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Elsevier

Books in Mathematics

The Mathematics collection presents a range of foundational and advanced research content across applied and discrete mathematics, including fields such as Computational Mathematics; Differential Equations; Linear Algebra; Modelling & Simulation; Numerical Analysis; Probability & Statistics.

  • A First Course in Stochastic Processes

    • 2nd Edition
    • Samuel Karlin + 1 more
    • English
    The purpose, level, and style of this new edition conform to the tenets set forth in the original preface. The authors continue with their tack of developing simultaneously theory and applications, intertwined so that they refurbish and elucidate each other. The authors have made three main kinds of changes. First, they have enlarged on the topics treated in the first edition. Second, they have added many exercises and problems at the end of each chapter. Third, and most important, they have supplied, in new chapters, broad introductory discussions of several classes of stochastic processes not dealt with in the first edition, notably martingales, renewal and fluctuation phenomena associated with random sums, stationary stochastic processes, and diffusion theory.

  • General Systems Theory: Mathematical Foundations

    • 1st Edition
    • Volume 113
    • English
    In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; andmethods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.As a result, the book represents a blend of new methods in general computational analysis,and specific, but also generic, techniques for study of systems theory ant its particularbranches, such as optimal filtering and information compression.

  • Localization of Nilpotent Groups and Spaces

    • 1st Edition
    • Volume 15
    • English

  • Statistical Distributions

    • 1st Edition
    • N. A. J. Hastings + 1 more
    • English

  • Global Theory of a Second Order Linear Ordinary Differential Equation with a Polynomial Coefficient

    • 1st Edition
    • Volume 18
    • English

  • Hewitt-Nachbin Spaces

    • 1st Edition
    • Volume 17
    • English

  • Basic linear partial differential equations

    • 1st Edition
    • Volume 62
    • English

  • Computer Concepts and Assembler Programming

    360/370 Systems
    • 1st Edition
    • Richard H. Stark + 1 more
    • English

  • Computers in Laboratory Medicine

    • 1st Edition
    • Derek Enlander
    • English

  • Noneuclidean Tesselations and Their Groups

    • 1st Edition
    • Volume 61
    • English

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