Sparse Modeling

Modeling Selective Visual Attention introduces the definition of visual attention, the significance of psychology and computer vision, existing computational visual attention models, and the authors'

The book presents topics in discrete biomathematics. Mathematics has been widely used in modeling biological phenomena. However, the molecular and discrete nature of basic life processes suggests that

"A new edition of the definitive guide to logistic regression modeling for health science and other applicationsThis thoroughly expanded Third Edition provides an easily accessible introduction to the

In the field of knowledge discovery, graphs of concepts are an expressive and versatile modeling technique providing ways to reason about information implicit in a set of data. Interesting examples of

This book surveys European research in Traffc Monitoring and Analysis in line with the scientific objective of COST Action IC0703. Covers network and topology measurement and modeling, traffic classif

Perhaps the most useful and neglected content area of mathematics is statistics, especially for students in Grades 4–6. Couple that fact with the notion that mathematical modeling is an increasing emp

A comprehensive resource packed with information for both beginners and advanced usersSolidWorks is the leading 3D solid modeling software used in computer-aided design. It's powerful but not simple.

Addressing the new challenges that engineers face, this book presents fundamental concepts to help tackle the integration of modeling and simulation with command, and control systems of systems throug

Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences. Many real-world

The purpose of this book is to present new mathematical techniques for modeling global issues. These mathematical techniques are used to determine linear equations between a dependent variable and one

Introduces a powerful new approach to financial risk modeling with proven strategies for its real-world applicationsThe 2008 credit crisis did much to debunk the much touted powers of Value at Risk (V

Cognitive engineering is an interdisciplinary approach to the analysis, modeling, and design of engineered systems or workplaces in which humans and technologies jointly operate to achieve system goal

What kind of choices fatally shape a life? How does the individual withstand the onslaught of circumstance? These are the dark questions that animate Nemeses, the quartet of thematically related short novels that are published here together for the first time in this final volume of The Library of America’s definitive edition of Philip Roth’s collected works. Everyman (2006) is the sparse and affecting story of one man’s lifelong skirmish with mortality. Set against the backdrop of the Korean War, Indignation (2008) is the extraordinary narrative of a young man struggling against the conformity of McCarthy-era America and his father’s overwhelming fear. In The Humbling (2009), aging actor Simon Axler embarks on a risky and aberrant affair in a desperate attempt to recoup his lost artistic gifts. And in Nemesis (2010), Roth offers an exacting portrait of the emotions—fear and anger, bewilderment and grief—bred by a polio epidemic in Newark in the summer of 1944.Philip Roth is the only l

Thermal processes are ubiquitous and an understanding of thermal phenomena is essential for a complete description of the physics of nanoparticles, both for the purpose of modeling the dynamics of the

This book gives a comprehensive description of macroeconometric modeling and its development over time. The first part depicts the history of macroeconometric model building, starting with Jan Tinberg

This graduate-level text covers modeling, programming and analysis of simulation experiments and provides a rigorous treatment of the foundations of simulation and why it works. It introduces object-o

This book introduces the fundamentals of retail credit risk management, provides a broad and applied investigation of the related modeling theory and methods, and explores the interconnections of risk

This book proposes an introduction to the mathematical modeling of the respiratory system. A detailed introduction on the physiological aspects makes it accessible to a large audience without any prio

Presents a methodology that integrates modeling and design, UML, patterns, test-driven development, quality assurance, configuration management, and agile principles throughout the life cycle. In this

This book focuses on modeling, simulation and analysis of analog circuit aging. First, all important nanometer CMOS physical effects resulting in circuit unreliability are reviewed. Then, transistor a

The volume contains 19 contributions by international experts in the field of multibody system dynamics, robotics and control. The book aims to bridge the gap between the modeling of mechanical system

What is the progress in hydraulic research? What are the new methods used in modeling of transport of momentum, matter and heat in both open and conduit channels? What new experimental methods, instru

