{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":1,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":32,"n_cols":5,"rows_kept":32,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[3,2,3,3],[5,2,5,3],[6,2,6,3],[7,2,7,3],[8,2,8,3],[9,2,9,3],[24,2,24,3],[25,2,25,3],[28,2,28,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNINA9910874687003321"]
[null,null,"Titolo",null,"Monte Carlo and Quasi-Monte Carlo Methods : MCQMC 2022, Linz, Austria, July 17–22 / / edited by Aicke Hinrichs, Peter Kritzer, Friedrich Pillichshammer"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024"]
[null,null,"ISBN",null,"9783031597626"]
[{"$nulls":4},"9783031597619"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (657 pages)"]
[null,null,"Collana",null,"Springer Proceedings in Mathematics & Statistics, , 2194-1017 ; ; 460"]
[null,null,"Disciplina",null,"519.282"]
[null,null,"Soggetti",null,"Mathematics - Data processing"]
[{"$nulls":4},"Statistics"]
[{"$nulls":4},"Computer science"]
[{"$nulls":4},"Mathematics"]
[{"$nulls":4},"Numerical analysis"]
[{"$nulls":4},"Computational Science and Engineering"]
[{"$nulls":4},"Statistical Theory and Methods"]
[{"$nulls":4},"Computer Science"]
[{"$nulls":4},"Applications of Mathematics"]
[{"$nulls":4},"Numerical Analysis"]
[{"$nulls":4},"Integració numèrica"]
[{"$nulls":4},"Mètode de Montecarlo"]
[{"$nulls":4},"Estadística"]
[{"$nulls":4},"Congressos"]
[{"$nulls":4},"Llibres electrònics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Part I Invited Articles: C. A. Beschle, A. Barth, Quasi Continuous Level Monte Carlo for Random Elliptic PDEs -- M. B. Giles, MLMC Techniques for Discontinuous Functions -- T. Helin, A. M. Stuart, A. L. Teckentrup, K. C. Zygalakis, Introduction to Gaussian Process Regression in Bayesian Inverse Problems, with new Results on Experimental Design for Weighted Error Measures -- V. Kaarnioja, Frances Y. Kuo, Ian H. Sloan, Lattice-Based Kernel Approximation and Serendipitous Weights "]
[{"$nulls":4},"for Parametric PDEs in Very High Dimensions -- E. Novak, Optimal Algorithms for Numerical Integration: Recent Results and Open Problems -- Chris. J. Oates, Minimum Kernel Discrepancy Estimators -- Gabriel Stoltz, Error Estimates and Variance Reduction for Nonequilibrium Stochastic Dynamics -- Part II Contributed Articles: F. Bernal, A. Berridi, Heuristics for the Probabilistic Solution of BVPs with Mixed Boundary Conditions -- Sou-Cheng T. Choi, Y. Ding, Fred J. Hickernell, J. Rathinavel, Aleksei G. Sorokin, Challenges in Developing Great Quasi-Monte Carlo Software -- L. Enzi, S. Thonhauser, Numerical Computation of Risk Functionals in PDMP Risk Models -- J. Fiedler, M. Gnewuch, Christian Weiß, New Bounds for the Extreme and the Star Discrepancy of Double-Infinite Matrices -- C. García-Pareja, F. Nobile, Unbiased Likelihood Estimation of Wright-Fisher Diffusion Processes -- Alexander D. Gilbert, Frances Y. Kuo, Ian H. Sloan, A. Srikumar, Theory and Construction of Quasi-Monte Carlo Rules for Asian Option Pricing and Density Estimation -- Philipp A. Guth, V. Kaarnioja, Application of Dimension Truncation Error Analysis to High Dimensional Function Approximation in Uncertainty Quantification -- Rami El Haddad, C. Lécot, Pierre L’Ecuyer, Simple Stratified Sampling for Simulating Multi-Dimensional Markov Chains -- K. Harsha, M. Gnewuch, M. Wnuk, Infinite-Variate 𝐿2-Approximation with Nested Subspace Sampling -- S. Heinrich, Randomized Complexity of Vector-Valued Approximation -- A. Keller, C. Wächter, N. Binder, Quasi-Monte Carlo Algorithms (not only) for Graphics Software -- S. Krumscheid, Per Pettersson, Sequential Estimation using Hierarchically Stratified Domains with Latin Hypercube Sampling -- Frances Y. Kuo, Weiwen Mo, D. Nuyens, Ian H. Sloan, A. Srikumar, Comparison of Two Search Criteria for Lattice-based Kernel Approximation -- M. Longo, C. Schwab, A. Stein, A-posteriori QMC-FEM Error Estimation for Bayesian Inversion and Optimal Control with Entropic Risk Measure -- E. Løvbak, F. Blondeel, A. Lee, L. Vanroye, Andreas Van Barel, G. Samaey, Reversible Random Number Generation for Adjoint Monte Carlo Simulation of the Heat Equation -- H. Maatouk, D. Rullière, X. Bay, Large Scale Gaussian Processes with Matheron’s Update Rule and Karhunen-Loève Expansion -- A. Mickel, A. Neuenkirch, The Order Barrier for the 𝐿1-approximation of the Log-Heston SDE at a Single Point -- D. Nuyens, L. Wilkes, A Randomised Lattice Rule Algorithm with Pre-determined Generating Vector and Random Number of Points for Korobov Spaces with 0 < 𝛼 ≤ 1/2 -- L. Paulin, D. Coeurjolly, N. Bonneel, Jean-Claude Iehl, V. Ostromoukhov, A. Keller, Generator Matrices by Solving Integer Linear Programs -- K. Ravi, T. Neckel, Hans-Joachim Bungartz, Multi-fidelity No-U-Turn Sampling -- C. Reisinger, M. Olympia Tsianni, Convergence of the Euler–Maruyama Particle Scheme for a Regularised McKean–Vlasov Equation Arising from the Calibration of Local-stochastic Volatility models -- A. G. Sorokin, J. Rathinavel, On Bounding and Approximating Functions of Multiple Expectations using Quasi-Monte Carlo -- K. Spendier, M. Szölgyenyi, Convergence of the Tamed-Euler–Maruyama Method for SDEs with Discontinuous and Polynomially Growing Drift -- Víctor de la Torre, J. Marzo, QMC Strength for some Random Configurations on the Sphere -- P. Vanmechelen, G. Lombaert, G. Samaey, Multilevel MCMC with Level-Dependent Data in a Model Case of Structural Damage Assessment -- M. Wnuk, A Note on Compact Embeddings of Reproducing Kernel Hilbert Spaces in 𝐿2 and Infinite-variate Function Approximation."]
[null,null,null,"Sommario/riassunto","This book presents the refereed proceedings of the 15th International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held in Linz, Austria, and organized by the Johannes Kepler University Linz and the Austrian Academy of "]
[{"$nulls":4},"Sciences, in July 2022. These biennial conferences are major events for Monte Carlo and quasi-Monte Carlo researchers. The proceedings include articles based on invited lectures as well as carefully selected contributed papers on all theoretical aspects and applications of Monte Carlo and quasi-Monte Carlo methods. Offering information on the latest developments in these highly active areas, this book is an excellent reference resource for theoreticians and practitioners interested in solving high-dimensional computational problems, in particular arising in finance, statistics and computer graphics."]