Computing and Random numbers

Cover Half Title Page Title Page Copyright Page Declaration About the Editor Table of Contents List of Contributors List of Abbreviations Preface SECTION I RANDOM NUMBER GENERATORS Chapter 1 Implementation of Hardware-Accelerated Scalable Parallel Random Number Generators Abstract Introduction Implementation Results Conclusions Acknowledgments References Chapter 2 A Hardware Efficient Random Number Generator for Nonuniform Distributions with Arbitrary Precision Abstract Introduction Related Work The Inversion Method Generating Floating Point Random Numbers Synthesis Results and Quality TestConclusion Acknowledgment References Chapter 3 True-Randomness and Pseudo-Randomness in Ring Oscillator-Based True Random Number Generators Abstract Introduction Ring Oscillators and Timing Jitter Simulation and Experimental Setup Comparison of The Generators' Behavior In Simulations and In Hardware Impact of The Size and Type of The Jitter on The Quality of The Raw Bit-Stream Mutual Dependence of Rings and Its Impact on The Quality of The Raw Bit-Stream Discussion Conclusions References Chapter 4 Random Numbers Generated from Audio and Video SourcesAbstract Introduction Related Works The Proposed Scheme: AVRNG With Filter Conclusions References SECTION II RANDOM VARIABLES TECHNIQUES Chapter 5 Distribution of the Maximum and Minimum of a Random Number of Bounded Random Variables Abstract Introduction Standard Uniform Geometric (SUG) Model The Correlated Standard Uniform Geometric (CSUG) Model Parameter Estimation A Summary of Some Other Models Conclusion Acknowledgements References Chapter 6 Random Route and Quota Sampling: Do They Offer any Advantage over Probably Sampling Methods?Abstract Introduction Distribution Comparison Discussion Conclusion References Chapter 7 Equivalent Conditions of Complete Convergence for Weighted Sums of Sequences of Negatively Dependent Random Variables Abstract Introduction Main Results Proofs of The Main Results Acknowledgments References Chapter 8 Strong Laws of Large Numbers for Fuzzy Set-Valued Random Variables in Ga Space Abstract Introduction Preliminaries on Set-Valued Random Variables Main Results AcknowledgementsReferences SECTION III COMPUTING APPLICATIONS WITH RANDOM VARIABLES Chapter 9 Comparison of Multiple Random Walks Strategies for Searching Networks Abstract Introduction Single Random Walks on Networks Multiple Random Walks on Networks Simulations And Discussions Conclusions Acknowledgments References Chapter 10 Fuzzy C-Means and Cluster Ensemble with Random Projection for Big Data Clustering Abstract Introduction Preliminaries Random Projection Fcm Clustering With Random Projection and an Efficient Cluster Ensemble Approach Experiments

Computing and random numbers examines various aspects of random numbers and variablesincluding an extensive overview of Computing and random numbers. It includesImplementation of Hardware-Accelerated Scalable Parallel Random Number Generators, True-Randomness and Pseudo-Randomness in Ring Oscillator-Based True Random NumberGenerators, Random Route and Quota Sampling: Do They Offer Any Advantage overProbably Sampling Method and Fuzzy -Means and Cluster Ensemble with Random Projectionfor Big Data Clustering. It provides the reader with insights into the developmentof its history, so as to understand the social emotional optimization algorithm with randomemotional selection strategy, lymph diseases prediction using random forest and particleswarm optimization, challenges of internal and external variables of consumer behaviourtowards mobile.