Skip to main content
Elsevier
View Cart

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.

  • Matrix Logic

    Theory and Applications
    • 1st Edition
    • A. Stern
    • English
    In this pioneering work, the author develops a fundamental formulation of logic in terms of theory of matrices and vector spaces. The discovery of matrix logic represents a landmark in the further formalization of logic. For the first time the power of direct mathematical computation is applied to the whole set of logic operations, allowing the derivation of both the classical and modal logics from the same formal base.The new formalism allows the author to enlarge the alphabet of the truth-values with negative logic antivalues and to link matrix logic descriptions with the Dirac formulation of quantum theory - a result having fundamental implications and repercussions for science as a whole.As a unified language which permits a logical examination of the underlying phenomena of quantum field theory and vice versa, matrix logic opens new avenues for the study of fundamental interactions and gives rise to a revolutionary conclusion that physics as such can be viewed and studied as a logic in the fundamental sense.Finally, modelling itself on exact sciences, matrix logic does not refute the classical logic but instead incorporates it as a special deterministic limit. The book requires multidisciplinary knowledge and will be of interest to physicists, mathematicians, computer scientists and engineers.

  • Ordinary Differential Equations

    Introduction to the Theory of Ordinary Differential Equations in the Real Domain
    • 1st Edition
    • Volume 13
    • J. Kurzweil
    • English
    The author, Professor Kurzweil, is one of the world's top experts in the area of ordinary differential equations - a fact fully reflected in this book. Unlike many classical texts which concentrate primarily on methods of integration of differential equations, this book pursues a modern approach: the topic is discussed in full generality which, at the same time, permits us to gain a deep insight into the theory and to develop a fruitful intuition. The basic framework of the theory is expanded by considering further important topics like stability, dependence of a solution on a parameter, Carathéodory's theory and differential relations.The book is very well written, and the prerequisites needed are minimal - some basics of analysis and linear algebra. As such, it is accessible to a wide circle of readers, in particular to non-mathematicians.

  • Prehistoric Hunter-Gatherers

    The Emergence of Cultural Complexity
    • 1st Edition
    • RABIGER
    • English
    Prehistoric Hunters–Gatherers: The Emergence of Cultural Complexity focuses on the emergence of cultural complexity among hunter–gatherers. This book presents the demographic, ecological, and social perspectives that add to the understanding of the emergence of more elaborate organization. Organized into four parts encompassing 17 chapters, this book begins with an overview of previous perspectives on cultural complexity and suggests directions in the study of change. This text then proposes a synthesis of both ecological and social approaches as a more powerful interpretative framework for the study of complexity. Other chapters consider the relationship between population and social complexity in an elaboration of major argument regarding demographic pressure and cultural change. This book provides as well an intriguing look at the regional consequences of their focus on whaling. The final chapter characterizes approaches to hunter–gatherer complexity and reiterates the significance of change in human society prior to the adoption of domesticated animals and plants. This book is a valuable resource for archeologists and anthropologists.

  • Linear Panel Analysis

    Models of Quantitative Change
    • 1st Edition
    • Ronald C. Kessler
    • English
    Linear Panel Analysis: Models of Quantitative Change focuses on the use of linear models in the analysis of change data measured on a sample of individuals over multiple time points. This book is organized into 12 chapters. After a general introduction to change analysis in Chapter 1, some basic algebraic results on change scores are presented in Chapter 2. Chapter 3 constructs and analyzes structural equation models for studying the causes of change, while Chapter 4 outlines several ways of simply describing change in groups. The uses and abuses of cross-lagged panel correlations are discussed in Chapter 5. Chapters 6 to 10 deal with a variety of special topics that arise in panel analysis. The alternatives to the analysis of over-time data for a set of individuals are described in Chapter 11. The last chapter is devoted to the practical aspects of designing and carrying out the data collection phase of a panel study. This publication is intended for social scientists who work with change data.

  • Annual Review in Automatic Programming

    International Tracts in Computer Science and Technology and Their Application, Vol. 4
    • 1st Edition
    • Richard Goodman
    • English
    Annual Review in Automatic Programming, Volume 4 is a collection of papers that deals with the GIER ALGOL compiler, a parameterized compiler based on mechanical linguistics, and the JOVIAL language. A couple of papers describes a commercial use of stacks, an IBM system, and what an ideal computer program support system should be. One paper reviews the system of compilation, the development of a more advanced language, programming techniques, machine independence, and program transfer to other machines. Another paper describes the ALGOL 60 system for the GIER machine including running ALGOL programs, storage allocation, addressing of variables, program references, procedure calls, storage problem of the translator, and writing the translator. Another paper investigates the internal operation of the ALGOL translator, the source and target languages, the parts of the translator, Polish postfix notation, symbol table in the translator, and the realization of the stack concept. One paper examines the components for a large digital computer, specific features, and compares these to IBM's IBSYS. The collection will prove valuable for programmers, computer engineers, computer instructors, and students of computer science.

