Juraj Hromkovic takes the reader on an elegant route through the theoretical fundamentals of computer science. The author shows that theoretical computer science is a fascinating discipline, full of s
Discrete Mathematics and theoretical computer science are closely linked research areas with strong impacts on applications and various other scientific disciplines. Both fields deeply cross fertilize
This book provides an introduction, suitable for advanced undergraduates and beginning graduate students, to two important aspects of molecular biology and biophysics: computer simulation and data ana
The computer recognition systems are nowadays one of the most promising directions in artificial intelligence. This book is the most comprehensive study of this field. It contains a collection of 69 c
The book gives a unified probabilistic approach to evaluation of fatigue damage, including all steps to be followed, starting with fatigue testing planning, material characterization through lab expe
Self-normalized processes are of common occurrence in probabilistic and statistical studies. A prototypical example is Student's t-statistic introduced in 1908 by Gosset, whose portrait is on the fron
The goal of this book is three-fold: it describes the basics of model order reduction and related aspects.In numerical linear algebra, it covers both general and more specialized model order reduction
This book develops model theory independently of any concrete logical system or structure, within the abstract category-theoretic framework of the so called ‘institution theory’. The development inclu
This timely and important work looks at the collaborative health care model for the delivery of mental health care in a primary care setting. This has become the ideal model for the treatment of como
This unique book delivers an encyclopedic treatment of classic as well as contemporary large sample theory, dealing with both statistical problems and probabilistic issues and tools. The book is uniqu
Probabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising technologies in the area of applied artificial intelligence. This book provides a
This is the first book to comprehensively cover quantum probabilistic approaches to spectral analysis of graphs, an approach developed by the authors. The book functions as a concise introduction to q
Making use of different frameworks of approximate reasoning and reasoning under uncertainty, notably probabilistic and fuzzy set-based techniques, this book develops formal models of the above inferen
This book is a complete introduction to vector analysis, especially within the context of computer graphics. The author shows why vectors are useful and how it is possible to develop analytical skills
This volume is the first book-length treatment of model-based geostatistics. The text is expository, emphasizing statistical methods and applications rather than the underlying mathematical theory. An
This book presents the mathematical study of vortices of the two-dimensional Ginzburg-Landau model, an important phenomenological model used to describe superconductivity. The vortices, identified as
The book is an introductory textbook mainly for students of computer science and mathematics. Its guiding phrase is "what every theoretical computer scientist should know about linear programming". A
This book presents the most recent achievements in some rapidly developing fields within Computer Science. This includes the very latest research in biometrics and computer security systems, and descr
The Malliavin calculus is an infinite-dimensional differential calculus on a Gaussian space, developed to provide a probabilistic proof to Hormander's sum of squares theorem but has found a range of a
This textbook makes use of the popular computer program MATLAB as the major computer tool to study mechanics of composite materials. It is written specifically for students in engineering and material
What are the barriers in computer-mediated communication for cooperative learning and work? Based on empirical research, the chapters of this book offer different perspectives on the nature and causes
What are the barriers in computer-mediated communication for cooperative learning and work? Based on empirical research, the chapters of this book offer different perspectives on the nature and causes
Proceedings of the International Symposium on High Performance Computational Science and Engineering 2004 (IFIP World Computer Congress) is an essential reference for both academic and professional re
Broadband Satellite Communication Systems and the Challenges of Mobility is an essential reference for both academic and professional researchers in the field of telecommunications, computer networkin
Focusing on the manipulation and representation of geometrical objects, this book explores the application of geometry to computer graphics and computer-aided design (CAD). Over 300 exercises are incl
Moving on from earlier stochastic and robust control paradigms, this book introduces the fundamentals of probabilistic methods in the analysis and design of uncertain systems. The use of randomized a
The second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful
This text presents a comprehensive, self-contained treatment of the probabilistic theory behind the risk-neutral valuation principle and its application to the pricing and hedging of financial deriva
Stochastic differential equations have many applications in the natural sciences. Besides, the employment of probabilistic representations together with the Monte Carlo technique allows us to reduce s
An introduction to computer security for teenage users explains how to protect one's home computer from viruses and prevent identity theft and covers a variety of key issues, including how to ensure o
This book presents a unified theory of rare event simulation and the variance reduction technique known as importance sampling from the point of view of the probabilistic theory of large deviations. I
This book presents a unified theory of rare event simulation and the variance reduction technique known as importance sampling from the point of view of the probabilistic theory of large deviations. I
This book provides an introduction to probability theory and its applications. The emphasis is on essential probabilistic reasoning, which is illustrated with a large number of samples. The fourth edi
This book offers a conceptual model for understanding the nature of legal competencies. The model is interpreted to assist mental health professionals in designing and performing assessments for legal
Stemming from a graduate student course in audio coding that was designed to be understandable to music and computer engineering students, this textbook by Bosi (Stanford U. Computer Center for Resear
Implicit definition and description of geometric objects and surfaces plays a critical role in the appearance and manipulation of computer graphics. In addition, the mathematical definition of shapes,
This monograph contains a number of problems with signal detection theory, presenting a generalized observation model for signal detection problems. The model includes several interesting and common s
This is an introduction to probabilistic and statistical concepts necessary to understand the basic ideas and methods of stochastic differential equations. Based on measure theory, which is introduced
Written by leading statisticians and probabilists, this volume consists of 104 biographical articles on eminent contributors to statistical and probabilistic ideas born prior to the 20th Century. Amon
