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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.

  • FORTRAN 77

    • 2nd Edition
    • Samuel L. Marateck
    • English

  • Combinatorics '81

    In Honour of Beniamino Segre
    • 1st Edition
    • Volume 18
    • P.V. Ceccherini + 2 more
    • English

  • Mathematical Experiments on the Computer

    • 1st Edition
    • Volume 105
    • English

  • Spectral Analysis and Time Series, Two-Volume Set

    Volumes I and II
    • 1st Edition
    • Volume 1-2
    • M. B. Priestley
    • English
    A principal feature of this book is the substantial care and attention devoted to explaining the basic ideas of the subject. Whenever a new theoretical concept is introduced it is carefully explained by reference to practical examples drawn mainly from the physical sciences. Subjects covered include: spectral analysis which is closely intertwined with the "time domain" approach, elementary notions of Hilbert Space Theory, basic probability theory, and practical analysis of time series data. The inclusion of material on "kalman filtering", state-space filtering", "non-linear models" and continuous time" models completes the impressive list of unique and detailed features which will give this book a prominent position among related literature. The first section—Volume 1—deals with single (univariate) series, while the second—Volume 2—treats the analysis of several (multivariate) series and the problems of prediction, forecasting and control.

  • Rings That are Nearly Associative

    • 1st Edition
    • Volume 104
    • English

  • System Theory

    A Hilbert space approach
    • 1st Edition
    • Volume 102
    • English

  • Stochastic Models, Estimation, and Control

    • 1st Edition
    • Volume 3
    • Peter S. Maybeck
    • English
    This volume builds upon the foundations set in Volumes 1 and 2. Chapter 13 introduces the basic concepts of stochastic control and dynamic programming as the fundamental means of synthesizing optimal stochastic control laws.

  • Quantum Mechanics in Hilbert Space

    • 1st Edition
    • Volume 92
    • English

  • The Bochner Integral

    • 1st Edition
    • Volume 77
    • English

  • Stochastic Models: Estimation and Control: v. 2

    • 1st Edition
    • Volume 141B
    • Maybeck
    • English

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