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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.

  • Study Guide to Accompany Computers Data and Processing

    • 1st Edition
    • Harvey M. Deitel + 1 more
    • English
    Study Guide to Accompany Computer and Data Processing provides information pertinent to the fundamental aspects of computers and computer technology. This book presents the key benefits of using computers. Organized into five parts encompassing 19 chapters, this book begins with an overview of the evolution of modern computing systems from the earliest mechanical calculating devices to microchips. This text then introduces computer hardware and describes the processor. Other chapters describe how microprocessors are made and describe the physical operation of computers. This book discusses as well how computers present their outputs and explains the storage and retrieval of massive amounts of computer-accessible information from secondary storage devices. The final chapter discusses the use of computers in the transportation systems and the ways in which they make possible other innovations in transportation. This book is a valuable resource for computer scientists, systems analysts, computer programmers, mathematicians, historians, computer specialists, and students.

  • Hyperbolic Equations and Related Topics

    Proceedings of the Taniguchi International Symposium, Katata and Kyoto, 1984
    • 1st Edition
    • Sigeru Mizohata
    • English
    Hyperbolic Equations and Related Topics covers the proceedings of the Taniguchi International Symposium, held in Katata, Japan on August 27-31, 1984 and in Kyoto, Japan on September 3-5, 1984. The book focuses on the mathematical analyses involved in hyperbolic equations. The selection first elaborates on complex vector fields; holomorphic extension of CR functions and related problems; second microlocalization and propagation of singularities for semi-linear hyperbolic equations; and scattering matrix for two convex obstacles. Discussions focus on the construction of asymptotic solutions, singular vector fields and Leibniz formula, second microlocalization along a Lagrangean submanifold, and hypo-analytic structures. The text then ponders on the Cauchy problem for effectively hyperbolic equations and for uniformly diagonalizable hyperbolic systems in Gevrey classes. The book takes a look at generalized Hamilton flows and singularities of solutions of the hyperbolic Cauchy problem and analytic and Gevrey well-posedness of the Cauchy problem for second order weakly hyperbolic equations with coefficients irregular in time. The selection is a dependable reference for researchers interested in hyperbolic equations.

  • Analytic Computational Complexity

    • 1st Edition
    • J.F. Traub
    • English
    Analytic Computational Complexity contains the proceedings of the Symposium on Analytic Computational Complexity held by the Computer Science Department, Carnegie-Mellon University, Pittsburgh, Pennsylvania, on April 7-8, 1975. The symposium provided a forum for assessing progress made in analytic computational complexity and covered topics ranging from strict lower and upper bounds on iterative computational complexity to numerical stability of iterations for solution of nonlinear equations and large linear systems. Comprised of 14 chapters, this book begins with an introduction to analytic computational complexity before turning to proof techniques used in analytic complexity. Subsequent chapters focus on the complexity of obtaining starting points for solving operator equations by Newton's method; maximal order of multipoint iterations using n evaluations; the use of integrals in the solution of nonlinear equations in N dimensions; and the complexity of differential equations. Algebraic constructions in an analytic setting are also discussed, along with the computational complexity of approximation operators. This monograph will be of interest to students and practitioners in the fields of applied mathematics and computer science.

  • Recent Developments in Clustering and Data Analysis

    Développements Récents en Classification Automatique et Analyse des Données: Proceedings of the Japanese-French Scientific Seminar March 24–26, 1987
    • 1st Edition
    • Chikio Hayashi + 2 more
    • English
    Recent Developments in Clustering and Data Analysis presents the results of clustering and multidimensional data analysis research conducted primarily in Japan and France. This book focuses on the significance of the data itself and on the informatics of the data. Organized into four sections encompassing 35 chapters, this book begins with an overview of the quantification of qualitative data as a method of analyzing statistically multidimensional data. This text then examines the rules of interpretation of correspondence cluster analysis by selecting classes and explaining variables involved in the algorithm of hierarchical classification. Other chapters consider the bootstrap and cross-validation methods, which are applied to the logistic ad nonparametric regression analyses of ordered categorical responses. The final chapter deals with a simpler treatment to classify the sleep state. This book is a valuable resource for researchers and workers in the fields from the behavioral sciences, biological sciences, medicine, and industrial sciences.

  • Computer Literacy

    Issues and Directions for 1985
    • 1st Edition
    • Robert J. Seidel + 2 more
    • English
    Computer Literacy: Issues and Directions for 1985 is based on a conference entitled "National Goals for Computer Literacy in 1985", held in Reston, Virginia, on December 18-20, 1980, under the auspices of the National Science Foundation. The conference provided a forum for discussing views on computer literacy, as well as methods for infusion of computer-related objectives and activities into existing curricula for different age levels. Issues and barriers to developing national goals for achieving a computer-literate society in the United States are also examined. Comprised of 31 chapters, this book begins by presenting four major approaches to a perspective on computer literacy: impact of computer literacy on the citizenry; major national components of a computer literacy program; development of an information handling curriculum for an evolving computer literacy concept; and a 30-year historical overview of "computer events in three strands" (research/developmen... education, and social/political institutional). The next section considers the definitions and requirements of computer literacy as they impact society, students, and teachers. The use of the computer in cognitive research and in problem solving is also discussed, together with curriculum development in computer literacy. This monograph will be of interest to students, teachers, school administrators, and educational policymakers.

