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The Recursive Frontier is an innovative spatial history of both the literature of Los Angeles and the city itself in the mid-twentieth century. Setting canonical texts alongside underexamined works and sources such as census bulletins and regional planning documents, Michael Docherty identifies the American frontier as the defining dynamic of Los Angeles fiction from the 1930s to the 1950s. Contrary to the received wisdom that Depression-era narratives mourn the frontier's demise, Docherty argues that the frontier lives on as a cruel set of rules for survival in urban modernity, governing how texts figure race, space, mobility, and masculinity. Moving from dancehalls to offices to oil fields and beyond, the book provides a richer, more diverse picture of LA's literary production during this period, as well as a vivid account of LA's cultural and social development as it transformed into the multiethnic megalopolis we know today.
Frontier Assemblages offers a new framework for thinking about resource frontiers in Asia Presents an empirical understanding of resource frontiers and provides tools for broader engagements and linkages Filled with rich ethnographic and historical case studies and contains contributions from noted scholars in the field Explores the political ecology of extraction, expansion and production in marginal spaces in Asia Maps the flows, frictions, interests and imaginations that accumulate in Asia to transformative effect Brings together noted anthropologists, geographers and sociologists
​ The goal of this book is to assess the efficacy of India’s financial deregulation programme by analyzing the developments in cost efficiency and total factor productivity growth across different ownership types and size classes in the banking sector over the post-deregulation years. The work also gauges the impact of inclusion or exclusion of a proxy for non-traditional activities on the cost efficiency estimates for Indian banks, and ranking of distinct ownership groups. It also investigates the hitherto neglected aspect of the nature of returns-to-scale in the Indian banking industry. In addition, the work explores the key bank-specific factors that explain the inter-bank variations in efficiency and productivity growth. Overall, the empirical results of this work allow us to ascertain whether the gradualist approach to reforming the banking system in a developing economy like India has yielded the most significant policy goal of achieving efficiency and productivity gains. The authors believe that the findings of this book could give useful policy directions and suggestions to other developing economies that have embarked on a deregulation path or are contemplating doing so.
The January 2016 edition of Global Economic Prospects discusses current global and regional economic developments and prospects, analyzing key challenges and opportunities confronting developing countries. This volume addresses, among other topics, spillovers from large emerging markets and macroeconomic vulnerabilities during resource development. Global Economic Prospects is a World Bank Group Flagship Report. Semiannually (January and June), it examines global economic developments and prospects, with a special focus on developing countries. The report includes analysis of topical policy challenges faced by developing countries through in-depth research in the January edition and shorter analytical pieces in the June edition.
This entirely revised second edition of Engineering a Compiler is full of technical updates and new material covering the latest developments in compiler technology. In this comprehensive text you will learn important techniques for constructing a modern compiler. Leading educators and researchers Keith Cooper and Linda Torczon combine basic principles with pragmatic insights from their experience building state-of-the-art compilers. They will help you fully understand important techniques such as compilation of imperative and object-oriented languages, construction of static single assignment forms, instruction scheduling, and graph-coloring register allocation. - In-depth treatment of algorithms and techniques used in the front end of a modern compiler - Focus on code optimization and code generation, the primary areas of recent research and development - Improvements in presentation including conceptual overviews for each chapter, summaries and review questions for sections, and prominent placement of definitions for new terms - Examples drawn from several different programming languages
This book constitutes revised selected papers from the five workshops collocated with the 15th International Conference on Software Engineering and Formal Methods, SEFM 2017. The 38 papers presented in this volume were carefully reviewed and selected from a total of 55 submissions. They stem from the following workshops: DataMod 2017 -- 6th International Symposium “From Data to Models and Back"; FAACS 2017 -- 1st Workshop on Formal Approaches for Advanced Computing Systems; MSE 2017 -- 1st Workshop on Microservices: Science and Engineering; CoSim-CPS 2017 -- 1st Workshop on Formal Co-Simulation of Cyber-Physical Systems; FOCLASA 2017 -- 15th International Workshop on Foundations Of Coordination Languages and Self-Adaptive Systems​.
