03242nam 22005293u 450 991048030980332120210114202032.00-7022-3825-2(CKB)2550000000048300(EBL)692831(OCoLC)609852273(MiAaPQ)EBC692831(Au-PeEL)EBL692831(CaONFJC)MIL534402(EXLCZ)99255000000004830020130418d2010|||| u|| |engur|n|---|||||txtrdacontentcrdamediacrrdacarrierErrol, Fidel and the Cuban Rebel Girls[electronic resource]Chicago University of Queensland Press20101 online resource (315 p.)Description based upon print version of record.1-306-03151-6 0-7022-3856-2 Cover; About the Author; Title Page; Copyright Page; Dedication; Map; Havana, 15 October 1959; 1 People don't get killed in movies.; 2 A higher high concept than boy meets girl.; 3 Every New York hoodlum, his dick is in Cuba.; 4 Introducing the American Correspondent.; 5 The importance of being Ernesto.; 6 I could feel it on the back of my neck.; 7 Not the way to make a movie.; 8 A dozen yanquis with a camera in Santiago.; 9 A part with something to say.; 10 If anyone can make us famous, it is you.; 11 Such a man is el commandante.; 12 And now you expect me to buy a ticket.13 Here is your war.14 You can't teach a Cuban about music.; 15 In the revolucion, everything changes.; 16 I guess there's more to this war stuff than I thought.; 17 El bailarin, el heroe.; 18 The Christmas Day massacre.; 19 Dying is easy.; 20 I catch myself acting out my life like a goddamn script.; 21 But we are men of good faith.; 22 Audacia, that's what it is in Spanish.; 23 Castro takes Havana.; 24 A revolutionary guided by love.; 25 An odd sense of pointless prescience.; 26 Castro, he doesn't like to lose.; 27 Front page challenge.; 28 Tell him it was just a game.29 Last hurrah of the golden years.Los Angeles, 27 December 1959; CUBAN REBEL GIRLS; AcknowledgementsBased on true events, Errol, Fidel and the Cuban Rebel Girls recreates one of the 20th century's great untold stories. Cuba, 1959: In the final year of his life, Errol Flynn found time for one last adventure. The dashing star of many Hollywood films had always longed to be a real hero. Fidel Castro was the genuine article, and now he was looking for fame. What each man had the other wanted and, as revolution raged around them, the stage was set for an explosive encounter. Cuba is on the brink of revolution and Errol Flynn is there making what will be his final film. When they Castro, FidelCubaFlynn, ErrolElectronic books.Castro, Fidel.Cuba.Flynn, Errol.823.4Anderson Boyd1037150AU-PeELAU-PeELAU-PeELBOOK9910480309803321Errol, Fidel and the Cuban Rebel Girls2457915UNINA04359nam 22006255 450 991073409760332120230719192542.03-030-29414-510.1007/978-3-030-29414-4(CKB)4100000009845260(DE-He213)978-3-030-29414-4(MiAaPQ)EBC5982902(PPN)248599429(EXLCZ)99410000000984526020191120d2020 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierTheory of Evolutionary Computation 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,2627-64613-030-29413-7 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,2627-6461Computer scienceArtificial intelligenceMathematical optimizationOperations researchTheory of ComputationArtificial IntelligenceOptimizationOperations Research and Decision TheoryComputer science.Artificial intelligence.Mathematical optimization.Operations research.Theory of Computation.Artificial Intelligence.Optimization.Operations Research and Decision Theory.004.0151Doerr Benjaminedthttp://id.loc.gov/vocabulary/relators/edtNeumann Frankedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910734097603321Theory of Evolutionary Computation2129712UNINA