This volume represents the refereed proceedings of the Fourth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing (MCQMC 2000) which was held at Hong Kong Baptist Uni versity from November 27 to December 1, 2000. The program of this con ference was arranged by a committee consisting of Kurt Binder (Univer sitat Mainz), Kai-Tai Fang (Hong Kong Baptist University, co-chair), Rus sel Caflisch (University of California at Los Angeles), George S. Fishman (University of North Carolina), Masanori Fushimi (Nanzan University), Paul Glasserman (Columbia University), Fred J. Hickernell (Hong Kong Baptist University), Pierre L'Ecuyer (Universite de Montreal), Harald Niederreiter (National University of Singapore, co-chair), Art B. Owen (Stanford Univer sity), Ian H. Sloan (University of New South Wales), Jerome Spanier (Clare mont Graduate University), Yuan Wang (Chinese Academy of Sciences), and Henryk Wozniakowski (Columbia University and University of Warsaw). The local arrangements were in the hands of an organizing committee compris ing Wai-Yan Cheng (City University of Hong Kong), Kai-Tai Fang (Hong Kong Baptist University, co-chair), Minggao Gu (Chinese University of Hong Kong), Fred J. Hickernell (Hong Kong Baptist University, co-chair) , Irwin King (Chinese University of Hong Kong), Yue-Kuen Kwok (Hong Kong Uni versity of Science and Technology), Li-Zhi Liao (Hong Kong Baptist Univer sity), and Lei-Han Tang (Hong Kong Baptist University).
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This book represents the refereed proceedings of the Fourth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing which was held at Hong Kong Baptist University in 2000. An important feature are invited surveys of the state-of-the-art in key areas such as multidimensional numerical integration, low-discrepancy point sets, random number generation, and applications of Monte Carlo and quasi-Monte Carlo methods. These proceedings include also carefully selected contributed papers on all aspects of Monte Carlo and quasi-Monte Carlo methods. The reader will be informed about current research in this very active field.
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