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[null,"1.","Record Nr.",null,"UNINA9910480266203321"]
[null,null,"Autore",null,"Brimo René <1911-1948, >"]
[null,null,"Titolo",null,"The evolution of taste in American collecting / / René Brimo ; translated, edited, and with an introduction by Kenneth Haltman"]
[null,null,"Pubbl/distr/stampa",null,"University Park, Pennsylvania : , : The Pennsylvania State University Press, , [2016]"]
[{"$nulls":4},"©2016"]
[null,null,"ISBN",null,"0-271-07786-7"]
[null,null,"Descrizione fisica",null,"1 online resource (x, 405 pages )"]
[null,null,"Disciplina",null,"709.73"]
[null,null,"Soggetti",null,"Aesthetics"]
[{"$nulls":4},"Art museums - United States"]
[{"$nulls":4},"Art - Collectors and collecting - United States"]
[{"$nulls":4},"Art - United States - History"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Originally published as L'évolution du goût aux États-Unis d'après l'histoire des collections by René Brimo (Paris, 1938)."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (pages 433-370) and index."]
[null,null,null,"Sommario/riassunto","\"A critical translation of Rene Brimo's 1938 French study of eighteenth- and nineteenth-century patronage and art collecting in the United States\"--Provided by publisher."]
[null,"2.","Record Nr.",null,"UNINA9910338246303321"]
[null,null,"Autore",null,"Yang Xin-She"]
[null,null,"Titolo",null,"Mathematical Foundations of Nature-Inspired Algorithms / / by Xin-She Yang, Xing-Shi He"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019"]
[null,null,"ISBN",null,"3-030-16936-7"]
[null,null,"Edizione",null,"[1st ed. 2019.]"]
[null,null,"Descrizione fisica",null,"1 online resource (114 pages)"]
[null,null,"Collana",null,"SpringerBriefs in Optimization, , 2190-8354"]
[null,null,"Disciplina",null,"004.678015118"]
[{"$nulls":4},"004.678"]
[null,null,"Soggetti",null,"Mathematical optimization"]
[{"$nulls":4},"Numerical analysis"]
[{"$nulls":4},"Markov processes"]
[{"$nulls":4},"Algorithms"]
[{"$nulls":4},"Optimization"]
[{"$nulls":4},"Numerical Analysis"]
[{"$nulls":4},"Markov model"]
[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,"1 Introduction to Optimization -- 2 Nature-Inspired Algorithms -- 3 Mathematical Foundations -- 4 Mathematical Analysis I -- 5 Mathematical Analysis II."]
[null,null,null,"Sommario/riassunto","This book presents a systematic approach to analyze nature-inspired algorithms. Beginning with an introduction to optimization methods and algorithms, this book moves on to provide a unified framework of mathematical analysis for convergence and stability. Specific nature-inspired algorithms include: swarm intelligence, ant colony optimization, particle swarm optimization, bee-inspired algorithms, bat algorithm, firefly algorithm, and cuckoo search. Algorithms are analyzed from a wide spectrum of theories and frameworks to offer insight to the main characteristics of algorithms and understand how and why they work for solving optimization problems. In-depth mathematical analyses are carried out for different perspectives, including complexity theory, fixed point theory, dynamical systems, self-organization, Bayesian framework, Markov chain framework, filter theory, statistical learning, and statistical measures. Students and researchers in optimization, operations research, artificial intelligence, "]
[{"$nulls":4},"data mining, machine learning, computer science, and management sciences will see the pros and cons of a variety of algorithms through detailed examples and a comparison of algorithms."]