This book focuses on bifurcation and stability in nonlinear discrete systems, including monotonic and oscillatory stability. It presents the local monotonic and oscillatory stability and bifurcation of period-1 fixed-points on a specific eigenvector direction, and discusses the …
This book features selected manuscripts presented at ICoNSoM 2019, exploring cutting-edge methods for developing novel models in nonlinear solid mechanics. Innovative methods like additive manufacturing--for example, 3D printing-- and miniaturization mean that engineers need mor…
Problem Solving In Operation Management
This volume examines problem solving and applied systems aimed at improving performance and management of organizations. The book's eight chapters are integrated into two parts: methodologies and techniques that discuss complex dynamic analysis of the organizations, participativ…
Pseudo-random sequences are a crucial component of cryptography, particularly in stream cipher design. In this thesis we will investigate several measures of randomness for certain classes of finitely generated sequences. We will present a heuristic algorithm for calculating the…
This book illustrates how modern mathematical wavelet transform techniques offer fresh insights into the complex behavior of neural systems at different levels: from the microscopic dynamics of individual cells to the macroscopic behavior of large neural networks. It also demons…
This book illustrates how modern mathematical wavelet transform techniques offer fresh insights into the complex behavior of neural systems at different levels: from the microscopic dynamics of individual cells to the macroscopic behavior of large neural networks. It also demons…
This book systematically presents a fundamental theory for the local analysis of bifurcation and stability of equilibriums in nonlinear dynamical systems. Until now, one does not have any efficient way to investigate stability and bifurcation of dynamical systems with higher-ord…
In diesem Buch wird eine erste Generation von künstlichen Hirnen für das Sehen vorgestellt. Auf der ausschlie"slichen Grundlage von Neuron- und Synapsenmodellen wird ein Objekterkennungssystem konstruiert, welches eine Merkmalspyramide mit 8 Orientierungen und 5 Auflösungsskalen…