This book analyzes stochastic processes on networks and regular structures such as lattices by employing the Markovian random walk approach. Part 1 is devoted to the study of local and non-local random walks. It shows how non-local random walk strategies can be defined by functions of the Laplacian matrix that maintain the stochasticity of the transition probabilities. A major result is that only two types of functions are admissible: type (i) functions generate asymptotically local walks with the emergence of Brownian motion, whereas type (ii) functions generate asymptotically scale-free non-local “fractional” walks with the emergence of Lévy flights. In Part 2, fractional dynamics and Lévy flight behavior are analyzed thoroughly, and a generalization of Pólya's classical recurrence theorem is developed for fractional walks. The authors analyze primary fractional walk characteristics such as the mean occupation time, the mean first passage time, the fractal scaling of the set of distinct nodes visited, etc. The results show the improved search capacities of fractional dynamics on networks.
This book introduces the new experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. It develops and applies statistical techniques to analyze and compare modern search heuristics such as evolutionary algorithms and particle swarm optimization. The book bridges the gap between theory and experiment by providing a self-contained experimental methodology and many examples.
Transportation systems in buildings are part of everyday life: whether ferrying people twenty storeys up to the office or moving luggage at the airport, 21st-century society relies on them. This book presents the latest in analysis and control of transportation systems in buildings focusing primarily on elevator groups. The theory and design of passenger and cargo transport systems are covered, with operational examples and topics of special interest.
The revised and fully updated second edition of this textbook illustrates the multi-layered knowledge accumulated in the field of international human resource management, developing understanding of the strategic management of people in organizations in a global context. It integrates comparative approaches to human resource management, extending beyond traditional coverage of the field to provide a broader overview of contemporary cultural, institutional and organizational challenges.
Essentials of International Human Resource Management: Managing People Globally, by David C. Thomas and Mila B. Lazarova, provides concise coverage of key HRM concepts, balancing comparative approaches and US and non-US schools of thought. Not limited to the multinational firm, this book reflects the most current knowledge in the field and considers all types of organizations embedded in the global context. Chapter-opening vignettes (short cases) exemplify the chapter’s core topics and show readers how chapter content can be applied. Extensive references make it easy for readers to explore concepts in more depth.
Renowned international experts Peter B. Smith, Mark F. Peterson, and David C. Thomas, editors of the The Handbook of Cross-Cultural Management, have drawn together scholars in the field of management from around the world to contribute vital information from their cross-national studies to this innovative, comprehensive tome. Chapters explore links between people and organizations, providing useful cultural perspectives on the most significant topics in the field of organizational behavior—such as motivation, human resource management, and leadership —and answering many of the field′s most controversial methodological questions. Key Features Presents innovative perspectives on the cultural context of organizations: In addition to straightforward coverage of structures and processes, this Handbook addresses locally distinctive, indigenous views of organizational processes from around the world and considers the interplay of climate and wealth when analyzing how organizations operate. Offers an integrated theoretical framework: At the start of each substantive section, the Editors provide context for the upcoming chapters by discussing how prevalent cultures in different parts of the world place emphasis on particular aspects of organizational processes and outcomes. Boasts a global group of contributing scholars: This Handbook features contributing authors from around the world who represent an outstanding mix of respected, long-standing scholars in cross-cultural management as well as newer names already impacting the literature. Provides an authoritative agenda for the future development of the field: All chapters conclude with a list of promising avenues for further research and a focus on issues that remain unresolved. Intended Audience This Handbook is an ideal resource for researchers, instructors, professionals, and graduate students in fields of business, management, and psychology.
This book analyzes stochastic processes on networks and regular structures such as lattices by employing the Markovian random walk approach. Part 1 is devoted to the study of local and non-local random walks. It shows how non-local random walk strategies can be defined by functions of the Laplacian matrix that maintain the stochasticity of the transition probabilities. A major result is that only two types of functions are admissible: type (i) functions generate asymptotically local walks with the emergence of Brownian motion, whereas type (ii) functions generate asymptotically scale-free non-local “fractional” walks with the emergence of Lévy flights. In Part 2, fractional dynamics and Lévy flight behavior are analyzed thoroughly, and a generalization of Pólya's classical recurrence theorem is developed for fractional walks. The authors analyze primary fractional walk characteristics such as the mean occupation time, the mean first passage time, the fractal scaling of the set of distinct nodes visited, etc. The results show the improved search capacities of fractional dynamics on networks.
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