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Differential equations with delay naturally arise in various applications, such as control systems, viscoelasticity, mechanics, nuclear reactors, distributed networks, heat flows, neural networks, combustion, interaction of species, microbiology, learning models, epidemiology, physiology, and many others.

This set contains 6 clean vector corporate ID templates you can download and use absolutely. You can show your work, create presentations and mock-ups, use them in prints.

This high-level text explains the mathematics behind basic circuit theory. It covers matrix algebra, which provides a general means of formulating the details of a linear system. In addition, the author presents the basic theory of n-dimensional spaces and demonstrates its application to linear systems. Numerous problems appear throughout the text. 1963 edition.

Cybercrime and Espionage provides a wealth of knowledge related to the realities seen in the execution of advanced attacks, their success from the perspective of exploitation and their presence within all industry. This book will educate you on realities of advanced, next generation threats, which take form in a variety ways. The authors, working in conjunction with strategic technology partners have key insights into the realm of what these new threats, dubbed "Subversive Multi-Vector Threats" or SMTs. Whether the goal is to acquire and subsequently sell intellectual property from one organization to a competitor or the international black markets, to compromise financial data and systems, or undermine the security posture of a nation state by another nation state or sub-national entity, these threats are real and growing at an alarming pace.

This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are the mathematical structures, or models, that underlie learning, while fuzzy logic systems (FLS) enable us to embed structured human knowledge into workable algorithms. The book assumes that it is not only useful, but necessary, to treat SVM, NN, and FLS as parts of a connected whole. Throughout, the theory and algorithms are illustrated by practical examples, as well as by problem sets and simulated experiments. This approach enables the reader to develop SVM, NN, and FLS in addition to understanding them. The book also presents three case studies: on NN-based control, financial time series analysis, and computer graphics.