In today's globalized economy, banking is of international importance. This book interrogates important issues, including reform in China, electronic money and loan pricing. Highlighting key policy and research, it provides insight into contemporary global banking trends and assesses the impact of new technology for future industry development.
This book constitutes the proceedings of the 23rd International Symposium on Fundamentals of Computation Theory, FCT 2021, held in Athens, Greece, in September 2021. The 30 full papers included in this volume were carefully reviewed and selected from 94 submissions. In addition, the book contains 2 invited talks. The papers cover topics of all aspects of theoretical computer science, in particular algorithms, complexity, formal and logical methods.
Artificial intelligence, or AI, now affects the day-to-day life of almost everyone on the planet, and continues to be a perennial hot topic in the news. This book presents the proceedings of ECAI 2023, the 26th European Conference on Artificial Intelligence, and of PAIS 2023, the 12th Conference on Prestigious Applications of Intelligent Systems, held from 30 September to 4 October 2023 and on 3 October 2023 respectively in Kraków, Poland. Since 1974, ECAI has been the premier venue for presenting AI research in Europe, and this annual conference has become the place for researchers and practitioners of AI to discuss the latest trends and challenges in all subfields of AI, and to demonstrate innovative applications and uses of advanced AI technology. ECAI 2023 received 1896 submissions – a record number – of which 1691 were retained for review, ultimately resulting in an acceptance rate of 23%. The 390 papers included here, cover topics including machine learning, natural language processing, multi agent systems, and vision and knowledge representation and reasoning. PAIS 2023 received 17 submissions, of which 10 were accepted after a rigorous review process. Those 10 papers cover topics ranging from fostering better working environments, behavior modeling and citizen science to large language models and neuro-symbolic applications, and are also included here. Presenting a comprehensive overview of current research and developments in AI, the book will be of interest to all those working in the field.
Parallelism is the key to achieving high performance in computing. However, writing efficient and scalable parallel programs is notoriously difficult, and often requires significant expertise. To address this challenge, it is crucial to provide programmers with high-level tools to enable them to develop solutions easily, and at the same time emphasize the theoretical and practical aspects of algorithm design to allow the solutions developed to run efficiently under many different settings. This thesis addresses this challenge using a three-pronged approach consisting of the design of shared-memory programming techniques, frameworks, and algorithms for important problems in computing. The thesis provides evidence that with appropriate programming techniques, frameworks, and algorithms, shared-memory programs can be simple, fast, and scalable, both in theory and in practice. The results developed in this thesis serve to ease the transition into the multicore era. The first part of this thesis introduces tools and techniques for deterministic parallel programming, including means for encapsulating nondeterminism via powerful commutative building blocks, as well as a novel framework for executing sequential iterative loops in parallel, which lead to deterministic parallel algorithms that are efficient both in theory and in practice. The second part of this thesis introduces Ligra, the first high-level shared memory framework for parallel graph traversal algorithms. The framework allows programmers to express graph traversal algorithms using very short and concise code, delivers performance competitive with that of highly-optimized code, and is up to orders of magnitude faster than existing systems designed for distributed memory. This part of the thesis also introduces Ligra+, which extends Ligra with graph compression techniques to reduce space usage and improve parallel performance at the same time, and is also the first graph processing system to support in-memory graph compression. The third and fourth parts of this thesis bridge the gap between theory and practice in parallel algorithm design by introducing the first algorithms for a variety of important problems on graphs and strings that are efficient both in theory and in practice. For example, the thesis develops the first linear-work and polylogarithmic-depth algorithms for suffix tree construction and graph connectivity that are also practical, as well as a work-efficient, polylogarithmic-depth, and cache-efficient shared-memory algorithm for triangle computations that achieves a 2–5x speedup over the best existing algorithms on 40 cores. This is a revised version of the thesis that won the 2015 ACM Doctoral Dissertation Award.