Sparse Modeling

Provides professional-level Maya instruction along with scenarios and examples to master the CG production pipeline, covering such topics as 3D cameras, modeling, animation, rigging, and virtual filmm

Computational Neuroscience - A First Course provides an essential introduction to computational neuroscience and equips readers with a fundamental understanding of modeling the nervous system at the

Heavy-tailed probability distributions are an important component in the modeling of many stochastic systems. They are frequently used to accurately model inputs and outputs of computer and data netwo

Give students the tools they need to tackle complex texts with these research-based, classroom-tested lessons from master teacher Laura Robb. The three-part system—teacher modeling, guided practice, i

The concept of temporal networks is an extension of complex networks as a modeling framework to include information on when interactions between nodes happen. Many studies of the last decade examine h

Lattice Boltzmann method (LBM) is a relatively new simulation technique for the modeling of complex fluid systems and has attracted interest from researchers in computational physics. Unlike the tradi

Agent-based modeling/simulation is an emergent approach to the analysis of social and economic systems. It provides a bottom-up experimental method to be applied to social sciences such as economics,

3D Masterclass: The Swordmaster in 3ds Max and ZBrush presents a comprehensive, step-by-step guide to modeling, sculpting, unwrapping, texturing, and rendering a low poly game character. The professio

Deformable solids have a particularly complex character; mathematical modeling is not always simple and often leads to inextricable difficulties of computation. One of the simplest mathematical models

"Now in a thoroughly updated and revised fourth edition, this volume features new concepts and applications to assist readers in modeling and analyzing natural, social, and technological processes. It

Six-Step Relational Database DesignTM bridges the gaps between database theory, database modeling, and database implementation by outlining a simple but reliable six-step process for accurately modeli

Focusing on everything from the basics of opportunistic networks to modeling them, communicating through them and using them for collaboration and cooperation, this volume covers all aspects of the to

Contemporary Psychometrics features cutting edge chapters organized in four sections: test theory, factor analysis, structural equation modeling, and multivariate analysis.The section on test theory i

This book deals with the modeling, analysis and simulation of problems arising in the life sciences, and especially in biological processes. The models and findings presented result from intensive dis

This new edition is expanded and updated, complete with end-of-chapter exercises. Outlines the recent development of Markov chain models for modeling queueing systems, manufacturing and re-manufacturi

This book summarizes research advances in micromechanics modeling of ductile fractures made in the past two decades. The ultimate goal of this book is to reach manufacturing frontline designers and ma

"This book brings together theoretical and technical concepts of intelligent embedded control systems and their use in hardware and software architectures by highlighting formal modeling, execution mo

"This book presents various theories and methods for approaching the problem of modeling and simulating intellect in order to target computation efficiency and scalability of proposed methods"--

The theory and applications of random dynamical systems (RDS) are at the cutting edge of research in mathematics and economics, particularly in modeling the long-run evolution of economic systems subj

The 23 selected papers discuss such areas as the synthesis of nanostructures and nanocomposites; optical, electrical, and structural characterization techniques; modeling structures and the theoretica

The articles in this volume present the state-of-the-art in noise prediction, modeling and measurement. The articles are partially based on class notes provided during the course `Noise sources in tur

Bayesian Networks in R with Applications in Systems Biology is unique as it introduces the reader to the essential concepts in Bayesian network modeling and inference in conjunction with examples in t

The volatility of financial returns changes over time and, for the last thirty years, Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models have provided the principal means of analyzing, modeling and monitoring such changes. Taking into account that financial returns typically exhibit heavy tails - that is, extreme values can occur from time to time - Andrew Harvey's new book shows how a small but radical change in the way GARCH models are formulated leads to a resolution of many of the theoretical problems inherent in the statistical theory. The approach can also be applied to other aspects of volatility. The more general class of Dynamic Conditional Score models extends to robust modeling of outliers in the levels of time series and to the treatment of time-varying relationships. The statistical theory draws on basic principles of maximum likelihood estimation and, by doing so, leads to an elegant and unified treatment of nonlinear time-series modeling.

The volatility of financial returns changes over time and, for the last thirty years, Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models have provided the principal means of analyzing, modeling and monitoring such changes. Taking into account that financial returns typically exhibit heavy tails - that is, extreme values can occur from time to time - Andrew Harvey's new book shows how a small but radical change in the way GARCH models are formulated leads to a resolution of many of the theoretical problems inherent in the statistical theory. The approach can also be applied to other aspects of volatility. The more general class of Dynamic Conditional Score models extends to robust modeling of outliers in the levels of time series and to the treatment of time-varying relationships. The statistical theory draws on basic principles of maximum likelihood estimation and, by doing so, leads to an elegant and unified treatment of nonlinear time-series modeling.

This book analyses intention recognition, an important ability that helps agents predict others’ behavior, in its artificial intelligence and evolutionary computational modeling aspects. It also propo

Inside Rhinoceros 5, is the ideal introduction to using the latest version of Rhino. This well-designed book bridges the gap between theoretical and software-oriented approaches to computer modeling b

Measuring, monitoring, and modeling technologies and methods changed the field of glaciology significantly in the 14 years since the publication of the first edition of Fundamentals of Glacier Dynamic

Written in a friendly, conversational style, this book offers a hands-on approach to statistical mediation and moderation for both beginning researchers and those familiar with modeling. Starting with

Written in a friendly, conversational style, this book offers a hands-on approach to statistical mediation and moderation for both beginning researchers and those familiar with modeling. Starting with

This book discusses FBAR physics, design, modeling, fabrication and applications, along with tuning of the resonant frequency of FBARs and switchable and tuneable FBARs based on electric field induced

Environmentally friendly practices are crucial to the mission of museums, which, as houses of preservation, are uniquely suited to modeling green behavior and sustainability. The Green Museum remains

Marsh, an accountant who has worked for various corporations and consultancies, explains techniques and processes used in business and financial models, with a focus on modeling a company and its inve

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