02806nam 2200649Ia 450 991045337500332120200520144314.00-8179-1426-90-8179-1428-5(CKB)2550000001163245(EBL)1370696(SSID)ssj0000755344(PQKBManifestationID)11424379(PQKBTitleCode)TC0000755344(PQKBWorkID)10729746(PQKB)10123525(MiAaPQ)EBC3301874(MiAaPQ)EBC1370696(Au-PeEL)EBL3301874(CaPaEBR)ebr10622927(CaONFJC)MIL545383(OCoLC)823741803(Au-PeEL)EBL1370696(OCoLC)876507748(EXLCZ)99255000000116324520120302d2011 uy 0engur|n|---|||||txtccrConserving liberty[electronic resource] /Mark BlitzStanford, Calif. Hoover Institution Press, Stanford Universityc20111 online resource (150 p.)Hoover Institution Press publication ;no. 617Description based upon print version of record.0-8179-1424-2 1-306-14132-X Includes bibliographical references and index.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; IndexMark 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.Hoover Institution Press publication ;617.LibertyConservatismUnited StatesUnited StatesPolitics and governmentPhilosophyElectronic books.Liberty.Conservatism320.520973Blitz Mark775487MiAaPQMiAaPQMiAaPQBOOK9910453375003321Conserving liberty2444683UNINA02061nam 2200613 a 450 991045302490332120200520144314.01-61761-451-3(CKB)2550000001042180(EBL)3019581(SSID)ssj0000852965(PQKBManifestationID)11516602(PQKBTitleCode)TC0000852965(PQKBWorkID)10853686(PQKB)11411757(MiAaPQ)EBC3019581(Au-PeEL)EBL3019581(CaPaEBR)ebr10671146(OCoLC)847626120(EXLCZ)99255000000104218020091215d2010 uy 0engur|n|---|||||txtccrBinary aqueous and CO[subscript 2] containing mixtures and the Krichevskii parameter[electronic resource] /Aziz I. Abdulagatov, Ilmutdin M. Abdulagatov, Gennadii V. StepanovHauppauge, N.Y. Nova Science Publishersc20101 online resource (237 p.)Chemistry research and applications seriesDescription based upon print version of record.1-60876-990-9 Includes bibliographical references and index.Chemistry research and applications series.Supercritical fluidsLiquid carbon dioxideThermochemistryMathematical modelsSolventsElectronic books.Supercritical fluids.Liquid carbon dioxide.ThermochemistryMathematical models.Solvents.660/.042Abdulagatov Aziz I955660Abdulagatov Ilmutdin M955661Stepanov Gennadiĭ Vladimirovich955662MiAaPQMiAaPQMiAaPQBOOK9910453024903321Binary aqueous and CO containing mixtures and the Krichevskii parameter2162642UNINA04731nam 22006495 450 99646544420331620200629210814.03-030-29414-510.1007/978-3-030-29414-4(CKB)4100000009845260(DE-He213)978-3-030-29414-4(MiAaPQ)EBC5982902(PPN)248599429(EXLCZ)99410000000984526020191120d2020 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierTheory of Evolutionary Computation[electronic resource] Recent Developments in Discrete Optimization /edited by Benjamin Doerr, Frank Neumann1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (XII, 506 p. 27 illus., 17 illus. in color.)Natural Computing Series,1619-71273-030-29413-7 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.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.Natural Computing Series,1619-7127ComputersArtificial intelligenceMathematical optimizationOperations researchDecision makingTheory of Computationhttps://scigraph.springernature.com/ontologies/product-market-codes/I16005Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Optimizationhttps://scigraph.springernature.com/ontologies/product-market-codes/M26008Operations Research/Decision Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/521000Computers.Artificial intelligence.Mathematical optimization.Operations research.Decision making.Theory of Computation.Artificial Intelligence.Optimization.Operations Research/Decision Theory.004.0151Doerr Benjaminedthttp://id.loc.gov/vocabulary/relators/edtNeumann Frankedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996465444203316Theory of Evolutionary Computation2129712UNISA01412nam 2200469 450 991079257220332120230808201120.088-921-6355-8(CKB)3710000000986695(MiAaPQ)EBC4771225(Au-PeEL)EBL4771225(CaPaEBR)ebr11318856(OCoLC)967538454(EXLCZ)99371000000098669520170106h20162016 uy 0itaurcnu||||||||rdacontentrdamediardacarrierL'analisi dell'innovazione nei servizi professionali /Andrea TomoTurin, Italy :G. Giappichelli Editore,2016.©20161 online resource (145 pages)Economia Aziendale. Sezione Ricerche ;2588-921-0643-0 Includes bibliographical references and index.Customer servicesService industriesMarketingProfessionsMarketingCustomer services.Service industriesMarketing.ProfessionsMarketing.658.812Tomo Andrea761116MiAaPQMiAaPQMiAaPQBOOK9910792572203321L'analisi dell'innovazione nei servizi professionali3741068UNINA