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1. |
Record Nr. |
UNINA9910453375003321 |
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Autore |
Blitz Mark |
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Titolo |
Conserving liberty [[electronic resource] /] / Mark Blitz |
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Pubbl/distr/stampa |
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Stanford, Calif., : Hoover Institution Press, Stanford University, c2011 |
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ISBN |
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0-8179-1426-9 |
0-8179-1428-5 |
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Descrizione fisica |
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1 online resource (150 p.) |
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Collana |
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Hoover Institution Press publication ; ; no. 617 |
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Disciplina |
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Soggetti |
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Liberty |
Conservatism - United States |
Electronic books. |
United States Politics and government Philosophy |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Front Cover; Book Title; Contents; Foreword; Preface; Introduction: The Importance of Conservatism; Chapter One: Conserving Natural Rights; Chapter Two: Conserving Virtue; Chapter Three: Conserving Excellence; Chapter Four: Conserving Self-Government; Notes; Bibliography; About the Author; About the Hoover Institution's Boyd and Jill Smith Task Force on Virtues of a Free Society; Index |
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Sommario/riassunto |
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Mark Blitz defends the principles of American conservatism, countering many of the narrow or mistaken views that have arisen from both its friends and its foes. He asserts that individual liberty is the most powerful, reliable, and true standpoint from which to clarify and secure conservatism?but that individual freedom alone cannot produce happiness. The author shows that, to fully grasp conservatism's merits, we must we also understand the substance of responsibility, toleration, and other virtues. |
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2. |
Record Nr. |
UNISA996465444203316 |
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Titolo |
Theory of Evolutionary Computation [[electronic resource] ] : Recent Developments in Discrete Optimization / / edited by Benjamin Doerr, Frank Neumann |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (XII, 506 p. 27 illus., 17 illus. in color.) |
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Collana |
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Natural Computing Series, , 1619-7127 |
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Disciplina |
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Soggetti |
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Computers |
Artificial intelligence |
Mathematical optimization |
Operations research |
Decision making |
Theory of Computation |
Artificial Intelligence |
Optimization |
Operations Research/Decision Theory |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Probabilistic Tools for the Analysis of Randomized Optimization Heuristics -- Drift Analysis -- Complexity Theory for Discrete Black-Box Optimization Heuristics -- Parameterized Complexity Analysis of Randomized Search Heuristics -- Analysing Stochastic Search Heuristics Operating on a Fixed Budget -- Theory of Parameter Control for Discrete Black-Box Optimization: Provable Performance Gains Through Dynamic Parameter Choices -- Analysis of Evolutionary Algorithms in Dynamic and Stochastic Environments -- The Benefits of Population Diversity in Evolutionary Algorithms: A Survey of Rigorous Runtime Analyses -- Theory of Estimation-of-Distribution Algorithms -- Theoretical Foundations of Immune-Inspired Randomized Search Heuristics for Optimization -- Computational Complexity Analysis of Genetic Programming. |
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Sommario/riassunto |
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This edited book reports on recent developments in the theory of evolutionary computation, or more generally the domain of randomized search heuristics. It starts with two chapters on mathematical methods that are often used in the analysis of randomized search heuristics, followed by three chapters on how to measure the complexity of a search heuristic: black-box complexity, a counterpart of classical complexity theory in black-box optimization; parameterized complexity, aimed at a more fine-grained view of the difficulty of problems; and the fixed-budget perspective, which answers the question of how good a solution will be after investing a certain computational budget. The book then describes theoretical results on three important questions in evolutionary computation: how to profit from changing the parameters during the run of an algorithm; how evolutionary algorithms cope with dynamically changing or stochastic environments; and how population diversity influences performance. Finally, the book looks at three algorithm classes that have only recently become the focus of theoretical work: estimation-of-distribution algorithms; artificial immune systems; and genetic programming. Throughout the book the contributing authors try to develop an understanding for how these methods work, and why they are so successful in many applications. The book will be useful for students and researchers in theoretical computer science and evolutionary computing. |
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3. |
Record Nr. |
UNINA9910792572203321 |
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Autore |
Tomo Andrea |
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Titolo |
L'analisi dell'innovazione nei servizi professionali / / Andrea Tomo |
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Pubbl/distr/stampa |
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Turin, Italy : , : G. Giappichelli Editore, , 2016 |
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©2016 |
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ISBN |
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Descrizione fisica |
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1 online resource (145 pages) |
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Collana |
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Economia Aziendale. Sezione Ricerche ; ; 25 |
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Disciplina |
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Soggetti |
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Customer services |
Service industries - Marketing |
Professions - Marketing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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