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Macro Federalism and Local Finance
The design of a federal system to deal with growth, stabilization, and regional and local development issues is the primary concern of this volume, edited by Anwar Shah. The book provides analytical tools to address issues arising from globalization, localization, and regional integration. It discusses tax harmonization issues associated with subnational value added tax administration. It provides a framework for fiscal discipline in a federal system. Lessons from international experiences from policies to deal with lagging regions are drawn. The book empirically examines the effect of fiscal decentralization on the overall size of the public sector. Finally, it draws lessons from industrial...
Subnational Debt Management and Restructuring
In the aftermath of the global financial crisis, policymakers around the world are focusing once again on government debt sustainability. In China, subnational government debt is an important part of total government debt, and therefore deserves the attention that policymakers have paid to the topic. Subnational debt has played an important role in financing China’s impressive infrastructure that is the envy of the world. It was instrumental in the economic stimulus that China so effectively staged after the global financial crisis, through which China maintained high levels of economic activity. This e-book reports on the proceedings of a joint P.R. China Ministry of Finance-World Bank in...
Biometric Recognition
This book constitutes the refereed proceedings of the 6th Chinese Conference on Biometric Recognition, CCBR 2011, held in Beijing, China in December 2011. The 35 revised full papers were carefully reviewed and selected from 71 submissions. The papers are organized in topical sections on problems in face; iris; hand biometrics; speaker; handwriting; gait; behavioral and soft biometrics; and security.
Handbook of AI-based Metaheuristics
At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to artificial intelligence (AI)-based, nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms. This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains.
