"Parallel Importance Separation and Adaptive Monte Carlo Algorithms for Multiple Integrals"

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Book	Author(s)	Year	Publisher
Convergence rates and Monte Carlo standard errors for Markov chain Monte Carlo Algorithms	Galin L. Jones	2001
Efficient Quadrature Rules for Illumination Integrals: From Quasi Monte Carlo to Bayesian Monte Carlo	Ricardo Marques; Christian Bouville; Luís Paulo Santos; Kadi Bouatouch		Springer International Publishing
Monte Carlo: Concepts, Algorithms, and Applications	George Fishman	1996	Springer New York
Quantum Monte Carlo Methods: Algorithms for Lattice Models	James Gubernatis; Naoki Kawashima; Philipp Werner	2016-06	Cambridge University Press
Monte Carlo and Quasi-Monte Carlo Sampling	Christiane Lemieux	2009	Springer New York
A Monte Carlo study of multiple comparison techniques	Merlin Gene Bell	1969	Naval Postgraduate School
Multiple Integrals	Walter Ledermann	1966	Springer Netherlands
Multiple integrals	Open University	1982	Open University Press
Monte Carlo and Quasi-Monte Carlo Methods 2004	Harald Niederreiter; Denis Talay	2006	Springer Berlin Heidelberg
Monte Carlo and Quasi-Monte Carlo Methods 2010	Leszek Plaskota; Henryk Woźniakowski	2012	Springer Berlin Heidelberg
Monte Carlo and Quasi-Monte Carlo Methods 2006	Alexander Keller; Stefan Heinrich; Harald Niederreiter	2008	Springer Berlin Heidelberg
Monte Carlo and Quasi-Monte Carlo Methods 2012	Josef Dick; Frances Y. Kuo; Gareth W. Peters; Ian H. Sloan	2013	Springer Berlin Heidelberg
Monte Carlo and Quasi-Monte Carlo Methods 2008	Pierre L' Ecuyer; Art B. Owen	2009	Springer Berlin Heidelberg
Monte Carlo Simulation for the Pharmaceutical Industry: Concepts, Algorithms, and Case Studies	Mark Chang	2010	Routledge
Monte Carlo	Paul Medbourne	2008	Thomas Cook
Monte Carlo	Thomas Cook Publishing	2012	Thomas Cook
Strategies for Quasi-Monte Carlo	Bennett L. Fox	1999	Springer US
Handbook for Monte Carlo Methods	Dirk P. Kroese	2011	John Wiley & Sons
Monte Carlo Methods for Electromagnetics	Matthew N.O. Sadiku	2009	Routledge
Monaco and Monte Carlo	Adolphe Smith	1912	J. B. Lipponcott company;Grant Richards, ltd.
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Parallel Importance Separation and Adaptive Monte Carlo Algorithms for Multiple Integrals	Ivan Dimov; Aneta Karaivanova; Rayna Georgieva; Sofiya Ivanovska	Numerical Methods and Applications: 5th International Conference, NMA 2002, Borovets, Bulgaria, August 20-24, 2002, Revised Papers	Ivan Dimov; Ivan Lirkov; Svetozar D. Margenov; Zahari Zlatev	2003	Springer Berlin Heidelberg
Parallel Adaptive Algorithms for Multiple Integrals	Alan Genz	Mathematics for Large Scale Computing	J. C. Díaz	1989	Routledge
Parallel Importance Separation for Multiple Integrals and Integral Equations	Sofiya Ivanovska; Aneta Karaivanova	Computational Science — ICCS 2004: 4th International Conference, Kraków, Poland, June 6–9, 2004, Proceedings, Part IV	Marian Bubak; Geert D. van Albada; Peter M.A. Sloot; Jack Dongarra	2004	Springer Berlin Heidelberg
Some Parallel Monte Carlo Algorithms	G. A. Mikhailov	Parallel Computing Technologies: 6th International Conference, PaCT 2001, Novosibirsk, Russia, September 3-7, 2001 Proceedings	Victor Malyshkin	2001	Springer Berlin Heidelberg
