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  • World War II

    A Global History

    Fully revised and restructured, the sixth edition of World War II: A Global History offers students a concise and yet thorough textbook that examines history’s bloodiest conflict. The chapters alternate between chronological chapters on Europe and Asia-Pacific and thematic chapters on innovations, home fronts, brutal regimes, and logistics. This textbook includes the following features:A lively ... Read more

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  • Non-Smooth and Complementarity-Based Distributed Parameter Systems

    Simulation and Hierarchical Optimization

    Series series Mathematics and Statistics (R0)
    Many of the most challenging problems in the applied sciences involve non-differentiable structures as well as partial differential operators, thus leading to non-smooth distributed parameter systems. This edited volume aims to establish a theoretical and numerical foundation and develop new algorithmic paradigms for the treatment of non-smooth phenomena and associated parameter influences. Other ... Read more

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  • Trends in PDE Constrained Optimization

    Series series Mathematics and Statistics (R0)
    Optimization problems subject to constraints governed by partial differential equations (PDEs) are among the most challenging problems in the context of industrial, economical and medical applications. Almost the entire range of problems in this field of research was studied and further explored as part of the Deutsche Forschungsgemeinschaft (DFG) priority program 1253 on “Optimization with ... Read more

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  • Performance Analysis of Complex Networks and Systems

    This rigorous, self-contained book describes mathematical and, in particular, stochastic and graph theoretic methods to assess the performance of complex networks and systems. It comprises three parts: the first is a review of probability theory; Part II covers the classical theory of stochastic processes (Poisson, Markov and queueing theory), which are considered to be the basic building blocks ... Read more

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  • Numerical Methods for Stochastic Computations

    A Spectral Method Approach

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    The@ first graduate-level textbook to focus on fundamental aspects of numerical methods for stochastic computations, this book describes the class of numerical methods based on generalized polynomial chaos (gPC). These fast, efficient, and accurate methods are an extension of the classical spectral methods of high-dimensional random spaces. Designed to simulate complex systems subject to random ... Read more

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  • Matrix Algebra

    Theory, Computations and Applications in Statistics

    Series series Mathematics and Statistics (R0)
    This textbook for graduate and advanced undergraduate students presents the theory of matrix algebra for statistical applications, explores various types of matrices encountered in statistics, and covers numerical linear algebra. Matrix algebra is one of the most important areas of mathematics in data science and in statistical theory, and the second edition of this very popular textbook provides ... Read more

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  • Bayesian Reasoning and Machine Learning

    by David Barber ...
    Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to ... Read more

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  • Numerical Analysis for Engineers and Scientists

    by G. Miller ...
    Striking a balance between theory and practice, this graduate-level text is perfect for students in the applied sciences. The author provides a clear introduction to the classical methods, how they work and why they sometimes fail. Crucially, he also demonstrates how these simple and classical techniques can be combined to address difficult problems. Many worked examples and sample programs are ... Read more

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  • Nonlinear Optimization

    Optimization is one of the most important areas of modern applied mathematics, with applications in fields from engineering and economics to finance, statistics, management science, and medicine. While many books have addressed its various aspects, Nonlinear Optimization is the first comprehensive treatment that will allow graduate students and researchers to understand its modern ideas, ... Read more

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  • Level Set and PDE Based Reconstruction Methods in Imaging

    Cetraro, Italy 2008, Editors: Martin Burger, Stanley Osher

    Series series Mathematics and Statistics (R0)
    This book takes readers on a tour through modern methods in image analysis and reconstruction based on level set and PDE techniques, the major focus being on morphological and geometric structures in images. The aspects covered include edge-sharpening image reconstruction and denoising, segmentation and shape analysis in images, and image matching. For each, the lecture notes provide insights into ... Read more

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  • Parameter Estimation and Inverse Problems

    Parameter Estimation and Inverse Problems, Second Edition provides geoscience students and professionals with answers to common questions like how one can derive a physical model from a finite set of observations containing errors, and how one may determine the quality of such a model. This book takes on these fundamental and challenging problems, introducing students and professionals to the ... Read more

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