Fred J. Hickernell – författare

The contributions by leading experts in this book focus on a variety of topics of current interest related to information-based complexity, ranging from function approximation, numerical integration, numerical methods for the sphere, and algorithms with random information, to Bayesian probabilistic numerical methods and numerical methods for stochastic differential equations.

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).