Identifies three stages on the path to greatness or success while examining the key characteristics and disciplines that lead to personal and professional accomplishment.
Dimitrios Dendrinos, an expert in the application of non-linear dynamics and chaos theory to the subject of urban and regional dynamics, focuses here on fundamental issues in population growth and decline. He approaches the topic of urban growth and decline within a global system perspective, viewing the rise and fall of cities, industries and nations as the result of global interdependencies which lead to unstable dynamics and widespread dualisms. Professor Dendrinos provides valuable insights into the evolution of human settlements and considers the possible futures open to the giant cities of the world.
Ever since Adam Smith, economists have been preoccupied with the puzzle of economic growth. The standard mainstream models of economic growth were and often still are based either on assumptions of diminishing returns on capital with technological innovation or on endogenous dynamics combined with a corresponding technological and institutional setting. An alternative model of economic growth emerged from the Cambridge School of Keynesian economists in the 1950s and 1960s. This model - developed mainly by Luigi Pasinetti - emphasizes the importance of demand, human learning and the growth dynamics of industrial systems. Finally, in the past decade, new mainstream models have emerged incorporating technology or demand-based structural change and extending the notion of balanced growth. This collection of essays reassesses Pasinetti's theory of structural dynamics in the context of these recent developments, with contributions from economists writing in both the mainstream and the Cambridge Keynesian traditions and including Luigi Pasinetti, William Baumol, Geoffrey Harcourt and Nobel laureate Robert Solow.
This innovative volume presents a comprehensive appraisal of John Hicks' Capital and Time (1973) thirty years on from its original publication. Contributors include Walter Eltis, Heinz Kurz and Maghnad Desai.
This book collects important contributions in behavioral economics and related topics, mainly by Japanese researchers, to provide new perspectives for the future development of economics and behavioral economics. The volume focuses especially on economic studies that examine interactions of multiple agents and/or market phenomena by using behavioral economics models. Reflecting the diverse fields of the editors, the book captures broad influences of behavioral economics on various topics in economics. Those subjects include parental altruism, economic growth and development, the relative and permanent income hypotheses, wealth distribution, asset price bubbles, auctions, search, contracts, personnel management and market efficiency and anomalies in financial markets. The chapter authors have added newly written addenda to the original articles in which they address their own subsequent works, supplementary analyses, detailed information on the underlying data and/or recent literature surveys. This will help readers to further understand recent developments in behavioral economics and related research.
This book presents a variety of computational methods used to solve dynamic problems in economics and finance. It emphasizes practical numerical methods rather than mathematical proofs and focuses on techniques that apply directly to economic analyses. The examples are drawn from a wide range of subspecialties of economics and finance, with particular emphasis on problems in agricultural and resource economics, macroeconomics, and finance. The book also provides an extensive Web-site library of computer utilities and demonstration programs. The book is divided into two parts. The first part develops basic numerical methods, including linear and nonlinear equation methods, complementarity methods, finite-dimensional optimization, numerical integration and differentiation, and function approximation. The second part presents methods for solving dynamic stochastic models in economics and finance, including dynamic programming, rational expectations, and arbitrage pricing models in discrete and continuous time. The book uses MATLAB to illustrate the algorithms and includes a utilities toolbox to help readers develop their own computational economics applications.
Dynamic Routing in Broadband Networks focuses on routing in broadband networks based on MPLS (Multiprotocol Label Switching) and ATM (Asynchronous Transfer Mode). The routing methods are based on the theory of Markov decision processes which forms a very accurate framework for on-line route optimization. The author shows the issue of performance optimization and scalability with respect to dynamic routing of logical connections in broadband networks. The methods used are applicable to routing virtual path connections (VPC) and virtual channel connections (VCC) in ATM networks as well as label switched paths (LSP) in MPLS networks. Simulation results and a performance comparison with reference routing are given for the different schemes.
Term indexing supports the construction of efficient automated reasoning systems, as e.g. automated theorem provers, by allowing rapid access to first order predicate calculus terms with specific properties. This monograph provides a comprehensive, well-written survey on term indexing in general and presents new indexing techniques for the retrieval and maintenance of data that help to overcome program degradation in automated reasoning systems. Theoretical foundations and applicational aspects are treated in detail; finally the PURR prover for parallel unit resulting resolution is discussed to demonstrate the importance of careful implementations.