Dynamic Systems: Modeling, Performance and Applications


Marshall Hines (Editor)

Series: Computational Mathematics and Analysis, Mathematics Research Developments
BISAC: MAT013000

In the first chapter, Dr. Christian Hugo Hoffmann presents a study that adds to the current knowledge on financial risk and complexity while drawing on the concept of organized complexity, coined by Weaver. He finishes by explaining the correlation between the ideas of complexity, randomness, and systemic risks. In the second chapter, Peter A. Stubberud, Stephen C. Stubberud, and Allen R. Stubberud present a signal processing technique, which is a simplification of the dynamic element matching technique, or DEMT and is referred to as the dynamic system matching technique, or DSMT, for controlling the noise signal in the output of a system due to manufacturing errors. In the third and final chapter, Yu Zhou, Weigang Wu, and Huaguan Li define new system models to describe the dynamicity of clusters and then, based on those models, they design and present an algorithm that is able to elect an eventual leader. (Imprint: Nova)

Table of Contents

Table of Contents


Chapter 1. Dealing with Quantitative Risk Management in Banking as a Complex Systems Problem
Christian Hugo Hoffmann

Chapter 2. A Dynamic System Matching Technique
Peter A. Stubberud, Stephen C. Stubberud and Allen R. Stubberud

Chapter 3. A Cluster Based Hierarchical Eventual Leader Election Protocol for Dynamic Systems
Yu Zhou, Weigang Wu, and Huaguan Li


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