{ "item_title" : "Monte Carlo Strategies in Scientific Computing", "item_author" : [" Jun S. Liu "], "item_description" : "A large number of scientists and engineers use Monte Carlo simulation as an essential tool in their work. This paperback edition (a reprint of the 2001 Springer edition) provides an up-to-date and self-contained summary of recent research results. Given the interdisciplinary nature of the topics and a moderate prerequisite for the reader, this book should be of interest to a broad audience of quantitative researchers such as computational biologists, computer scientists, econometricians, engineers, probabilists, and statisticians. It can also be used as a textbook for a graduate-level course on Monte Carlo methods. Many problems discussed in the later chapters can be potential thesis topics for masters' or Ph.D. students in statistics or computer science departments.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/38/776/369/0387763694_b.jpg", "price_data" : { "retail_price" : "199.00", "online_price" : "199.00", "our_price" : "199.00", "club_price" : "199.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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