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{ "item_title" : "Monte Carlo and Quasi-Monte Carlo Methods 2012", "item_author" : [" Josef Dick", "Frances Y. Kuo", "Gareth W. Peters "], "item_description" : "Part I Invited Articles.- Jan Baldeaux and Eckhard Platen: Computing Functionals of Square Root and Wishart Processes Under the Benchmark Approach via Exact Simulation.- Dmitriy Bilyk and Michael Lacey: The Supremum Norm of the Discrepancy Function: Recent Results and Connections.- Pierre Del Moral, Gareth W. Peters, and Christelle VergAn Introduction to Stochastic Particle Integration Methods: With Applications to Risk and Insurance.- Michael B. Giles: Multilevel Monte Carlo Methods.- Fred J. Hickernell, Lan Jiang, Yuewei Liu, and Art B. Owen: Guaranteed Conservative Fixed Width Confidence Intervals Via Monte Carlo Sampling.- Aicke Hinrichs: Discrepancy, Integration and Tractability.- Leszek Plaskota: Noisy Information: Optimality, Complexity, Tractability.- Part II: Tutorial.- Alexander Keller: Quasi-Monte Carlo Image Synthesis in a Nutshell.- Part III Contributed Articles.- Nico Achtsis, Ronald Cools, and Dirk Nuyens: Model.- Christoph Aistleitner and Markus Weimar: Probabilistic Star Discrepancy Bounds for Double Infinite Random Matrices.- Dmitriy Bilyk: The L2 Discrepancy of Irrational Lattices.- Thomas Daun and Stefan Heinrich: Complexity of Banach Space Valued and Parametric Integration.- Gregory E. Fasshauer and Qi Ye: A Kernel-Based Collocation Method for Elliptic Partial Differential Equations With Random Coefficients.- Colin Fox: Polynomial Accelerated MCMC and Other Sampling Algorithms Inspired by Computational Optimization.- Michael B. Giles and Lukasz Szpruch: Antithetic Multilevel Monte Carlo Estimation for Multidimensional SDEs.- Fran ois Giraud and Pierre Del Moral: On the Convergence of Quantum and Sequential Monte Carlo Methods.- Michael Gnewuch: Lower Error Bounds for Randomized Multilevel and Changing Dimension Algorithms.- Rami El Haddad, Rana Fakhereddine, Christian L cot, and Gopalakrishnan Venkiteswaran: Extended Latin Hypercube Sampling for Integration and Simulation.- Hiroshi Haramoto, Makoto Matsumoto, Takuji Nishimura, and Yuki Otsuka: A Non-Empirical Test on the Second to the Sixth Least Significant Bits of Pseudorandom Number Generators.- Roswitha Hofer and Gottlieb Pirsic: A Finite-Row Scrambling of Niederreiter Sequences.- Lutz K mmerer: Reconstructing Multivariate Trigonometric Polynomials by Sampling Along Generated Sets.- Jonathan M. Keith and Christian M. Davey: Bayesian Approaches to the Design of Markov Chain Monte Carlo Samplers.- Alexander Keller and Nikolaus Binder: Deterministic Consistent Density Estimation for Light Transport Simulation.- Mih ly Kov cs, Stig Larsson, and Karsten Urban: On Wavelet-Galerkin Methods for Semilinear Parabolic Equations With Additive Noise.- Peter Kritzer, Gunther Leobacher, and Friedrich Pillichshammer: Component-by-Component Construction of Hybrid Point Sets Based on Hammersley and Lattice Point Sets.- Quoc Thong Le Gia: A QMC-Spectral Method for Elliptic PDEs With Random Coefficients on the Unit Sphere.- Alexander Litvinenko, Hermann G. Matthies, and Tarek A. El-Moselhy: Sampling and Low-Rank Tensor Approximation of the Response Surface.- Ian C. Marschner: The Stochastic EM Algorithm for Censored Mixed Models.- Makoto Matsumoto and Takehito Yoshiki: Existence of Higher Order Convergent Quasi-Monte Carlo Rules Via Walsh Figure of Merit.- Werner R misch: ANOVA Decomposition of Convex Piecewise Linear Functions.- Daniel Rudolf: Hit-and-Run for Numerical Integration.- Christoph Schwab: QMC Galerkin Discretization of Parametric Operator Equations.- Vasile Sinescu, Frances Y. Kuo, and Ian H. Sloan: On the Choice of Weights in a Function Space for Quasi-Monte Carlo Methods for a Class of Generalised Response Models in Statistics.- Jonas Sukys, Siddhartha Mishra, and Christoph Schwab: Multi-Level Monte Carlo Finite Difference and Finite Volume Methods for Stochastic Linear Hyperbolic Systems.- Conference Participants.- Index", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/64/241/094/3642410944_b.jpg", "price_data" : { "retail_price" : "169.99", "online_price" : "169.99", "our_price" : "169.99", "club_price" : "169.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Monte Carlo and Quasi-Monte Carlo Methods 2012|Josef Dick