  • Developments in Statistics

    • 1st Edition
    • Volume 1
    • Paruchuri R. Krishnaiah
    • English
    Development in Statistics, Volume 1 is a collection of papers that deals with theory and application of parameter estimation in stochastic differential systems, the comparative aspects of the study of ordinary time series, and real multivariate distributions. Some papers discuss covariance analysis of nonstationary time series, nonparametric repeated significance tests, as well as discrete optimal factorial designs for statisticians and investigators of experiments. One paper cites an application of parameter estimation in stochastic differential systems in approximates of stability and control derivatives from flight test data. Another paper cites cases where procedures of ordinary time series (or point processes) have direct analogs in the study of point processes (or ordinary time series). One paper explains the applications of multivariate distributions in simultaneous tests on the equality of eigenvalues toward the covariance matrix, canonical correlation matrix, and a matrix associated with the multivariate analysis of variance. Another paper reviews two types of repeated significance tests, namely, the genuinely distribution-free tests based on a broad class of nonparametric statistics; and the asymptotically distribution-free tests based on a broad class of parametric statistics but having asymptotically nonparametric behavior. Both types can provide a unified solution to a broad class of problems. The collection can be valuable for mathematicians, students, and professors of calculus, statistics, or advanced mathematics.

  • System-Theoretic Methods in Economic Modelling II

    • 1st Edition
    • Volume 22
    • S. Mittnik
    • English
    System-Theoretic Methods in Economic Modelling II complements the editor's earlier volume, bringing together current research efforts integrating system-theoretic concepts with economic modelling processes. The range of papers presented here goes beyond the long-accepted control-theoretic contributions in dynamic optimization and focuses on system-theoretic methods in the construction as well as the application stages of economic modelling. This volume initiates new and intensifies existing debate between researchers and practitioners within and across the disciplines involved, with the objective of encouraging interdisciplinary research. The papers are split into four sections - estimation, filtering and smoothing problems in the context of state space modelling; applying the state space concept to financial modelling; modelling rational expectation; and a miscellaneous section including a follow-up case study by Tse and Khilnani on their integrated system model for a fishery management process, which featured in the first volume.

  • Mathematical Problem Solving

    • 1st Edition
    • ALAN H. SCHOENFELD
    • English
    Mathematical Problem Solving provides information pertinent to the nature of mathematical thinking at any level. This book provides a framework for the analysis of complex problem-solving behavior. Organized into two parts encompassing 10 chapters, this book begins with an overview of the four qualitatively different aspects of complex intellectual activity, namely, cognitive resources, heuristics, control, and belief systems. This text then presents a series of empirical investigations that flesh out the analytical framework. Other chapters consider the ways that competent problem solvers make the most of the knowledge at their disposal. This book discusses as well the kind s of learning that can result from carefully designed instruction. The final chapter deals with observations made in typical high school classrooms, which serve to indicate some of the sources of students' mathematical behavior. This book is a valuable resource for mathematicians and mathematics teachers. Readers who are interested in higher-order thinking skills in any domain will also find this book useful.

  • Statistical Inferences for Stochastic Processes

    Theory and Methods
    • 1st Edition
    • Ishwar V. Basawa + 1 more
    • English
    Statistical Inference Stochastic Processes provides information pertinent to the theory of stochastic processes. This book discusses stochastic models that are increasingly used in scientific research and describes some of their applications. Organized into three parts encompassing 12 chapters, this book begins with an overview of the basic concepts and procedures of statistical inference. This text then explains the inference problems for Galton–Watson process for discrete time and Markov-branching processes for continuous time. Other chapters consider problems of prediction, filtering, and parameter estimation for some simple discrete-time linear stochastic processes. This book discusses as well the ergodic type chains with finite and countable state-spaces and describes some results on birth and death processes that are of a non-ergodic type. The final chapter deals with inference procedures for stochastic processes through sequential procedures. This book is a valuable resource for graduate students.

  • Subharmonic Functions

    Volume 2
    • 1st Edition
    • Volume 2
    • W. K. Hayman
    • P. M. Cohn + 1 more
    • English
    Building on the foundation laid in the first volume of Subharmonic Functions, which has become a classic, this second volume deals extensively with applications to functions of a complex variable. The material also has applications in differential equations and differential equations and differential geometry. It reflects the increasingly important role that subharmonic functions play in these areas of mathematics. The presentation goes back to the pioneering work of Ahlfors, Heins, and Kjellberg, leading to and including the more recent results of Baernstein, Weitsman, and many others. The volume also includes some previously unpublished material. It addresses mathematicians from graduate students to researchers in the field and will also appeal to physicists and electrical engineers who use these tools in their research work. The extensive preface and introductions to each chapter give readers an overview. A series of examples helps readers test their understatnding of the theory and the master the applications.

Related subjects