Analogue Computing Methods presents the field of analogue computation and simulation in a compact and convenient form, providing an outline of models and analogues that have been produced to solve physical problems for the engineer and how to use and program the electronic analogue computer. This book consists of six chapters. The first chapter provides an introduction to analogue computation and discusses certain mathematical techniques. The electronic equipment of an analogue computer is covered in Chapter 2, while its use to solve simple problems, including the method of scaling is elaborated in Chapter 3. Chapter 4 describes the general layout of a computer with specifications of selected commercial computers. In Chapter 5, the use of a large computer is elaborated through a reactor simulation. The last chapter outlines particular general analogue devices. Conductive analogues and other methods and special techniques, which have been used in connection with electronic analogue computing, are also deliberated in this text. This publication is valuable to students and individuals conducting work on analogue computing.

Presents and explains advances in analog computer technology.

In what does the difference between analog and digital consist? What are the benefits of a digital solution with respect to a parallel analog solution? This is not a purely intellectual conundrum since managers and politicians make conspicuous investments in analog and digital infrastructures and systems. Scientists from different fields are searching for the appropriate definition of what is digital and analog, but the profile of the technologies that have changed mankind's lifestyle and the history of the world still resist the scrutiny of thinkers. The present work deriving from a long-term theoretical inquiry suggests some keys to interpret the digital and the analog machines. The author claims that understanding analog versus digital is not as easy as comparing the adjectives digital/continuous or natural/artificial, and conducts an accurate analysis of the systems' core. Frequently the author follows an historical perspective and does not refrain from comments on linguistics, anthropology, psychology, and other fields related to the information domain. Book jacket.

Reliability concerns and the limitations of process technology can sometimes restrict the innovation process involved in designing nano-scale analog circuits. The success of nano-scale analog circuit design requires repeat experimentation, correct analysis of the device physics, process technology, and adequate use of the knowledge database. Starting with the basics, Nano-Scale CMOS Analog Circuits: Models and CAD Techniques for High-Level Design introduces the essential fundamental concepts for designing analog circuits with optimal performances. This book explains the links between the physics and technology of scaled MOS transistors and the design and simulation of nano-scale analog circuits. It also explores the development of structured computer-aided design (CAD) techniques for architecture-level and circuit-level design of analog circuits. The book outlines the general trends of technology scaling with respect to device geometry, process parameters, and supply voltage. It describes models and optimization techniques, as well as the compact modeling of scaled MOS transistors for VLSI circuit simulation. • Includes two learning-based methods: the artificial neural network (ANN) and the least-squares support vector machine (LS-SVM) method • Provides case studies demonstrating the practical use of these two methods • Explores circuit sizing and specification translation tasks • Introduces the particle swarm optimization technique and provides examples of sizing analog circuits • Discusses the advanced effects of scaled MOS transistors like narrow width effects, and vertical and lateral channel engineering Nano-Scale CMOS Analog Circuits: Models and CAD Techniques for High-Level Design describes the models and CAD techniques, explores the physics of MOS transistors, and considers the design challenges involving statistical variations of process technology parameters and reliability constraints related to circuit design.

This text is about methods used for the computer simulation of analog systems. It concentrates on electronic applications, but many of the methods are applicable to other engineering problems as well. This revised edition (1st, 1983) encompasses recent theoretical developments and program-writing tips for computer-aided design. About 60% of the text is suitable for a senior-level course in circuit theory. The whole text is suitable for graduate courses or as a reference for scientists and engineers who seek information in the field. Annotation copyright by Book News, Inc., Portland, OR

This encyclopedia provides an authoritative single source for understanding and applying the concepts of complexity theory together with the tools and measures for analyzing complex systems in all fields of science and engineering. It links fundamental concepts of mathematics and computational sciences to applications in the physical sciences, engineering, biomedicine, economics and the social sciences.