Computing and Random Numbers

Computing and Random Numbers examines various aspects of random numbers and variables including an extensive overview of Computing and random numbers. It includes Implementation of Hardware-Accelerated Scalable Parallel Random Number Generators, True-Randomness and Pseudo-Randomness in Ring Oscillator-Based True Random Number Generators, Random Route and Quota Sampling: Do They Offer Any Advantage over Probably Sampling Method and Fuzzy -Means and Cluster Ensemble with Random Projection for Big Data Clustering. Provides the reader with insights into the development of its history, so as to understand the social emotional optimization algorithm with random emotional selection strategy, lymph diseases prediction using random forest and particle swarm optimization, challenges of internal and external variables of consumer behaviour towards mobile.