Monte Carlo and Quasi-Monte Carlo Methods 2012

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Part I Invited Articles.- Jan Baldeaux and Eckhard Platen: Computing Functionals of Square Root and Wishart Processes Under the Benchmark Approach via Exact Simulation.- Dmitriy Bilyk and Michael Lacey: The Supremum Norm of the Discrepancy Function: Recent Results and Connections.- Pierre Del Moral, Gareth W. Peters, and Christelle Verg An Introduction to Stochastic Particle Integration Methods: With Applications to Risk and Insurance.- Michael B. Giles: Multilevel Monte Carlo Methods.- Fred J. Hickernell, Lan Jiang, Yuewei Liu, and Art B. Owen: Guaranteed Conservative Fixed Width Confidence Intervals Via Monte Carlo Sampling.- Aicke Hinrichs: Discrepancy, Integration and Tractability.- Leszek Plaskota: Noisy Information: Optimality, Complexity, Tractability.- Part II: Tutorial.- Alexander Keller: Quasi-Monte Carlo Image Synthesis in a Nutshell.- Part III Contributed Articles.- Nico Achtsis, Ronald Cools, and Dirk Nuyens: Model.- Christoph Aistleitner and Markus Weimar: Probabilistic Star Discrepancy Bounds for Double Infinite Random Matrices.- Dmitriy Bilyk: The L2 Discrepancy of Irrational Lattices.- Thomas Daun and Stefan Heinrich: Complexity of Banach Space Valued and Parametric Integration.- Gregory E. Fasshauer and Qi Ye: A Kernel-Based Collocation Method for Elliptic Partial Differential Equations With Random Coefficients.- Colin Fox: Polynomial Accelerated MCMC and Other Sampling Algorithms Inspired by Computational Optimization.- Michael B. Giles and Lukasz Szpruch: Antithetic Multilevel Monte Carlo Estimation for Multidimensional SDEs.- Fran ois Giraud and Pierre Del Moral: On the Convergence of Quantum and Sequential Monte Carlo Methods.- Michael Gnewuch: Lower Error Bounds for Randomized Multilevel and Changing Dimension Algorithms.- Rami El Haddad, Rana Fakhereddine, Christian L cot, and Gopalakrishnan Venkiteswaran: Extended Latin Hypercube Sampling for Integration and Simulation.- Hiroshi Haramoto, Makoto Matsumoto, Takuji Nishimura, and Yuki Otsuka: A Non-Empirical Test on the Second to the Sixth Least Significant Bits of Pseudorandom Number Generators.- Roswitha Hofer and Gottlieb Pirsic: A Finite-Row Scrambling of Niederreiter Sequences.- Lutz K mmerer: Reconstructing Multivariate Trigonometric Polynomials by Sampling Along Generated Sets.- Jonathan M. Keith and Christian M. Davey: Bayesian Approaches to the Design of Markov Chain Monte Carlo Samplers.- Alexander Keller and Nikolaus Binder: Deterministic Consistent Density Estimation for Light Transport Simulation.- Mih ly Kov cs, Stig Larsson, and Karsten Urban: On Wavelet-Galerkin Methods for Semilinear Parabolic Equations With Additive Noise.- Peter Kritzer, Gunther Leobacher, and Friedrich Pillichshammer: Component-by-Component Construction of Hybrid Point Sets Based on Hammersley and Lattice Point Sets.- Quoc Thong Le Gia: A QMC-Spectral Method for Elliptic PDEs With Random Coefficients on the Unit Sphere.- Alexander Litvinenko, Hermann G. Matthies, and Tarek A. El-Moselhy: Sampling and Low-Rank Tensor Approximation of the Response Surface.- Ian C. Marschner: The Stochastic EM Algorithm for Censored Mixed Models.- Makoto Matsumoto and Takehito Yoshiki: Existence of Higher Order Convergent Quasi-Monte Carlo Rules Via Walsh Figure of Merit.- Werner R misch: ANOVA Decomposition of Convex Piecewise Linear Functions.- Daniel Rudolf: Hit-and-Run for Numerical Integration.- Christoph Schwab: QMC Galerkin Discretization of Parametric Operator Equations.- Vasile Sinescu, Frances Y. Kuo, and Ian H. Sloan: On the Choice of Weights in a Function Space for Quasi-Monte Carlo Methods for a Class of Generalised Response Models in Statistics.- Jonas Sukys, Siddhartha Mishra, and Christoph Schwab: Multi-Level Monte Carlo Finite Difference and Finite Volume Methods for Stochastic Linear Hyperbolic Systems.- Conference Participants.- Index

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Details

  • ISBN-13: 9783642410949
  • ISBN-10: 3642410944
  • Publisher: Springer
  • Publish Date: December 2013
  • Dimensions: 9.2 x 6.1 x 1.6 inches
  • Shipping Weight: 2.45 pounds
  • Page Count: 686

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