Computers - Computer Science

Artificial intelligence takes many shapes and forms. At this point in its evolution, machine learning and deep learning are two of the most common shapes it takes. This is primarily because we are at a point where we have discovered how to create networks...

This book leverages an alternative interpretation of Quantum Theory explored in the Cosmology of Light book series, to suggest an alternative way to conceive of the fledgling field of Quantum Computing. The dynamics of superposition and entanglement are explored from the point of view...

The brain has always had a fundamental advantage over conventional computers: it can learn. However, a new generation of artificial intelligence algorithms, in the form of deep neural networks, is rapidly eliminating that advantage. Deep neural networks rely on adaptive algorithms to master a...

This graduate-level textbook is a detailed exposition of key mathematical tools in analysis aimed at students, researchers, and practitioners across science and engineering. Every topic covered has been specifically chosen because it plays a key role outside the field of pure mathematics. Although the...

Scan statistics is currently one of the most active and important areas of research in applied probability and statistics, having applications to a wide variety of fields: archaeology, astronomy, bioinformatics, biosurveillance, molecular biology, genetics, computer science, electrical engineering, geography, material sciences, physics, reconnaissance, reliability...

Our Subjects and Objectives. This book is about algebraic and symbolic computation and numerical computing (with matrices and polynomials). It greatly extends the study of these topics presented in the celebrated books of the seventies, AHU] and BM] (these topics have been under-represented in...

Mobile communications havepermeated the globe in both business and social cultures. In only af ew short years, Japan aloneh ash ad more than ten million subscribers enter the mobilem arket. Such explosive popularity is an indication ofa strong commercial demand for communications in both...

Introduction or Why I wrote this book N the fallof 1997 a dedicated troff user e-rnalled me the macros he used to typeset his books. 1took one look inside his fileand thought, "I can do I this;It'sjustcode. " Asan experiment1spent aweekand wrote a Cprogram...

One service mathematics has rendered the human race. It has put common sense back where it belongs. It has put common sense back where it belongs, on the topmost shelf next to the dusty canister labelled discarded nonsense. Eric TBell Every picture tells a...

Monograph( based very largely upon results original to the Czechoslovakian authors) presents an abstract account of the theory of automata for sophisticated readers presumed to be already conversant in the language of category theory. The seven chapters are punctuated at frequent intervals by examplAuthor:...

Over 130 years ago, James Clerk Maxwell introduced his hypothetical "demon" as a challenge to the scope of the second law of thermodynamics. Fascination with the demon persisted throughout the development of statistical and quantum physics, information theory, and computer science, and links have...

This classic book is an introduction to dynamic programming, presented by the scientist who coined the term and developed the theory in its early stages. In Dynamic Programming, Richard E. Bellman introduces his groundbreaking theory and furnishes a new and versatile mathematical tool for...

An essential introduction to discrete and computational geometry Discrete geometry is a relatively new development in pure mathematics, while computational geometry is an emerging area in applications-driven computer science. Their intermingling has yielded exciting advances in recent years, yet what has been lacking until...

Advance praise for Get Out of I.T. While You Can. "This simple message eludes many in this world. Our job is to support the business-if people don't get this, success is impossible." -Mike Jones, CIO, Children's Hospital "Craig's book is really about leadership. He...

Wireless communications, advanced radar and sonar systems, and security systems for Internet transactions are contemporary examples of systems that employ digital signals to transmit information. This volume affords comprehensive, up-to-date treatment of the methodologies and application areas throughout the range of digital communication where...

Communication is a fundamental and integral part of computing, whether between different computers on a network, or between components within a single computer. In this book Robin Milner introduces a new way of modelling communication that reflects its position. He treats computers and their...

In online computation a computer algorithm must decide how to act on incoming items of information without any knowledge of future inputs. How should it route the next telephone call? Where in memory should it store a just-closed record? This book provides an in-depth...

A groundbreaking, unifying theory of computer science for low-cost, high-quality software The Cognitive Dynamics of Computer Science represents the culmination of more than thirty years of the author's hands-on experience in software development, which has resulted in a remarkable and sensible philosophy and practice...

With Managing IT as a Business you'll get practical advice on how to unleash the full potential of this critical function so that companies can derive maximum benefit. It offers a proven plan for bridging the gap between CEOs and CIOs that has, until...

Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. It includes a tutorial...

Kernel smoothing refers to a general methodology for recovery of underlying structure in data sets.The basic principle is that local averaging or smoothing is performed with respect to a kernel function. This book provides uninitiated readers with a feeling for the principles, applications, and...

This book on multivariate models, statistical inference, and data analysis contains deep coverage of multivariate non-normal distributions for modeling of binary, count, ordinal, and extreme value response data. It is virtually self-contained, and includes many exercises and unsolved problems.Author: Harry JoeISBN-10: 0412073315ISBN-13: 9780412073311Publisher: CRC...

Stochastic petri nets have proven to be a useful tool for modelling and performance analysis of complex discrete-event stochastic systems such as those in telecommunications, manufacturing, transportation. This monograph centers on techniques for the modelling and computer simulation of such systems. Researchers and graduate...

This monograph presents an approach to complexity theory which offers a means of analysing algorithms in terms of their tractability. This will be suitable for graduate students and researchers in computer science and mathematics, particularly those studying complexity theory.Author: Rodney G. Downey, M. R....

This book develops a theory of objects as a foundation for object- oriented languages and programming. It shows how object-oriented notions may be expressed in terms of a few basic primitives, and how these can be used to design and understand object-oriented programming languages.Author:...

