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Adenauer's Foreign Office
The creation of the Foreign Office under Adenauer tells us much about the possibilities and limits of professional diplomacy in the mid-twentieth century. It also demonstrates three themes central to the early history of the Federal Republic: the integration of the new state into the international community, the cooptation of German elites and traditions by the new political system, and the creation of government in a state under foreign occupation. In this important study, Thomas Maulucci argues that, despite an improvised start and a considerable continuity of practice and personnel with pre-1945 Germany, the changed international anddomestic situation proved decisive in creating a ministr...
The Vocation of Reason
This book addresses, and at the same time reflects, the impact of Max Weber on both the social sciences and on critical theory's critique of the social sciences. Weber's conception of 'vocation' is a guiding thread unifying concerns about the nature, scope and limits of theoretical thinking among social scientists, whether supportive or critical of Weber. Not surprisingly, the source of many of these concerns, whether intended or unintended, biographical or situational, is the ambiguous legacy of Weber himself. Wilson's interrogation of Weber's thought in articles and essays over the past 30 years, supplemented by Kemple's insights, makes a strong case for the claim that we do indeed live in 'the age of Weber'.
Modular Specification and Verification of Object-Oriented Programs
Software systems play an increasingly important role in modern societies. Smart cards for personal identi?cation, e-banking, software-controlled me- cal tools, airbags in cars, and autopilots for aircraft control are only some examples that illustrate how everyday life depends on the good behavior of software. Consequently, techniques and methods for the development of hi- quality, dependable software systems are a central research topic in computer science. A fundamental approach to this area is to use formal speci?cation and veri?cation. Speci?cation languages allow one to describe the crucial p- perties of software systems in an abstract, mathematically precise, and implementation-indepen...
Foundations of Applied Electrodynamics
Foundations of Applied Electrodynamics takes a fresh look at the essential concepts and methods of electrodynamics as a whole, uniting the most relevant contemporary topics under a common mathematical framework. It contains clear explanations of high-level concepts as well as the mutual relationships between the essential ideas of electromagnetic theory. Starting with the fundamentals of electrodynamics, it methodically covers a wide spectrum of research and applications that stem from electromagnetic phenomena, before concluding with more advanced topics such as quantum mechanics. Includes new advances and methodologies in applied electrodynamics, and provides the whole picture of the theor...
Ontologies
This second edition systematically introduces the notion of ontologies to the non-expert reader and demonstrates in detail how to apply this conceptual framework for improved intranet retrieval of corporate information and knowledge and for enhanced Internet-based electronic commerce. He also describes ontology languages (XML, RDF, and OWL) and ontology tools, and the application of ontologies. In addition to structural improvements, the second edition covers recent developments relating to the Semantic Web, and emerging web-based standard languages.
Metaharmonic Lattice Point Theory
Metaharmonic Lattice Point Theory covers interrelated methods and tools of spherically oriented geomathematics and periodically reflected analytic number theory. The book establishes multi-dimensional Euler and Poisson summation formulas corresponding to elliptic operators for the adaptive determination and calculation of formulas and identities of
Computational, label, and data efficiency in deep learning for sparse 3D data
Deep learning is widely applied to sparse 3D data to perform challenging tasks, e.g., 3D object detection and semantic segmentation. However, the high performance of deep learning comes with high costs, including computational costs and the effort to capture and label data. This work investigates and improves the efficiency of deep learning for sparse 3D data to overcome the obstacles to the further development of this technology.
