It's tough to argue with R as a high-quality, cross-platform, open source statistical software product--unless you're in the business of crunching Big Data. This concise book introduces you to several strategies for using R to analyze large datasets. You'll learn the basics of S…
Learn to solve complex problems with efficient parallel optimization algorithms. This text provides an excellent balance of theory and application that enables readers to deploy powerful algorithms, frameworks, and methodologies to solve complex optimization problems in a divers…
This book constitutes the revised papers of the 14th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2009, which was held in Rome, Italy, in May 2009. The 15 revised papers presented were carefully reviewed and selected from 25 submissions. The…
