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This book constitutes the refereed proceedings of the 17th Annual International Conference on Computing and Combinatorics, held in Dallas, TX, USA, in August 2011. The 54 revised full papers presented were carefully reviewed and selected from 136 submissions. Topics covered are algorithms and data structures; algorithmic game theory and online algorithms; automata, languages, logic, and computability; combinatorics related to algorithms and complexity; complexity theory; computational learning theory and knowledge discovery; cryptography, reliability and security, and database theory; computational biology and bioinformatics; computational algebra, geometry, and number theory; graph drawing and information visualization; graph theory, communication networks, and optimization; parallel and distributed computing.
This book focuses on reservoir surveillance and management, reservoir evaluation and dynamic description, reservoir production stimulation and EOR, ultra-tight reservoir, unconventional oil and gas resources technology, oil and gas well production testing, and geomechanics. This book is a compilation of selected papers from the 11th International Field Exploration and Development Conference (IFEDC 2021). The conference not only provides a platform to exchanges experience, but also promotes the development of scientific research in oil & gas exploration and production. The main audience for the work includes reservoir engineer, geological engineer, enterprise managers, senior engineers as well as professional students.
This is the first major study of the conservative or basilectal English creoles of the Anglophone Caribbean since Bailey's (1966) and Bickerton's (1975) descriptions of Jamaican and Guyanese Creole respectively. The book offers a comprehensive, unified treatment of the core areas of CEC predication, including the verb complex, auxiliary ordering, voice and valency, copular and attributive predication, serial verb constructions and complementation. Particularly note-worthy is its utilization of an extremely rich data base and a variety of sources to provide an up-to-date, state of the art account of predicate structures in CEC. The book presents new analyses of several areas of CEC syntax, in...
How can capitalists' motivations during a Communist revolution be reliably documented and fully understood? Up to now, the answer to this question has generally eluded scholars who, for lack of nonofficial sources, have fallen back on Communist governments' official explanations. But the essays in this volume confirm that, at least in the case of the Communist revolution in China, it is finally possible to make new and fresh interpretations. By focusing closely on individuals and probing deeply into their thinking and experience, the authors of these essays have discovered a wide range of reasons for why Chinese capitalists did or did not choose to live and work under communism. The contributors to this volume have all concentrated on the dilemma for capitalists in China's Communist revolution. But their approach to their subject through archival research and rigorous analysis may also serve as a guide for future thinking about a variety of other historical figures. This approach is well worth adopting to explain how any members of society (not only capitalists) have resolved comparable dilemmas in all revolutions—the ones in China, Russia, Vietnam, Cuba, or anywhere else.
This book constitutes the proceedings of the 10th Latin American Symposium on Theoretical Informatics, LATIN 2012, held in Arequipa, Peru, in April 2012. The 55 papers presented in this volume were carefully reviewed and selected from 153 submissions. The papers address a variety of topics in theoretical computer science with a certain focus on algorithms, automata theory and formal languages, coding theory and data compression, algorithmic graph theory and combinatorics, complexity theory, computational algebra, computational biology, computational geometry, computational number theory, cryptography, theoretical aspects of databases and information retrieval, data structures, networks, logic in computer science, machine learning, mathematical programming, parallel and distributed computing, pattern matching, quantum computing and random structures.