  • Applied Time Series Analysis II

    Proceedings of the Second Applied Time Series Symposium Held in Tulsa, Oklahoma, March 3-5, 1980
    • 1st Edition
    • David F. Findley
    • English
    Applied Time Series Analysis II contains the proceedings of the Second Applied Time Series Symposium Held in Tulsa, Oklahoma, on March 3-5, 1980. The symposium provided a forum for discussing significant advances in time series analysis and signal processing. Effective alternatives to the familiar least-square and maximum likelihood procedures are described, along with maximum likelihood procedures for modeling irregularly sampled series and for classifying non-stationary series. Comprised of 22 chapters, this volume begins with an introduction to the multidimensional filtering theory and presents specific case histories related to the multidimensional recursive filter stability problem; the least squares inverse problem; realization of filters; and spectral estimation. The unique properties of the three-dimensional wave equation are also considered. Subsequent chapters focus on high-resolution spectral estimators; time series analysis of geophysical inverse scattering problems; minimum entropy deconvolution; and fitting of a continuous time autoregression to discrete data. This monograph will appeal to students and practitioners in the fields of mathematics and statistics, electrical and electronics engineering, and information and computer sciences.

  • The Mathematical Theory of Coding

    • 1st Edition
    • Ian F. Blake + 1 more
    • English
    The Mathematical Theory of Coding focuses on the application of algebraic and combinatoric methods to the coding theory, including linear transformations, vector spaces, and combinatorics. The publication first offers information on finite fields and coding theory and combinatorial constructions and coding. Discussions focus on self-dual and quasicyclic codes, quadratic residues and codes, balanced incomplete block designs and codes, bounds on code dictionaries, code invariance under permutation groups, and linear transformations of vector spaces over finite fields. The text then takes a look at coding and combinatorics and the structure of semisimple rings. Topics include structure of cyclic codes and semisimple rings, group algebra and group characters, rings, ideals, and the minimum condition, chains and chain groups, dual chain groups, and matroids, graphs, and coding. The book ponders on group representations and group codes for the Gaussian channel, including distance properties of group codes, initial vector problem, modules, group algebras, andrepresentations, orthogonality relationships and properties of group characters, and representation of groups. The manuscript is a valuable source of data for mathematicians and researchers interested in the mathematical theory of coding.

  • Oriented Projective Geometry

    A Framework for Geometric Computations
    • 1st Edition
    • Jorge Stolfi
    • English
    Oriented Projective Geometry: A Framework for Geometric Computations proposes that oriented projective geometry is a better framework for geometric computations than classical projective geometry. The aim of the book is to stress the value of oriented projective geometry for practical computing and develop it as a rich, consistent, and effective tool for computer programmers. The monograph is comprised of 20 chapters. Chapter 1 gives a quick overview of classical and oriented projective geometry on the plane, and discusses their advantages and disadvantages as computational models. Chapters 2 through 7 define the canonical oriented projective spaces of arbitrary dimension, the operations of join and meet, and the concept of relative orientation. Chapter 8 defines projective maps, the space transformations that preserve incidence and orientation; these maps are used in chapter 9 to define abstract oriented projective spaces. Chapter 10 introduces the notion of projective duality. Chapters 11, 12, and 13 deal with projective functions, projective frames, relative coordinates, and cross-ratio. Chapter 14 tells about convexity in oriented projective spaces. Chapters 15, 16, and 17 show how the affine, Euclidean, and linear vector spaces can be emulated with the oriented projective space. Finally, chapters 18 through 20 discuss the computer representation and manipulation of lines, planes, and other subspaces. Computer scientists and programmers will find this text invaluable.

  • An Introduction to Data Base Design

    • 1st Edition
    • Betty Joan Salzberg
    • English
    An Introduction to Data Base Design provides an understanding of how data base management systems (DBMS) work to be able to use any available commercial DBMS intelligently. This book presents the principle of independence of physical and local organization. Organized into seven chapters, this book begins with an overview of normal form theory. This text then describes the three types of DBMS. Other chapters consider the difficulties in processing queries where the names of the files are not mentioned. This book discusses as well how to group data hierarchically, how to use a preorder tree traversal to represent the data, and how to convert a network organization to a hierarchical one. The final chapter deals with four essential issues in data base theory, namely, recovery, security, integrity, and concurrency. This book is a valuable resource for computer science students in the junior or senior year, and people in industry who are doing technical work using data bases.

  • An Introduction to Stochastic Modeling

    • 1st Edition
    • Howard M. Taylor + 1 more
    • English
    An Introduction to Stochastic Modeling, Revised Edition provides information pertinent to the standard concepts and methods of stochastic modeling. This book presents the rich diversity of applications of stochastic processes in the sciences. Organized into nine chapters, this book begins with an overview of diverse types of stochastic models, which predicts a set of possible outcomes weighed by their likelihoods or probabilities. This text then provides exercises in the applications of simple stochastic analysis to appropriate problems. Other chapters consider the study of general functions of independent, identically distributed, nonnegative random variables representing the successive intervals between renewals. This book discusses as well the numerous examples of Markov branching processes that arise naturally in various scientific disciplines. The final chapter deals with queueing models, which aid the design process by predicting system performance. This book is a valuable resource for students of engineering and management science. Engineers will also find this book useful.

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