00852nam0-22003131i-450-990000864750403321200010100-486-68029-0000086475FED01000086475(Aleph)000086475FED0100008647520001010d--------km-y0itay50------baitay-------001yyAnalysis of Numerical MethodsE.Isaacson, H.B. KellerNew YorkDover PublicationsInc.1966XV, 541 p.22 cm519.4Isaacson,Eugene42769Keller,Herbert BishopITUNINARICAUNIMARCBK99000086475040332102 48 E 417557FINBNFINBNAnalysis of Numerical Methods349386UNINAING0100863nam0 2200253 450 991028062360332120180728215047.020180728g199719988km y0itay50 baitaITGlicogenesi tipo 1 non- a e malattia infiammatoria cronica intestinale.tesi di specializzazione in PediatriaDaniela MelisGeneroso AndriaNapoliUniversità degli studi di Napoli "Federico II"1997-199846 p.30 cmPediatriaMalattie del metabolismoMelis,Daniela751461Andria,GenerosoITUNINAREICATUNIMARCBK99102806236033211997-1998 MelisDMEPEDMEPEGlicogenesi tipo 1 non- a e malattia infiammatoria cronica intestinale1510916UNINA01492nam 2200349 n 450 99638458630331620221108053832.0(CKB)4940000000070187(EEBO)2240927026(UnM)9959466100971(EXLCZ)99494000000007018720790322d1708 uh engurbn||||a|bb|By the Queen, a proclamation, for dissolving this present parliament, and declaring the speedy calling of another[electronic resource]London printed by Charles Bill, and the executrix of Thomas Newcomb, deceas'd; printers to the Queens most excellent Majesty17081 sheet ([1] p.)"Given at our court at Kensington the fifteenth day of April, in the seventh year of our reign.".Steele notation: Arms 168 Ad- shires in. Press figure C under imprint. Also priced below imprint: (Price One Peny.).Reproduction of original in the British Library.eebo-0018Great BritainPolitics and government1702-1714Early works to 1800AnneQueen of Great Britain,1665-1714.1000904Uk-ESUk-ESCu-RivESCStRLINCu-RivESBOOK996384586303316By the Queen, a proclamation, for dissolving this present parliament, and declaring the speedy calling of another2376578UNISA04308nam 22006135 450 991086523810332120251215150110.09783031589096(electronic bk.)978303158908910.1007/978-3-031-58909-6(MiAaPQ)EBC31360148(Au-PeEL)EBL31360148(CKB)32213130500041(DE-He213)978-3-031-58909-6(EXLCZ)993221313050004120240601d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierHigh-Dimensional Optimization Set Exploration in the Non-Asymptotic Regime /by Jack Noonan, Anatoly Zhigljavsky1st ed. 2024.Cham :Springer Nature Switzerland :Imprint: Springer,2024.1 online resource (153 pages)SpringerBriefs in Optimization,2191-575XPrint version: Noonan, Jack High-Dimensional Optimization Cham : Springer International Publishing AG,c2024 9783031589089 Introduction -- Chapter 1 High-dimensional cubes, balls and spherically symmetric distributions -- Chapter 2 Space exploration: partial covering and quantization.This book is interdisciplinary and unites several areas of applied probability, statistics, and computational mathematics including computer experiments, optimal experimental design, and global optimization. The bulk of the book is based on several recent papers by the authors but also contains new results. Considering applications, this brief highlights multistart and other methods of global optimizations requiring efficient exploration of the domain of optimization. This book is accessible to a wide range of readers; the prerequisites for reading the book are rather low, and many numerical examples are provided that pictorially illustrate the main ideas, methods, and conclusions. The main purpose of this book is the construction of efficient exploration strategies of high-dimensional sets. In high dimensions, the asymptotic arguments could be practically misleading and hence the emphasis on the non-asymptotic regime. An important link with global optimization stems from the observation that approximate covering is one of the key concepts associated with multistart and other key random search algorithms. In addition to global optimization, important applications of the results are computer experiments and machine learning. It is demonstrated that the asymptotically optimal space-filling designs, such as pure random sampling or low-discrepancy point nets, could be rather inefficient in the non-asymptotic regime and the authors suggest ways of increasing the efficiency of such designs. The range of techniques ranges from experimental design, Monte Carlo, and asymptotic expansions in the central limit theorem to multivariate geometry, theory of lattices, and numerical integration. This book could be useful to a wide circle of readers, especially those specializing in global optimization, numerical analysis, computer experiments, and computational mathematics. As specific recipes for improving set exploration schemes are formulated, the book can also be used by the practitioners interested in applications only. .SpringerBriefs in Optimization,2191-575XMathematical optimizationStochastic processesMathematicsData processingOptimizationStochastic ProcessesComputational Mathematics and Numerical AnalysisOptimització matemàticathubLlibres electrònicsthubMathematical optimization.Stochastic processes.MathematicsData processing.Optimization.Stochastic Processes.Computational Mathematics and Numerical Analysis.Optimització matemàtica519.6Noonan Jack1742672Zhigljavsky Anatoly468354MiAaPQMiAaPQMiAaPQ9910865238103321High-Dimensional Optimization4169386UNINA