Principles of Computer Systems and Network Management

The logic and methodology of design is examined in this book from the perspective of computer science. Computers provide the context for this examination both by discussion of the design process for hardware and software systems and by consideration of the role of computers in design in general. The central question posed by the author is whether or not we can construct a theory of design. This book concentrates upon the relationship between design, mathematics and science and thus its audience must include designers and software designers as well as computer scientists.

A Computer Perspective is an illustrated essay on the origins and first lines of development of the computer. The complex network of creative forces and social pressures that have produced the compute

The purpose of this volume is to describe the components, assembly, and implementation of computer-based process control systems. Presented in two sections, it illustrates how such systems have been u

Focuses on the quantitative approaches necessary to computer-integrated manufacturing systems, and integrates major topics covering all phases of the production control cycle: production information p

Computing is an exact science and the systematic study of any aspect necessarily involves the use of mathematical models. Moreover, the rate at which the subject is evolving demands a facility for developing new mathematical systems to keep pace with new computing systems and this requires an appreciation of how mathematics works. An understanding of the underlying mathematical structure facilitates the construction of suitable computer programs to perform computations. Assuming no specific knowledge of mathematics, the authors describe all the basic concepts required and progress from sets (rather than numbers) through a variety of algebraic structures that permit the precise description, specification and subsequent analysis of many problems in computing. The material included provides the essential mathematical foundations for core topics of computer science and extends into the areas of language theory, abstract machine theory and computer geometry. Computer Mathematics will be of

Students and professors of hydrology, ecology, land-use management, forest and range management, soil science, physical geography, soil and water conservation, and watershed management will welcome th

A groundbreaking blueprint for mastering “cross-pressures” in a rapidly changing world, teaching leaders to executeandinnovate, think locallyandglobally, and project ambitionandstatesmanship alike—from a Stanford Business School lecturer and consultant to some of the biggest and most innovative CEOsSince the start of this century, businesses have confronted a series of extreme and constant disruptions, including technological upheavals, a pandemic, and a global financial crisis. As a result, today’s leaders, from startup founders to the managers of global giants, face unprecedented pressures from their bosses, investors, customers, peers, suppliers, and employees. For many, it’s a recipe for disaster.Part of the problem is that these challenges, while acutely felt, are rarely articulated in a way that makes them graspable and actionable. Robert E. Siegel has witnessed the impact of these cross-pressures from different perspectives. As a lecturer in management at Stanford’s Graduate Sch

Cachon Matching Supply with Demand, 4e is a clear, concise and more rigorous approach to an introductory Operations management course. Written by Wharton authors who use their guiding principles “real operations, real solutions” to bring the text and concepts to life, writing the majority of chapters from the perspective of specific companies. The “real solutions” refers to providing students with tools and strategies they can implement in practice and apply the author's models in a realistic operational setting. The authors strive for “real simple” by using as little mathematical notation as possible, focusing on many real-world examples and consistent terminology and phrasing throughout.

Learn How to Better Understand Distributed System Design and Solve Common Problems Enterprises today rely on a range of distributed software handling data storage, messaging, system management, and compute capability. Distributed system designs need to be implemented in some programming language, and there are common problems that these implementations need to solve. These problems have common recurring solutions. A patterns approach is very suitable to describe these implementation aspects. Patterns by nature are generic enough to cover a broad range of products from cloud services like Amazon S3 to message brokers like Apache Kafka to infrastructure frameworks like Kubernetes to databases like MongoDB or Actor frameworks like Akka. At the same time the pattern structure is specific enough to be able to show real code. The beauty of this approach is that even if the code structure is shown in one programming language (Java in this case), the structure applies to many other programming