This book represents the refereed proceedings of the Tenth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at the University of New South Wales (Australia) in February 2012. These biennial conferences are major events for Monte Carlo and the premiere event for quasi-Monte Carlo research. 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. The reader will be provided with information on latest developments in these very active areas. The book is an excellent reference for theoreticians and practitioners interested in solving high-dimensional computational problems arising, in particular, in finance, statistics and computer graphics.Drew, S.S., Homem-de-Mello, T.: Quasi-Monte Carlo strategies for stochastic optimization. ... Homem-de-Mello, T.: On rates of convergence for stochastic optimization problems under non-i.i.d. sampling. ... J. Complexity 18, 171a186 ( 2002) Pennanen, T., Koivu, M.: Epi-convergent discretizations of stochastic programs viaanbsp;...
|Title||:||Monte Carlo and Quasi-Monte Carlo Methods 2012|
|Author||:||Josef Dick, Frances Y. Kuo, Gareth W. Peters, Ian H. Sloan|
|Publisher||:||Springer Science & Business Media - 2013-12-05|