Adaptive Monte Carlo Algorithms for Stopped Diffusion	Anna Dzougoutov; Kyoung-Sook Moon; Erik von Schwerin; Anders Szepessy; Raúl Tempone	Multiscale Methods in Science and Engineering	Björn Engquist; Per Lötstedt; Olof Runborg	2005	Springer Berlin Heidelberg
Monte Carlo Algorithms		Introduction to Cryptography and Network Security	Behrouz A. Forouzan	2008	McGraw-Hill Higher Education
Monte Carlo Algorithms		SPSS Exact Tests 7. 0 for Windows	Cyrus R. Mehta and Nitin R. Patel	1995	Spss
Mixed Monte Carlo Parallel Algorithms for Matrix Computation	Behrouz Fathi; Bo Liu; Vassil Alexandrov	Computational Science — ICCS 2002: International Conference Amsterdam, The Netherlands, April 21–24, 2002 Proceedings, Part II	Peter M.A. Sloot; C.J. Kenneth Tan; Jack J. Dongarra; Alfons G. Hoekstra	2002	Springer Berlin Heidelberg
Parallel Hybrid Monte Carlo Algorithms for Matrix Computations	V. Alexandrov; E. Atanassov; I. Dimov; S. Branford; A. Thandavan; C. Weihrauch	Computational Science -- ICCS 2005: 5th International Conference, Atlanta, GA, USA, May 22-25, 2005, Proceedings, Part III	Vaidy S. Sunderam; Geert Dick Albada; Peter M. A. Sloot; Jack Dongarra	2005	Springer Berlin Heidelberg
Adaptive Monte Carlo Algorithms for General Transport Problems	Jerome Spanier; Rong Kong; Martin Ambrose	Monte Carlo and Quasi-Monte Carlo Methods 2008	Pierre L' Ecuyer; Art B. Owen	2009	Springer Berlin Heidelberg
18. 'Unobserved' Monte Carlo Methods for Adaptive Algorithms	Victor Solo	Modeling uncertainty: an examination of stochastic theory, methods, and applications /	Dror, Moshe.; Lécuyer, Pierre.; Szidarovszky, Ferenc.	[2002], ©2002.	Kluwer Academic Publishers,
Parallel Monte Carlo Algorithms for Sparse SLAE Using MPI	V. Alexandrov; A. Karaivanova	Recent Advances in Parallel Virtual Machine and Message Passing Interface: 6th European PVM/MPI Users' Group Meeting, Barcelona, Spain, September 26-29, 1999, Proceedings	Jack Dongarra; Emilio Luque; Tomas Margalef	1999	Springer Berlin Heidelberg
Parallel Monte Carlo π		The modern C# Challenge	Rod Stephens	2018	Packt
Parallel Quantum Monte Carlo	R. M. Fye	Toward teraflop computing and new grand challenge applications: Proceedings of the Mardi Gras '94 Conference, Louisiana State University, February 10 - 12, 1994 /	Vashishta, P.; Kalia, R. K.	1995.	Nova Science Publishers,
Adaptive Monte Carlo Localization		Effective Robotics Programming with ROS, 3rd Edition	Anil Mahtani, Luis Sanchez, Enrique Fernandez, Aaron Martinez	2016	Packt Publishing
Adaptive Monte Carlo Localization		ROS Programming: Building Powerful Robots	Anil Mahtani et al.	March 2018	Packt Publishing
Kinetic Monte Carlo Algorithms	A. P. J. Jansen	An Introduction to Kinetic Monte Carlo Simulations of Surface Reactions	A.P.J. Jansen	2012	Springer Berlin Heidelberg
F3 Monte Carlo algorithms		Advanced Algorithms and Data Structures	Marcello La Rocca	2021	Manning Publications
Cluster Monte Carlo Algorithms	Werner Krauth	New Optimization Algorithms in Physics	Alexander K. Hartmann	2004	John Wiley & Sons
Efficiency of Quasi-Monte Carlo Algorithms for High Dimensional Integrals	Henryk Woźniakowski	Monte-Carlo and Quasi-Monte Carlo Methods 1998: Proceedings of a Conference held at the Claremont Graduate University, Claremont, California, USA, June 22–26, 1998	Harald Niederreiter; Jerome Spanier	1st ed. 2000	Springer Berlin Heidelberg
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