Monte Carlo and Quasi-Monte Carlo Methods : MCQMC 2018, Rennes, France, July 1–6 /: MCQMC 2018, Rennes, France, July 1–6. (2020)
- Record Type:
- Book
- Title:
- Monte Carlo and Quasi-Monte Carlo Methods : MCQMC 2018, Rennes, France, July 1–6 /: MCQMC 2018, Rennes, France, July 1–6. (2020)
- Main Title:
- Monte Carlo and Quasi-Monte Carlo Methods : MCQMC 2018, Rennes, France, July 1–6
- Further Information:
- Note: Bruno Tuffin, Pierre L'Ecuyer.
- Editors:
- Tuffin, Bruno
Lécuyer, Pierre - Contents:
- Part I Invited Talks, H. Dong and M. K. Nakayama, A Tutorial on Quantile Estimation via Monte Carlo.- L. Herrmann and C. Schwab, Multilevel Quasi-Monte Carlo Uncertainty Quantification for Advection-Diffusion-Reaction.- B. L. Nelson, Selecting the Best Simulated System: Thinking Differently About an Old Problem.- F. Pillichshammer, Discrepancy of Digital Sequences: New Results on a Classical QMC Topic.- Part II Regular Talks, L. Bian, T. Cui, G. Sofronov and J. Keith, Network Structure Change Point Detection by Posterior Predictive Discrepancy.- M. Billaud-Friess, A. Macherey, A. Nouy and C. Prieur, Stochastic Methods for Solving High-Dimensional Partial Differential Equations.- N. Binder and A. Keller, Massively Parallel Construction of Radix Tree Forests for the Efficient Sampling of Discrete or Piecewise Constant Probability Distributions.- Y. Ding, F. J. Hickernell, and L. A. J. Rugama, An Adaptive Algorithm Employing Continuous Linear Functionals.- A. Ebert, P. Kritzer and D. Nuyens, Constructing QMC Finite Element Methods for Elliptic PDEs with Random Coefficients by a Reduced CBC Construction.- R. El Haddad, J. El Maalouf, C. Lecot and P. L'Ecuyer, Sudoku Latin, Square Sampling for Markov Chain Simulation.- T. Hartung, K. Jansen, H. Leovey, and J. Volmer, Avoiding the Sign Problem in Lattice Field Theory.- R. Hofer, On Hybrid Point Sets Stemming from Halton-Type Hammersley Point Sets and Polynomial Lattice Point Sets.- M. Huber, Robust Estimation of the Mean withPart I Invited Talks, H. Dong and M. K. Nakayama, A Tutorial on Quantile Estimation via Monte Carlo.- L. Herrmann and C. Schwab, Multilevel Quasi-Monte Carlo Uncertainty Quantification for Advection-Diffusion-Reaction.- B. L. Nelson, Selecting the Best Simulated System: Thinking Differently About an Old Problem.- F. Pillichshammer, Discrepancy of Digital Sequences: New Results on a Classical QMC Topic.- Part II Regular Talks, L. Bian, T. Cui, G. Sofronov and J. Keith, Network Structure Change Point Detection by Posterior Predictive Discrepancy.- M. Billaud-Friess, A. Macherey, A. Nouy and C. Prieur, Stochastic Methods for Solving High-Dimensional Partial Differential Equations.- N. Binder and A. Keller, Massively Parallel Construction of Radix Tree Forests for the Efficient Sampling of Discrete or Piecewise Constant Probability Distributions.- Y. Ding, F. J. Hickernell, and L. A. J. Rugama, An Adaptive Algorithm Employing Continuous Linear Functionals.- A. Ebert, P. Kritzer and D. Nuyens, Constructing QMC Finite Element Methods for Elliptic PDEs with Random Coefficients by a Reduced CBC Construction.- R. El Haddad, J. El Maalouf, C. Lecot and P. L'Ecuyer, Sudoku Latin, Square Sampling for Markov Chain Simulation.- T. Hartung, K. Jansen, H. Leovey, and J. Volmer, Avoiding the Sign Problem in Lattice Field Theory.- R. Hofer, On Hybrid Point Sets Stemming from Halton-Type Hammersley Point Sets and Polynomial Lattice Point Sets.- M. Huber, Robust Estimation of the Mean with Bounded Relative Standard Deviation.- H. Hult, P. Nyquist and C. Ringqvist, Infinite Swapping Algorithm for Training Restricted Boltzmann Machines.- I. Iscoe and A. Kreinin, Sensitivity Ranks by Monte Carlo.- R. Kritzinger and F. Pillichshammer, Lower Bounds on the Lp Discrepancy of Digital NUT Sequences.- H. Leovey and W. Romisch, Randomized QMC Methods for Mixed-Integer Two-Stage Stochastic Programs with Application to Electricity Optimization.- A. F. Lopez-Lopera, F. Bachoc, N. Durrande, J. Rohmer, D. Idier and O. Roustant, Approximating Gaussian Process Emulators with Linear Inequality Constraints and Noisy Observations via MC and MCMC.- E. Løvbak, G. Samaey and S. Vandewalle, A Multilevel Monte Carlo Asymptotic-Preserving Particle Method for Kinetic Equations in the Diffusion Limit.- D. Mandel and G. Okten, Randomized Global Sensitivity Analysis and Model Robustness.- A. Petersson, Rapid Covariance-Based Sampling of Linear SPDE Approximations in the Multilevel Monte Carlo Method.- A. Stein and A. Barth, A Multilevel Monte Carlo Algorithm for Parabolic Advection-Diffusion Problems with Discontinuous Coefficients.- T. A. Stepanyuk, Estimates For Logarithmic and Riesz Energies Of Spherical t-Designs.- Y. Suzuki and D. Nuyens, Rank-1 Lattices and Higher-Order Exponential Splitting for the Time-Dependent Schr¨odinger Equation.- C. von Hallern and A. Roßler, An Analysis of the Milstein Scheme for SPDEs without a Commutative Noise Condition.- Fei Xie, M. B. Giles, and Zhijian He, QMC Sampling from Empirical Datasets. … (more)
- Publisher Details:
- Cham : Springer
- Publication Date:
- 2020
- Copyright Date:
- 2020
- Extent:
- 1 online resource (539 pages)
- Subjects:
- Mathematics
Computer mathematics
Statistics
Computer simulation
Applied mathematics
Engineering mathematics
Numerical analysis
Mathematics -- Probability & Statistics -- General
Computers -- Computer Simulation
Mathematics -- Applied
Mathematics -- Number Systems
Probability & statistics
Computer modelling & simulation
Applied mathematics
Numerical analysis
Computers -- Computer Science
Maths for scientists - Languages:
- English
- ISBNs:
- 9783030434656
- Related ISBNs:
- 9783030434649
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- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- British Library HMNTS - ELD.DS.507740
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