decision making"]
[{"$nulls":4},"Numerical analysis"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Economics"]
[{"$nulls":4},"Operations Research, Management Science"]
[{"$nulls":4},"Operations Research/Decision Theory"]
[{"$nulls":4},"Numeric Computing"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Economic Theory/Quantitative Economics/Mathematical Methods"]
[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,"Introduction -- Part I: General Methods -- Part II: Structure Exploiting Methods -- Part III: Methods for Special Problems -- Part IV: Derivative-free Methods."]
[null,null,null,"Sommario/riassunto","Solving nonsmooth optimization (NSO) problems is critical in many practical applications and real-world modeling systems. The aim of this book is to survey various numerical methods for solving NSO problems and to provide an overview of the latest developments in the field. Experts from around the world share their perspectives on specific aspects of numerical NSO. The book is divided into four parts, the first of which considers general methods including subgradient, bundle and gradient sampling methods. In turn, the second focuses on methods that exploit the problem’s special structure, e.g. algorithms for nonsmooth DC programming, VU decomposition techniques, and "]
[{"$nulls":4},"algorithms for minimax and piecewise differentiable problems. The third part considers methods for special problems like multiobjective and mixed integer NSO, and problems involving inexact data, while the last part highlights the latest advancements in derivative-free NSO. Given its scope, the book is ideal for students attending courses on numerical nonsmooth optimization, for lecturers who teach optimization courses, and for practitioners who apply nonsmooth optimization methods in engineering, artificial intelligence, machine learning, and business. Furthermore, it can serve as a reference text for experts dealing with nonsmooth optimization."]