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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.

  • Algebraic and Structural Automata Theory

    • 1st Edition
    • Volume 44
    • January 14, 1991
    • B. Mikolajczak
    • English
    Automata Theory is part of computability theory which covers problems in computer systems, software, activity of nervous systems (neural networks), and processes of live organisms development.The result of over ten years of research, this book presents work in the following areas of Automata Theory: automata morphisms, time-varying automata, automata realizations and relationships between automata and semigroups.Aimed at those working in discrete mathematics and computer science, parts of the book are suitable for use in graduate courses in computer science, electronics, telecommunications, and control engineering. It is assumed that the reader is familiar with the basic concepts of algebra and graph theory.
  • The Mathematics of Finite Elements and Applications VII

    MAFELAP 1990
    • 1st Edition
    • January 1, 1991
    • J. R. Whiteman
    • English
  • Stochastic Models in Queuing Theory

    • 1st Edition
    • January 1, 1991
    • J. Medhi
    • English
  • Digital Systems Reference Book

    • 1st Edition
    • January 1, 1991
    • Brian Holdsworth + 1 more
    • English
  • Windows 3 Pocket Book

    • 1st Edition
    • January 1, 1991
    • Ian Sinclair
    • English
  • Quantum Physics, Relativity, and Complex Spacetime

    • 1st Edition
    • Volume 163
    • December 11, 1990
    • G. Kaiser
    • English
    A new synthesis of the principles of quantum mechanics and Relativity is proposed in the context of complex differential geometry. The positivity of the energy implies that wave functions and fields can be extended to complex spacetime, and it is shown that this complexification has a solid physical interpretation as an extended phase space. The extended fields can be said to be realistic wavelet transforms of the original fields. A new, algebraic theory of wavelets is developed.
  • Classification Theory

    and the Number of Non-Isomorphic Models
    • 2nd Edition
    • Volume 92
    • December 6, 1990
    • S. Shelah
    • English
    In this research monograph, the author's work on classification and related topics are presented. This revised edition brings the book up to date with the addition of four new chapters as well as various corrections to the 1978 text.The additional chapters X - XIII present the solution to countable first order T of what the author sees as the main test of the theory. In Chapter X the Dimensional Order Property is introduced and it is shown to be a meaningful dividing line for superstable theories. In Chapter XI there is a proof of the decomposition theorems. Chapter XII is the crux of the matter: there is proof that the negation of the assumption used in Chapter XI implies that in models of T a relation can be defined which orders a large subset of m
  • Non-Linear Partial Differential Equations

    An Algebraic View of Generalized Solutions
    • 1st Edition
    • Volume 164
    • November 22, 1990
    • E.E. Rosinger
    • English
    A massive transition of interest from solving linear partial differential equations to solving nonlinear ones has taken place during the last two or three decades. The availability of better computers has often made numerical experimentations progress faster than the theoretical understanding of nonlinear partial differential equations. The three most important nonlinear phenomena observed so far both experimentally and numerically, and studied theoretically in connection with such equations have been the solitons, shock waves and turbulence or chaotical processes. In many ways, these phenomena have presented increasing difficulties in the mentioned order. In particular, the latter two phenomena necessarily lead to nonclassical or generalized solutions for nonlinear partial differential equations.
  • Categories, Allegories

    • 1st Edition
    • Volume 39
    • November 8, 1990
    • P.J. Freyd + 1 more
    • English
    General concepts and methods that occur throughout mathematics – and now also in theoretical computer science – are the subject of this book. It is a thorough introduction to Categories, emphasizing the geometric nature of the subject and explaining its connections to mathematical logic. The book should appeal to the inquisitive reader who has seen some basic topology and algebra and would like to learn and explore further.The first part contains a detailed treatment of the fundamentals of Geometric Logic, which combines four central ideas: natural transformations, sheaves, adjoint functors, and topoi. A special feature of the work is a general calculus of relations presented in the second part. This calculus offers another, often more amenable framework for concepts and methods discussed in part one. Some aspects of this approach find their origin in the relational calculi of Peirce and Schroeder from the last century, and in the 1940's in the work of Tarski and others on relational algebras. The representation theorems discussed are an original feature of this approach.
  • Statistical Methods in Longitudinal Research

    Time Series and Categorical Longitudinal Data
    • 1st Edition
    • Volume 2
    • October 28, 1990
    • Alexander von Eye
    • English
    These edited volumes present new statistical methods in a way that bridges the gap between theoretical and applied statistics. The volumes cover general problems and issues and more specific topics concerning the structuring of change, the analysis of time series, and the analysis of categorical longitudinal data. The book targets students of development and change in a variety of fields - psychology, sociology, anthropology, education, medicine, psychiatry, economics, behavioural sciences, developmental psychology, ecology, plant physiology, and biometry - with basic training in statistics and computing.