A guide to defense systems analysis by experts who have worked on systems that range from air defense to space defense. The Department of Defense and the military continually grapple with complex scientific, engineering, and technological problems. Defense systems analysis offers a way to reach a clearer understanding of how to approach and think about complex problems. It guides analysts in defining the question, capturing previous work in the area, assessing the principal issues, and understanding how they are linked. The goal of defense systems analysis is not necessarily to find a particular solution but to provide a roadmap to a solution, or an understanding of the relative value of alternative solutions. In this book, experts in the field—all of them with more than twenty years of experience—offer insights, advice, and concrete examples to guide practitioners in the art of defense systems analysis. The book describes general issues in systems analysis and analysis protocols in specific defense areas. It offers a useful overview of the process, a discussion of different venues, and practical advice running a study and reporting its results. It discusses red teaming (the search for vulnerabilities that might be exploited by an adversary) and its complement, blue teaming (the search for solutions to known shortcomings). It describes real-world defense systems analysis for both traditional and nontraditional areas, including air defense and ballistic missile defense systems, bioterrorism defense, space warfare, and interplanetary communications. Perspectives on Defense Systems Analysis is a very readable resource for analysts and engineers in industry, government, and research.

A guide to defense systems analysis by experts who have worked on systems that range from air defense to space defense. The Department of Defense and the military continually grapple with complex scientific, engineering, and technological problems. Defense systems analysis offers a way to reach a clearer understanding of how to approach and think about complex problems. It guides analysts in defining the question, capturing previous work in the area, assessing the principal issues, and understanding how they are linked. The goal of defense systems analysis is not necessarily to find a particular solution but to provide a roadmap to a solution, or an understanding of the relative value of alternative solutions. In this book, experts in the field—all of them with more than twenty years of experience—offer insights, advice, and concrete examples to guide practitioners in the art of defense systems analysis. The book describes general issues in systems analysis and analysis protocols in specific defense areas. It offers a useful overview of the process, a discussion of different venues, and practical advice running a study and reporting its results. It discusses red teaming (the search for vulnerabilities that might be exploited by an adversary) and its complement, blue teaming (the search for solutions to known shortcomings). It describes real-world defense systems analysis for both traditional and nontraditional areas, including air defense and ballistic missile defense systems, bioterrorism defense, space warfare, and interplanetary communications. Perspectives on Defense Systems Analysis is a very readable resource for analysts and engineers in industry, government, and research.

The first book to present the common mathematical foundations of big data analysis across a range of applications and technologies. Today, the volume, velocity, and variety of data are increasing rapidly across a range of fields, including Internet search, healthcare, finance, social media, wireless devices, and cybersecurity. Indeed, these data are growing at a rate beyond our capacity to analyze them. The tools—including spreadsheets, databases, matrices, and graphs—developed to address this challenge all reflect the need to store and operate on data as whole sets rather than as individual elements. This book presents the common mathematical foundations of these data sets that apply across many applications and technologies. Associative arrays unify and simplify data, allowing readers to look past the differences among the various tools and leverage their mathematical similarities in order to solve the hardest big data challenges. The book first introduces the concept of the associative array in practical terms, presents the associative array manipulation system D4M (Dynamic Distributed Dimensional Data Model), and describes the application of associative arrays to graph analysis and machine learning. It provides a mathematically rigorous definition of associative arrays and describes the properties of associative arrays that arise from this definition. Finally, the book shows how concepts of linearity can be extended to encompass associative arrays. Mathematics of Big Data can be used as a textbook or reference by engineers, scientists, mathematicians, computer scientists, and software engineers who analyze big data.

Bringing together proponents and opponents of the Strategic Defense Initiative, this book includes original essays by leading experts on every aspect of the issue. The collection provides a valuable introduction to the many complex questions involved in any serious consideration of the SDI. The contributors explore such issues as the strategic impl