A reference handbook for modern mathematics, The Handbook of Mathematical Formulas is filled with formulas, equations, tables, and explanations. This fully up to date handbook contains new and expanded chapters on Graphs and Algebras, Probability Theory and Mathematical Statistics, Fuzzy Logic, Neural Networks, and...

This book is an evolution from my book A First Course in Information Theory published in 2002 when network coding was still at its infancy. The last few years have witnessed the rapid development of network coding into a research ?eld of its own...

This second edition presents up-to-date material on the theory of weak convergance of convolution products of probability measures in semigroups, the theory of random walks on semigroups, and their applications to products of random matrices. In addition, this unique work examines the essentials of...

It's hard to believe that it's been over a decade since One Jump Ahead: Challenging Human Supremacy at Checkers was published. I'm delighted to have the oppor- nity to update and expand the book. The ?rst edition ended on a sad note and that...

The analysis of integrated and co-integrated time series can be considered as the main methodology employed in applied econometrics. This book not only introduces the reader to this topic but enables him to conduct the various unit root tests and co-integration methods on his...

This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application...

Combinatorial optimization algorithms are used in many applications including the design, management, and operations of communication networks. The objective of this book is to advance and promote the theory and applications of combinatorial optimization in communication networks. Each chapter of the book is written...

The research on fuzzy conceptual models and fuzzy object-oriented databases is receiving increasing attention, in addition to fuzzy relational database models. With rapid advances in network and internet techniques as well, the databases have been applied under the environment of distributed information systems. This...

This book is intended to give undergraduate and beginning graduate students and researchers in computer vision, applied mathematics, robotics, and computer graphics a self-contained introduction to the geometry of 3D vision. Exercises are provided at the end of each chapter.Author: Yi Ma, Stefano Soatto,...

A new scientific monograph developing significant new algorithmic foundations in machine learning theory. Researchers and postgraduates in CS, statistics, and A.I. will find the book an authoritative and formal presentation of some of the most promising theoretical developments in machine learning.Author: Vladimir Vovk, Alex...

A recurring theme of the public discourse on immigration in Europe today is that migrants are primarily young people, of working age. Against this short-sighted view, the main contribution of this book is to propose that processes of ageing and dying constitute a critical...

Problems in Set Theory, Mathematical Logic and the Theory of Algorithms by I. Lavrov & L. Maksimova is an English translation of the fourth edition of the most popular student problem book in mathematical logic in Russian. It covers major classical topics in proof...

Gualtiero Piccinini articulates and defends a mechanistic account of concrete, or physical, computation. A physical system is a computing system just in case it is a mechanism one of whose functions is to manipulate vehicles based solely on differences between different portions of the...

Formal logic, free from the ambiguities of natural languages, is especially suited for use in computing. In turn, model theory, which is concerned with the relationship between mathematical structures and logic, now has a wide range of applications in areas such as computing, philosophy,...

The Handbook of Logic in Computer Science is a six-volume, internationally authored work which offers a comprehensive treatment of the application of logic to theoretical computer science. Each volume is comprised of an average of five 100-page monographs and presents an in-depth overview of...

Numerical linear algebra is far too broad a subject to treat in a single introductory volume. Stewart has chosen to treat algorithms for solving linear systems, linear least squares problems, and eigenvalue problems involving matrices whose elements can all be contained in the high-speed...

Cybercrime Investigation Case Studies is a first look excerpt from Brett Shavers' new Syngress book, Placing the Suspect Behind the Keyboard. Case studies are an effective method of learning the methods and processes that were both successful and unsuccessful in real cases. Using a...

Computational geometry emerged from the ?eld of algorithms design and analysis in the late 1970s. It has grown into a recognized discipline with its own journals, conferences, and a large community of active researchers. The success of the ?eld as a research discipline can...

This book constitutes the refereed proceedings of the 15th International Conference on Cellular Automata for Research and Industry, ACRI 2022, which took place in Geneva, Switzerland, in September 2022.The 31 full papers presented in this volume were carefully reviewed and selected from 36 submissions....

This volume comprises the carefully revised papers of the 9th IUTAM Symposium on Laminar-Turbulent Transition, held at the Imperial College, London, UK, in September 2019. The papers focus on the leading research in understanding transition to turbulence, which is a challenging topic of fluid...

Face analysis is essential for a large number of applications such as human-computer interaction or multimedia (e.g. content indexing and retrieval). Although many approaches are under investigation, performance under uncontrolled conditions is still not satisfactory. The variations that impact facial appearance (e.g. pose, expression,...

Begin working with the Grafana data visualization platform. This book is a "how-to manual" for deploying and administering Grafana, creating real-time dashboards and alerts, exploring the data you have, and even synthesizing new data by combining and manipulating data from multiple different sources. You'll...

Multilayer neural networks based on multi-valued neurons (MLMVNs) have been proposed to combine the advantages of complex-valued neural networks with a plain derivative-free learning algorithm. In addition, multi-valued neurons (MVNs) offer a multi-valued threshold logic resulting in the ability to replace multiple conventional output...

This book is designed primarily for use as a textbook in a one-semester course on compiler design for undergraduate students and beginning graduate students. The only prerequisites for this book are familiarity with basic algorithms and data structures (lists, maps, recursion, etc.), a rudimentary...

Digital technology is fundamentally altering the world we live in, but can only be truly understood in relation to the physical world we all inhabit. The most successful future products and policies will be those that take this rich digital/physical ecology seriously. The physical...