Wiley-VCH - Mathematics

A Passion for Publishing
New Books: Mathematics
  1. System Reliability Theory
      Handbook and reference for industrial statisticians and system reliability engineers System Reliability Theory: Models, Statistical Methods, and Applications, Third Edition presents an updated and revised look at system reliability theory, modeling, and analytical methods. The new edition is based on feedback to the second edition from numerous students, professors, researchers, and industries around the world. New sections and chapters are added together with new real-world industry examples, and standards and problems are revised and updated. System Reliability Theory covers a broad and deep array of system reliability topics, including: * In depth discussion of failures and failure modes * The main system reliability assessment methods * Common-cause failure modeling * Deterioration modeling * Maintenance modeling and assessment using Python code * Bayesian probability and methods * Life data analysis using R Perfect for undergraduate and graduate students taking courses in reliability engineering, this book also serves as a reference and resource for practicing statisticians and engineers. Throughout, the book has a practical focus, incorporating industry feedback and real-world industry problems and examples. [864 Pages, Hardcover]

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  2. Multi-parametric Optimization and Control
      Recent developments in multi-parametric optimization and control Multi-Parametric Optimization and Control provides comprehensive coverage of recent methodological developments for optimal model-based control through parametric optimization. It also shares real-world research applications to support deeper understanding of the material. Researchers and practitioners can use the book as reference. It is also suitable as a primary or a supplementary textbook. Each chapter looks at the theories related to a topic along with a relevant case study. Topic complexity increases gradually as readers progress through the chapters. The first part of the book presents an overview of the state-of-the-art multi-parametric optimization theory and algorithms in multi-parametric programming. The second examines the connection between multi-parametric programming and model-predictive control--from the linear quadratic regulator over hybrid systems to periodic systems and robust control. The third part of the book addresses multi-parametric optimization in process systems engineering. A step-by-step procedure is introduced for embedding the programming within the system engineering, which leads the reader into the topic of the PAROC framework and software platform. PAROC is an integrated framework and platform for the optimization and advanced model-based control of process systems. * Uses case studies to illustrate real-world applications for a better understanding of the concepts presented * Covers the fundamentals of optimization and model predictive control * Provides information on key topics, such as the basic sensitivity theorem, linear programming, quadratic programming, mixed-integer linear programming, optimal control of continuous systems, and multi-parametric optimal control An appendix summarizes the history of multi-parametric optimization algorithms. It also covers the use of the parametric optimization toolbox (POP), which is comprehensive software for efficiently solving multi-parametric programming problems. [320 Pages, Hardcover]

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  3. Foundations of Space Dynamics
      An introduction to orbital mechanics and spacecraft attitude dynamics Foundations of Space Dynamics offers an authoritative text that combines a comprehensive review of both orbital mechanics and dynamics. The author a noted expert in the field covers up-to-date topics including: orbital perturbations, Lambert's transfer, formation flying, and gravity-gradient stabilization. The text provides an introduction to space dynamics in its entirety, including important analytical derivations and practical space flight examples. Written in an accessible and concise style, Foundations of Space Dynamics highlights analytical development and rigor, rather than numerical solutions via ready-made computer codes. To enhance learning, the book is filled with helpful tables, figures, exercises, and solved examples. This important book: * Covers space dynamics with a systematic and comprehensive approach * Is designed to be a practical text filled with real-world examples * Contains information on the most current applications * Includes up-to-date topics from orbital perturbations to gravity- gradient stabilization * Offers a deep understanding of space dynamics often lacking in other textbooks Written for undergraduate and graduate students and professionals in aerospace engineering, Foundations of Space Dynamics offers an introduction to the most current information on orbital mechanics and dynamics. [368 Pages, Softcover]

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  4. Asymptotic Analyses for Complex Evolutionary Systems with Markov and Semi-Markov Switching Using Approximation Schemes
      This book analyzes stochastic evolutionary models under the impulse ofdiffusion, as well as Markov and semi-Markov switches. Models areinvestigated under the conditions of classical and non-classical (Levyand Poisson) approximations in addition to jumping stochasticapproximations and continuous optimization procedures. Among other asymptotic properties, particular attention is given to weakconvergence, dissipativity, stability and the control of processes andtheir generators. Weak convergence of stochastic processes is usually proved by verifyingtwo conditions: the tightness of the distributions of the convergingprocesses, which ensures the existence of a converging subsequence,and the uniqueness of the weak limit. Achieving the limit can be done onthe semigroups that correspond to the converging process as well as onappropriate generators. While this provides the convergence ofgenerators, a natural question arises concerning the uniqueness of alimit semigroup. [240 Pages, Hardcover]

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  5. Statistical Topics and Stochastic Models for Dependent Data with Applications
      This book is a collective volume authored by leading scientists in the field of stochastic modelling, associated statistical topicsand corresponding applications. The main classes of stochastic processes for dependent data investigated throughout this bookare Markov, semi-Markov, autoregressive and piecewise deterministic Markov models. The material is divided into three partscorresponding to: (i) Markov and semi-Markov processes, (ii) autoregressive processes and (iii) techniques based on divergencemeasures and entropies. A special attention is payed to applications in reliability, survival analysis and related fields. [288 Pages, Hardcover]

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