Artificial intelligence, or AI, is a cross-disciplinary approach to understanding, modeling, and creating intelligence of various forms. It is a critical branch of cognitive science, and its influence is increasingly being felt in other areas, including the humanities. AI applications are transforming the way we interact with each other and with our environment, and work in artificially modeling intelligence is offering new insights into the human mind and revealing new forms mentality can take. This volume of original essays presents the state of the art in AI, surveying the foundations of the discipline, major theories of mental architecture, the principal areas of research, and extensions of AI such as artificial life. With a focus on theory rather than technical and applied issues, the volume will be valuable not only to people working in AI, but also to those in other disciplines wanting an authoritative and up-to-date introduction to the field.

This application-driven primer for students and non-specialists has been course-tested at graduate level and explains how to use the spectral method to tackle the issues encountered in modeling fluid

Improving Risk Analysis shows how to better assess and manage uncertain risks when the consequences of alternative actions are in doubt. The constructive methods of causal analysis and risk modeling p

The new series will explore all aspects of the intersection of mathematics and the life sciences, including mathematical modeling of biological systems and processes, bioinformatics, computational evo

Surzhikov (mechanics, Russian Academy of Sciences, Moscow) examines the numerical modeling of gas-discharge phenomena in gas flows. Referring readers elsewhere for the physical and chemical kinetics o

In this book, a number of experts from various disciplines take a look at three different strands in learning to model. They examine the activity of modeling from disparate theoretical standpoints, ta

Over the past ten years, there have been many important advances in log-linear modeling, including the specification of new models, in particular non-standard models, and their relationships to method

This book analyzes some of the most recent advances in the field of decision making and fuzzy systems applied to business and economics presented at the International Conference on Modeling and Simula

This book deals with modeling and implementation of high performance, current-steering D/A-converters for digital transceivers in nanometer CMOS technology. In the first part, the fundamental performa

Aerodynamic Noise extensively covers the theoretical basis and mathematical modeling of sound, especially the undesirable sounds produced by aircraft. This noise could come from an aircraft’s engine—p

Efficient and equitable policies for managing disaster risks and adapting to global environmental change are critically dependent on development of robust options supported by integrated modeling. The

The 44 papers in this collection cover the state of the art in irrigation, irrigation modeling, irrigation systems and planning, sustainable irrigation and water re-use, irrigation management, governa

Measurement, analysis and modeling of extreme precipitation events linked to floods is vital in understanding changing climate impacts and variability. This book provides methods for assessment of the trends in these events and their impacts. It also provides a basis to develop procedures and guidelines for climate-adaptive hydrologic engineering. Academic researchers in the fields of hydrology, climate change, meteorology, environmental policy and risk assessment, and professionals and policy-makers working in hazard mitigation, water resources engineering and climate adaptation will find this an invaluable resource. This volume is the first in a collection of four books on flood disaster management theory and practice within the context of anthropogenic climate change. The others are: Floods in a Changing Climate: Hydrological Modeling by P. P. Mujumdar and D. Nagesh Kumar, Floods in a Changing Climate: Inundation Modeling by Giuliano Di Baldassarre and Floods in a Changing Climate:

This textbook provides a comprehensive and instructive coverage of vehicular traffic flow dynamics and modeling. It makes this fascinating interdisciplinary topic, which to date was only documented in

A leading international business theorist and writer for more than 30 years Peter Buckley focuses in this volume on the development and modeling of the multinational enterprise (MNE) and its role in k

After the attack that ended her modeling career, Tess O'Neil wants only to feel safe. She thinks she's found a sanctuary on a Nevada ranch, where she can live in solitude. Too bad rancher Zach Nolan i

Team Cooperation in a Network of Multi-Vehicle Unmanned Systems develops a framework for modeling and control of a network of multi-agent unmanned systems in a cooperative manner and with consideratio

A state-of-the-art presentation of optimum spatio-temporal sampling design - bridging classic ideas with modern statistical modeling concepts and the latest computational methods.Spatio-temporal Desig