Clusters as mesoscopic particles represent an intermediate state of matter between single atoms and solid material. The tendency to miniaturise technical objects requires knowledge about systems which contain a "small" number of atoms or molecules only. This is all the more true for dynamical aspects, particularly in relation to the qick development of laser technology and femtosecond spectroscopy. Here, for the first time is a highly qualitative introduction to cluster physics. With its emphasis on cluster dynamics, this will be vital to everyone involved in this interdisciplinary subject. The authors cover the dynamics of clusters on a broad level, including recent developments of femtosecond laser spectroscopy on the one hand and time-dependent density functional theory calculations on the other.

This book studies the determinants of cluster survival by analyzing their adaptability to change in the economic environment. Linking theoretic knowledge with empirical observations, a simulation model (based in the N/K method) is developed, which explains when and why the cluster's architecture assists or hampers adaptability. It is found that architectures with intermediate degrees of division of labor and more collective governance forms foster adaptability.

Filling the need for a solid textbook, this short primer in cluster science is ideal for a one-semester lecture for advanced undergraduate students. It is based on a series of lectures given by the well-established and recognized authors for the past ten years. The book covers both the basics of the domain as well as up-to-date developments. It can be divided roughly into two parts. The first three chapters introduce basic concepts of cluster science. Chapter 1 provides a general introduction, complemented by chapter 2 on experimental and chapter 3 on theoretical aspects. The second half of the book is devoted to a systematic presentation of free cluster properties, and to a thorough discussion of the impact of clusters in other domains of science. These explicitly worked-out links between cluster physics and other research areas are unique both in terms of fundamental aspects and of applications, and cannot be found elsewhere in the literature. Also suitable for researchers outside of the field looking for an introduction to cluster science.

This volume contains the proceedings of the international conference "Complexity and Industrial Clusters: Dynamics and Models in Theory and Practice", organized by Fondazione Comunita e Innovazione and held in Milan on June 19 and 20, 2001 under the aegis of the Accademia Nazionale dei Lincei (founded in Rome in 1604), one of the oldest and most famous national academies of science in the world. Fondazione Comunita e Innovazione encourages research and the dissemination of knowledge about social, economic, cultural and civil issues. It promotes research and innovation related to local production systems and industrial districts, with special reference to: the interactions between large companies and SMEs (small and medium-size enterprises), the effects of industrial districts on the development and welfare of their communities and of neighbouring areas, the effects of globalisation on these local systems of productions. Fondazione Comunita e Innovazione was created in Milan in 1999. It supports studies, publications, and events, both on its own and in cooperation with corporations, research institutes, foundations, associations and universities. It also grants scientific sponsorship to research that is in line with its mission, as set forth in its by-laws. The founding member of the Fondazione is Edison (formerly Monted:son). The other subscribing members, in historical order, are: Ausimont, Tecnimont, Eridania, Accenture, and PricewaterhouseCoopers.

Partitioning around medoids (Program PAM). Clustering large applications (Program CLARA). Fuzzy analysis (Program FANNY). Agglomerative Nesting (Program AGNES). Divisive analysis (Program DIANA). Monothetic analysis (Program MONA). Appendix.

This comprehensive collection of lectures by leading experts in the field introduces and reviews all relevant computer simulation methods and their applications in condensed matter systems. Volume 1 is an in-depth introduction to a vast spectrum of computational techniques for statistical mechanical systems of condensed matter. Volume 2 is a collection of state-of-the-art surveys on numerical experiments carried out for a great number of systems.

One of the world's most distinguished astrophysicists presents a comprehensive theoretical treatment of the dynamical evolution of globular clusters. Lyman Spitzer's research in this field established the framework for decades of investigation. Now he summarizes in a unified, systematic way this branch of theoretical astrophysics with its still challenging problems. Originally published in 1988. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

- The first book covering a broad range of physical and chemical problems of atomic cluster physics in the context of physics of atomic and molecular collisions bull; Contains contributions from leading experts in the field bull; Considers both free and supported cluster systems bull; Provides both a general introduction to the field and describes its very recent developments -- ideal for graduate and post-graduate students new to the area as well as specialists in atomic cluster physics bull; Useful for comprehensive lecture courses in quantum mechanics, condensed matter physics and other courses in which complex finite systems like atoic clusters are relevant

This book analyses the effectiveness of policies adopted in cluster promotion, using complexity thinking and evolutionary economic geography approaches. It studies cluster dynamics in transition economies, exploring the case of Albania. In developing countries, the ‘model’ of the developed countries, is often seen as the endpoint of a trajectory that must be followed meticulously, implying a view on modernization as a linear and uniform process. They tend to import policies from these ‘success models’ showing minimal regard to their context and institutional capabilities; therefore, more often than not, such policies show little effectiveness. This research on cluster policies in Albania confirms this. It suggests that in Albania there is a need to revise the way of thinking about clusters, considering them first and foremost as relational networks, instead of physically bound industrial districts. While there is questioning of top-down policies and the national innovation systems prerogative, the suggested model by this research, in line with some of the most recent policy frameworks, advocates the need for flexibility, bottom-up initiatives and place-based approaches. By means of conclusion, the book comes up with an alternative model of territorial policies for cluster development, shifting from ‘static’ towards ‘dynamic’ planning.

INTRODUCTION TO AEROSOL MODELLING Introduction to Aerosol Modelling: From Theory to Code An aerosol particle is defined as a solid or liquid particle suspended in a carrier gas. Whilst we often treat scientific challenges in a siloed way, aerosol particles are of interest across many disciplines. For example, atmospheric aerosol particles are key determinants of air quality and climate change. Knowledge of aerosol physics and generation mechanisms is key to efficient fuel delivery and drug delivery to the lungs. Likewise, various manufacturing processes require optimal generation, delivery and removal of aerosol particles in a range of conditions. There is a natural tendency for the aerosol scientist to therefore work at the interface of the traditional academic subjects of physics, chemistry, biology, mathematics and computing. The impacts that aerosol particles have are linked to their evolving chemical and physical characteristics. Likewise, the chemical and physical characteristic of aerosol particles reflect their sources and subsequent processes they have been subject to. Computational models are not only essential for constructing evidence-based understanding of important aerosol processes, but also to predict change and impact. Whilst existing textbooks provide an overview of theoretical frameworks on which aerosol models are based, there is a significant gap in reference material that provide training in translating theory into code. The purpose of this book is to provide readers with exactly that. In following the content provided in this book, you will be able to reproduce models of key processes that can either be used in isolation or brought together to construct a demonstrator 0D box-model of a coupled gaseous-particulate system. You may be reading this book as an undergraduate, postgraduate, seasoned researcher in the private/public sector or as someone who wishes to better understand the pathways to aerosol model development. Wherever you position yourself, it is hoped that the tools you will learn through this book will provide you with the basis to develop your own platforms and to ensure the next generation of aerosol modellers are equipped with foundational skills to address future challenges in aerosol science.