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Top Series in United States

Showing 1 - 12 of 12 results for “michael ulbrich”
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  • Non-Smooth and Complementarity-Based Distributed Parameter Systems

    Simulation and Hierarchical Optimization

    Edited by Michael Hintermüller, Roland Herzog, Christian Kanzow, Michael Ulbrich, Stefan Ulbrich ...
    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

    $107.09 USD

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  • Elements of Information Theory

    by Thomas M. Cover, Joy A. Thomas ...
    The latest edition of this classic is updated with new problem sets and materialThe Second Edition of this fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory.All the essential topics in information theory are covered in detail, including ... Read more

    $110.00 USD

  • Performance Analysis of Complex Networks and Systems

    by Piet Van Mieghem ...
    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

    $91.09 USD

  • Numerical Methods for Stochastic Computations

    A Spectral Method Approach

    by Dongbin Xiu ...
    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

    $57.59 USD

  • Matrix Algebra

    Theory, Computations and Applications in Statistics

    by James E. Gentle ...
    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

    $116.09 USD

  • 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

    $81.19 USD

  • 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

    $81.19 USD

  • Nonlinear Optimization

    by Andrzej Ruszczynski ...
    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

    $95.09 USD

  • Parameter Estimation and Inverse Problems

    by Richard C. Aster, Brian Borchers, Clifford H. Thurber ...
    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

    $71.09 USD

  • Kernel-based Approximation Methods Using Matlab

    by Gregory E Fasshauer, Michael J Mccourt ...
    Series Book 19 - Interdisciplinary Mathematical Sciences
    In an attempt to introduce application scientists and graduate students to the exciting topic of positive definite kernels and radial basis functions, this book presents modern theoretical results on kernel-based approximation methods and demonstrates their implementation in various settings. The authors explore the historical context of this fascinating topic and explain recent advances as ... Read more

    $30.59 USD

  • Probability, Random Processes, and Statistical Analysis

    Applications to Communications, Signal Processing, Queueing Theory and Mathematical Finance

    by Hisashi Kobayashi, Brian L. Mark, William Turin ...
    Together with the fundamentals of probability, random processes and statistical analysis, this insightful book also presents a broad range of advanced topics and applications. There is extensive coverage of Bayesian vs. frequentist statistics, time series and spectral representation, inequalities, bound and approximation, maximum-likelihood estimation and the expectation-maximization (EM) ... Read more

    $85.29 USD

  • A Mathematical Introduction to Compressive Sensing

    by Simon Foucart, Holger Rauhut ...
    Series series Applied and Numerical Harmonic Analysis
    At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. Based on the premise that data acquisition and compression can be performed simultaneously, compressive sensing finds applications in imaging, signal processing, and many other domains. In the areas of applied mathematics, electrical engineering, and theoretical computer science, ... Read more

    $62.99 USD