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[null,"1.","Record Nr.",null,"UNINA990009255890403321"]
[null,null,"Titolo",null,"OpenMP in a New Era of Parallelism [Risorsa elettronica] : 4th International Workshop, IWOMP 2008 West Lafayette, IN, USA, May 12-14, 2008 Proceedings / edited by Rudolf Eigenmann, Bronis R. Supinski"]
[null,null,"Pubbl/distr/stampa",null,"Berlin ; Heidelberg : Springer, 2008"]
[null,null,"ISBN",null,"9783540795612"]
[null,null,"Collana",null,"Lecture Notes in Computer Science , 0302-9743 ; 5004"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Risorsa elettronica"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA990006305550403321"]
[null,null,"Autore",null,"Crosara, Aldo Adolfo"]
[null,null,"Titolo",null,"La distribuzione dei redditi familiari nel pregiudizio e nel fatto contrapposti mediante modelli plastici / Aldo A. Crosara"]
[null,null,"Pubbl/distr/stampa",null,"Roma : Editrice Studium, 1959"]
[null,null,"Descrizione fisica",null,"185 p. ; 24 cm"]
[null,null,"Disciplina",null,"519.53"]
[null,null,"Locazione",null,"FGBC"]
[null,null,"Collocazione",null,"XVI D 43"]
[null,null,"Lingua di pubblicazione",null,"Non definito"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"3.","Record Nr.",null,"UNINA9910392726403321"]
[null,null,"Autore",null,"Carpentier Pierre"]
[null,null,"Titolo",null,"Décomposition-coordination en optimisation déterministe et stochastique / / by Pierre Carpentier, Guy Cohen"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2017"]
[null,null,"ISBN",null,"3-662-55428-3"]
[null,null,"Edizione",null,"[1st ed. 2017.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XVII, 333 p. 26 ill., 23 ill. en couleurs.)"]
[null,null,"Collana",null,"Mathématiques et Applications, , 1154-483X ; ; 81"]
[null,null,"Disciplina",null,"519.6"]
[null,null,"Soggetti",null,"Mathematical optimization"]
[{"$nulls":4},"Algorithms"]
[{"$nulls":4},"Probabilities"]
[{"$nulls":4},"Optimization"]
[{"$nulls":4},"Probability Theory and Stochastic Processes"]
[null,null,"Lingua di pubblicazione",null,"Francese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Préface -- Partie I Optimisation déterministe -- Partie II Optimisation stochastique -- Partie III Problèmes et corrigés -- Postface -- Littérature -- Index."]
[null,null,null,"Sommario/riassunto","Ce livre considère le traitement de problèmes d'optimisation de grande taille. L'idée est d'éclater le problème d'optimisation global en sous-problèmes plus petits, donc plus faciles à résoudre, chacun impliquant l'un des sous-systèmes (décomposition), mais sans renoncer à obtenir l'optimum global, ce qui nécessite d'utiliser une procédure itérative (coordination). Ce sujet a fait l'objet de plusieurs livres publiés dans les années 70 dans le contexte de l'optimisation déterministe. Nous présentans ici les principes essentiels et méthodes de décomposition-coordination au travers de situations typiques, puis nous proposons un cadre général qui permet de construire des algorithmes corrects et d'étudier leur convergence. Cette théorie est présentée aussi bien dans le contexte de l'optimisation déterministe que stochastique. Ce matériel a été enseigné par les auteurs dans divers cours de 3ème cycle et également mis en œuvre dans de nombreuses applications industrielles. Des exercices et problèmes avec corrigés illustrent le potentiel de cette approche. Decomposition-coordination in deterministic and stochastic optimization This book discusses large-scale optimization problems involving systems made up of "]
[{"$nulls":4},"interconnected subsystems. The main viewpoint is to break down the overall optimization problem into smaller, easier-to-solve subproblems, each involving one subsystem (decomposition), without sacrificing the objective of achieving the global optimum, which requires an iterative process (coordination). This topic emerged in the 70’s in the context of deterministic optimization. The present book describes the main principles and methods of decomposition-coordination using typical situations, then proposes a general framework that makes it possible to construct well-behaved algorithms and to study their convergence. This theory is presented in the context of deterministic as well as stochastic optimization, and has been taught by the authors in graduate courses and implemented in numerous industrial applications. The book also provides exercises and problems with answers to illustrate the potential of this approach."]