In this introduction to understanding, researching and doing case studies in the social sciences, Hamel outlines several differing traditions of case study research including the Chicago School of Sociology, the anthropological case studies of Malinowski, and the French La Play school tradition. He shows how each developed, changed and has been practiced over time. Suggestions for the practice of case studies are made for the novice reader and an additional feature is the extensive bibliography on case study methods in social science to allow for further exploration of the topic.
In this introduction to understanding, researching and doing case studies in the social sciences, Hamel outlines several differing traditions of case study research including the Chicago School of Sociology, the anthropological case studies of Malinowski, and the French La Play school tradition. He shows how each developed, changed and has been practiced over time. Suggestions for the practice of case studies are made for the novice reader and an additional feature is the extensive bibliography on case study methods in social science to allow for further exploration of the topic.
Understanding and managing damage and cracking in concrete is essential to ensuring the integrity and durability of civil engineering structures. Both theoretical and practical, this book presents a comprehensive approach to these problems by proposing models and numerical modeling strategies that are treated in a manner that is both simplified and efficient. It proposes a wide variety of applications that are derived from research programs and engineering cases. This book also addresses many situations, such as monotonic or cyclic behavior, seismic responses, a description of fast dynamic situations and effects due to the maturation of concrete at an early age in massive structures. Numerous detailed exercises are provided to help students to understand modeling and calculation techniques. Damage and Cracking of Concrete Structures is indeed intended for students, but also for engineers and researchers in the field of mechanics of materials and structures and, more generally, in civil engineering.
It is in the intellectual context of the new possibility of philosophy, and the great new challenge facing philosophy, that I place Stéphane Beaulac’s important book. His work takes advantage, in particular, of several of the hard-earned lessons of twentieth-century philosophy and social experience. From the Foreword.
This book provides an introduction to the fundamental theory, practical implementation, and core and emerging applications of the material point method (MPM) and its variants. The MPM combines the advantages of both finite element analysis (FEM) and meshless/meshfree methods (MMs) by representing the material by a set of particles overlaid on a background mesh that serves as a computational scratchpad. The book shows how MPM allows a robust, accurate, and efficient simulation of a wide variety of material behaviors without requiring overly complex implementations. MPM and its variants have been shown to be successful in simulating a large number of high deformation and complicated engineering problems such as densification of foam, sea ice dynamics, landslides, and energetic device explosions, to name a few, and have recently found applications in the movie industry. It is hoped that this comprehensive exposition on MPM variants and their applications will not only provide an opportunity to re-examine previous contributions, but also to re-organize them in a coherent fashion and in anticipation of new advances. Sample algorithms for the solutions of benchmark problems are provided online so that researchers and graduate students can modify these algorithms and develop their own solution algorithms for specific problems. The goal of this book is to provide students and researchers with a theoretical and practical knowledge of the material point method to analyze engineering problems, and it may help initiate and promote further in-depth studies on the subjects discussed.
Production Management is a large field concerned with all the aspects related to production, from the very bottom decisions at the machine level, to the top-level strategic decisicns. In this book, we are concerned with production planning and scheduling aspects. Traditional production planning methodologies are based on a now widely ac cepted hierarchical decom?osition into several planning decision levels. The higher in the hierarchy, the more aggregate are the models and the more important are the decisions. In this book, we only consider the last two decision levels in the hierarchy, namely, the mid-term (or tacticaQ planning level and the short-term (or operationaQ scheduling level. In the literature and in practice, the decisions are taken in sequence and in a top-down approach from the highest level in the hierarchy to the bottom level. The decisions taken at some level in the hierarchy are constrained by those already taken at upper levels and in turn, must translate into feasible objectives for the next lower levels in the hierarchy. It is a common sense remark to say that the whole hierarchical decision process is coherent if the interactions between different levels in the hierarchy are taken into account so that a decision taken at some level in the hierarchy translates into a feasible objective for the next decision level in the hierarchy. However, and surpris ingly enough, this crucial consistency issue is rarely investigated and few results are available in the literature.
For all the buzz about trendy IT techniques, data processing is still at the core of our systems, especially now that enterprises all over the world are confronted with exploding volumes of data. Database performance has become a major headache, and most IT departments believe that developers should provide simple SQL code to solve immediate problems and let DBAs tune any bad SQL later. In The Art of SQL, author and SQL expert Stephane Faroult argues that this safe approach only leads to disaster. His insightful book, named after Art of War by Sun Tzu, contends that writing quick inefficient code is sweeping the dirt under the rug. SQL code may run for 5 to 10 years, surviving several major releases of the database management system and on several generations of hardware. The code must be fast and sound from the start, and that requires a firm understanding of SQL and relational theory. The Art of SQL offers best practices that teach experienced SQL users to focus on strategy rather than specifics. Faroult's approach takes a page from Sun Tzu's classic treatise by viewing database design as a military campaign. You need knowledge, skills, and talent. Talent can't be taught, but every strategist from Sun Tzu to modern-day generals believed that it can be nurtured through the experience of others. They passed on their experience acquired in the field through basic principles that served as guiding stars amid the sound and fury of battle. This is what Faroult does with SQL. Like a successful battle plan, good architectural choices are based on contingencies. What if the volume of this or that table increases unexpectedly? What if, following a merger, the number of users doubles? What if you want to keep several years of data online? Faroult's way of looking at SQL performance may be unconventional and unique, but he's deadly serious about writing good SQL and using SQL well. The Art of SQL is not a cookbook, listing problems and giving recipes. The aim is to get you-and your manager-to raise good questions.
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