02480nam 2200481 450 991079813360332120230808192519.03-86945-891-7(CKB)3710000000636616(EBL)4471201(MiAaPQ)EBC4471201(Au-PeEL)EBL4471201(CaPaEBR)ebr11200963(CaONFJC)MIL910456(OCoLC)945697883(EXLCZ)99371000000063661620160504h20162016 uy 0gerur|n|---|||||rdacontentrdamediardacarrierDie autonomie der GeisteswissenschaftenZweiter BandSystematische Untersuchungen zu Diltheys Werk Studien zur philosophie Wilhelm Diltheys /Hans-Ulrich LessingNordhausen, [Germany] :Verlag Traugott Bautz,2016.©20161 online resource (213 p.)Philosophische Anthropologie Themen und Positionen ;13.2Description based upon print version of record.3-95948-095-4 Cover ; Titelei ; Impressum ; Inhalt; 1 Dilthey als Historiker - Das Leben Schleiermachers als Paradigma ; 2 Von der Metaphysik zur Erkenntnistheorie - Diltheys Phänomenologie der metaphysischen Vernunft ; 3 Zum Problem der Willensfreiheit in Diltheys Denken; 4 Von der Realpsychologie zur Strukturtheorie; 5 Diltheys Konzeption einer Strukturpsychologie und ihre systematische Bedeutung in seiner Philosophie der Geisteswissenschaften ; 6 Der ganze Mensch - Grundzüge von Diltheys philosophischer Anthropologie ; 7 Die Hermeneutik in Diltheys Grundlegung der Geisteswissenschaften8 Der Zusammenhang von Leben, Ausdruck und Verstehen 9 Das Verstehen und seine Grenzen in Diltheys Philosophie der Geisteswissenschaften ; 10 Das Wahrheitsproblem im Historismus: Droysen und Dilthey ; 11 Der Typus zwischen Ordnungs- und Aufschließungsfunktion ; 12 Vollständigkeitsprinzip und Redundanz; Zur Zitierweise; NachweisePhilosophische Anthropologie Themen und PositionenPhilosophical anthropologyHistoryPhilosophical anthropologyHistory.128.09Lessing Hans-Ulrich1953-152668MiAaPQMiAaPQMiAaPQBOOK9910798133603321Die autonomie der Geisteswissenschaften3728703UNINA05233nam 2200637Ia 450 991083028310332120230105194502.01-62198-230-01-282-68811-197866126881193-527-62621-23-527-62622-0(CKB)1000000000766585(EBL)481869(OCoLC)437248491(SSID)ssj0000340551(PQKBManifestationID)11947677(PQKBTitleCode)TC0000340551(PQKBWorkID)10387952(PQKB)10860025(MiAaPQ)EBC481869(EXLCZ)99100000000076658520080430d2008 uy 0engur|n|---|||||txtccrMonte Carlo methods[electronic resource] /Malvin H. Kalos, Paula A. Whitlock2nd ed.Weinheim Wiley-Blackwellc20081 online resource (217 p.)Previous ed.: New York; Chichester: Wiley 1986.3-527-40760-X Includes bibliographical references and index.Monte Carlo Methods; Contents; Preface to the Second Edition; Preface to the First Edition; 1 What is Monte Carlo?; 1.1 Introduction; 1.2 Topics to be Covered; 1.3 A Short History of Monte Carlo; References; 2 A Bit of Probability; 2.1 Random Events; 2.2 Random Variables; 2.2.1 The Binomial Distribution; 2.2.2 The Geometric Distribution; 2.2.3 The Poisson Distribution; 2.3 Continuous Random Variables; 2.4 Expectations of Continuous Random Variables; 2.5 Bivariate Continuous Random Distributions; 2.6 Sums of Random Variables: Monte Carlo Quadrature2.7 Distribution of the Mean of a Random Variable: A Fundamental Theorem2.8 Distribution of Sums of Independent Random Variables; 2.9 Monte Carlo Integration; 2.10 Monte Carlo Estimators; References; Further Reading; Elementary; More Advanced; 3 Sampling Random Variables; 3.1 Transformation of Random Variables; 3.2 Numerical Transformation; 3.3 Sampling Discrete Distributions; 3.4 Composition of Random Variables; 3.4.1 Sampling the Sum of Two Uniform Random Variables; 3.4.2 Sampling a Random Variable Raised to a Power; 3.4.3 Sampling the Distribution f(z) = z(1 - z)3.4.4 Sampling the Sum of Several Arbitrary Distributions3.5 Rejection Techniques; 3.5.1 Sampling a Singular pdf Using Rejection; 3.5.2 Sampling the Sine and Cosine of an Angle; 3.5.3 Kahn's Rejection Technique for a Gaussian; 3.5.4 Marsaglia et al. Method for Sampling a Gaussian; 3.6 Multivariate Distributions; 3.6.1 Sampling a Brownian Bridge; 3.7 The M(RT)2 Algorithm; 3.8 Application of M(RT)2; 3.9 Testing Sampling Methods; References; Further Reading; 4 Monte Carlo Evaluation of Finite-Dimensional Integrals; 4.1 Importance Sampling; 4.2 The Use of Expected Values to Reduce Variance4.3 Correlation Methods for Variance Reduction4.3.1 Antithetic Variates; 4.3.2 Stratification Methods; 4.4 Adaptive Monte Carlo Methods; 4.5 Quasi-Monte Carlo; 4.5.1 Low-Discrepancy Sequences; 4.5.2 Error Estimation for Quasi-Monte Carlo Quadrature; 4.5.3 Applications of Quasi-Monte Carlo; 4.6 Comparison of Monte Carlo Integration, Quasi-Monte Carlo and Numerical Quadrature; References; Further Reading; 5 Random Walks, Integral Equations, and Variance Reduction; 5.1 Properties of Discrete Markov Chains; 5.1.1 Estimators and Markov Processes; 5.2 Applications Using Markov Chains5.2.1 Simulated Annealing5.2.2 Genetic Algorithms; 5.2.3 Poisson Processes and Continuous Time Markov Chains; 5.2.4 Brownian Motion; 5.3 Integral Equations; 5.3.1 Radiation Transport and Random Walks; 5.3.2 The Boltzmann Equation; 5.4 Variance Reduction; 5.4.1 Importance Sampling of Integral Equations; References; Further Reading; 6 Simulations of Stochastic Systems: Radiation Transport; 6.1 Radiation Transport as a Stochastic Process; 6.2 Characterization of the Source; 6.3 Tracing a Path; 6.4 Modeling Collision Events; 6.5 The Boltzmann Equation and Zero Variance Calculations6.5.1 Radiation Impinging on a SlabThis introduction to Monte Carlo methods seeks to identify and study the unifying elements that underlie their effective application. Initial chapters provide a short treatment of the probability and statistics needed as background, enabling those without experience in Monte Carlo techniques to apply these ideas to their research.The book focuses on two basic themes: The first is the importance of random walks as they occur both in natural stochastic systems and in their relationship to integral and differential equations. The second theme is that of variance reduction in general and imporMonte Carlo methodProblems, exercises, etcMonte Carlo methodMonte Carlo methodMonte Carlo method.518.282Kalos Malvin H294629Whitlock Paula A308051MiAaPQMiAaPQMiAaPQBOOK9910830283103321Monte Carlo methods739067UNINA