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This updated and expanded edition of the bestselling textbook provides a comprehensive introduction to the methods and theory of nonlinear finite elem…

This volume is the focal point of the work undertaken in the previous volumes of this set of books: the statement of the fundamental principle of the …

An advanced look at vibration analysis with a focus on active vibration suppression As modern devices, from cell phones to airplanes, become lighter a…

This book is the second in a series of volumes which cover the topic of aerospace actuators following a systems-based approach. This second volume bri…

Markov Chains: Analytic and Monte Carlo Computations introduces the main notions related to Markov chains and provides explanations on how to characte…

A comprehensive account of the theory and application of Monte Carlo methods Based on years of research in efficient Monte Carlo methods for estimatio…

Praise for the Third Edition “Researchers of any kind of extremal combinatorics or theoretical computer science will welcome the new edition of this b…

Presents an introduction to Bayesian statistics, presents an emphasis on Bayesian methods (prior and posterior), Bayes estimation, prediction, MCMC,Ba…

Praise for the First Edition «…a reference for everyone who is interested in knowing and handling uncertainty.» —Journal of Applied Statistics The cri…

This unique book on super-resolution microscopy techniques presents comparative, in-depth analyses of the strengths and weaknesses of the individual a…

Earthquake Occurrence provides the reader with a review of algorithms applicable for modeling seismicity, such as short-term earthquake clustering and…

This book is a new edition of a title originally published in1992. No other book has been published that treats inverse spectral and inverse scatterin…

A Modern Course in Statistical Physics is a textbook that illustrates the foundations of equilibrium and non-equilibrium statistical physics, and the …

A broad introduction to PDEs with an emphasis on specialized topics and applications occurring in a variety of fields Featuring a thoroughly revised p…

Praise for the First Edition «Stahl offers the solvability of equations from the historical point of view…one of the best books available to support a…

Electrochemical capacitors are electrochemical energy storage devices able to quickly deliver or store large quantities of energy. They have stimulate…

Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learn…

From the characterization of materials to accelerated life testing, experimentation with solids and structures is present in all stages of the design …

Written at a readily accessible level, Basic Data Analysis for Time Series with R emphasizes the mathematical importance of collaborative analysis of …

An authoritative introduction to efficiency and productivity analysis with applications in both the banking and finance industry In light of the recen…

Fundamental guidance—including concepts, models, and methodology—for better understanding the dynamic behavior of materials and for designing for obje…

This book is devoted to the problems of construction and application of chi-squared goodness-of-fit tests for complete and censored data. Classical ch…

A comprehensive reference to renewable energy technologies with a focus on power generation and integration into power systems This book addresses the…

Comprehensively covers new and existing methods for the design and analysis of composites structures with damage present Provides efficient and accura…

Practical Guide to International Standardization for Electrical Engineering provides a comprehensive guide to the purpose of standards organizations, …

Explores the emerging subject of epidemic dynamics on complex networks, including theories, methods, and real-world applications Throughout history ep…

The application of Bayesian Networks (BN) or Dynamic Bayesian Networks (DBN) in dependability and risk analysis is a recent development. A large numbe…

Presents the methodology and applications of ODE and PDE models within biomedical science and engineering With an emphasis on the method of lines (MOL…

Explore and analyze the solutions of mathematical models from diverse disciplines As biology increasingly depends on data, algorithms, and models, it …

Modern science is at a tipping point. A new page in the history of knowledge opens with the “information paradigm”, a notion which is gradually suppla…

This Series provides the necessary elements to the development and validation of numerical prediction models for hydrodynamic bearings. This book is d…

The author investigates the Cramer –Lundberg model, collecting the most interesting theorems and methods, which estimate probability of default for a …

There is currently no basic text in wildlife law suitable for the wide range of courses in wildlife conservation and animal welfare at both bachelors …

This book presents the fundamentals of wireless communications and services, explaining in detail what RF spectrum management is, why it is important,…

This timely anthology brings together for the first time the most important ancient, medieval, Enlightenment, and modern scholarship for a complete an…

A comprehensive introduction to bootstrap methods in the R programming environment Bootstrap methods provide a powerful approach to statistical data a…

Features an integrated approach of statistical scenarios and simulations to aid readers in developing key intuitions needed to understand the wide ran…

Covers the fundamental principles behind optomechanical design This book emphasizes a practical, systems-level overview of optomechanical engineering,…

An introductory textbook covering the fundamentals of linear finite element analysis (FEA) This book constitutes the first volume in a two-volume set …

Provides a one-stop resource for engineers learning biostatistics using MATLAB® and WinBUGS Through its scope and depth of coverage, this book address…

By providing expositions to modeling principles, theories, computational solutions, and open problems, this reference presents a full scope on relevan…

This book studies methods to concretely address inverse problems. An inverse problem arises when the causes that produced a given effect must be deter…

Clarifies modern data analysis through nonparametric density estimation for a complete working knowledge of the theory and methods Featuring a thoroug…

A fascinating and instructive guide to Markov chains for experienced users and newcomers alike This unique guide to Markov chains approaches the subje…

A reference to answer all your statistical confidentiality questions. This handbook provides technical guidance on statistical disclosure control and …