Abdol S. Soofi – författare

Nanostructured materials have at least one dimension in the nanometer range. They have become a very active research area in solid state physics and chemistry with anticipated applications in various domains, including solar cells, electronics, batteries and sensors. Nanocrystalline metals and oxides are dense polycrystalline solids with a mean grain size below 100 nm. This book is intended to give an overview on selected properties and applications of nanocrystalline metals and oxides. The first three chapters provide a theoretical treatment of thermodynamics and atom/ion transport for nanocrystalline materials. The following chapters express views on the development of experimental characterization techniques for nanocrystalline solids with emphasis on electroceramic materials. This book should be of interest to chemists, physicists and materials scientists.

The contributors to this volume assert that dynamical systems theory and related nonlinear methods have had a major impact on the analysis of time series data from complex systems. Contemporary developments in mathematical methods of state-space reconstruction, time-delay embedding and surrogate data analysis, coupled with readily accessible and powerful computational facilities used in gathering and processing massive quantities of high-frequency data, have provided theorists and practitioners with opportunities for exploratory data analysis, modelling, forecasting and control. This book brings together an accessible set of chapters that deal with the application of nonlinear dynamics and associated algorithms to the study of economies and markets as complex systems. To make such methods readily useful in practice, the contributors have agreed to make available to readers upon request all computer programs used to implement the methods discussed in their respective chapters.

This book examines the policies, conducts, and performances of organizations tasked with developing medium and high technologies in Iran.

This book examines the policies, conducts, and performances of organizations tasked with developing medium and high technologies in Iran.

Modelling and Forecasting Financial Data brings together a coherent and accessible set of chapters on recent research results on this topic. To make such methods readily useful in practice, the contributors to this volume have agreed to make available to readers upon request all computer programs used to implement the methods discussed in their respective chapters. Modelling and Forecasting Financial Data is a valuable resource for researchers and graduate students studying complex systems in finance, biology, and physics, as well as those applying such methods to nonlinear time series analysis and signal processing.