Skip to main content

Academic Press

Handbook of Networking & Connectivity
1st Edition
Gary R. McClain
English
Handbook of Networking & Connectivity focuses on connectivity standards in use, including hardware and software options. The book serves as a guide for solving specific problems that arise in designing and maintaining organizational networks. The selection first tackles open systems interconnection, guide to digital communications, and implementing TCP/IP in an SNA environment. Discussions focus on elimination of the SNA backbone, routing SNA over internets, connectionless versus connection-oriented networks, internet concepts, application program interfaces, basic principles of layering, protocols and services, application layer, and conformance testing. The book then takes a look at integrated services digital network, an overview of the synchronous optical network, and X.25 and worldwide networking. The publication ponders on Metropolitan Area Networks (MAN), an overview of the switched multimegabit data service, and Ethernet/802.3 and Token Ring/802.5. Topics include Ethernet versus token ring, Ethernet/802.3, customer network management, MAN conception and technology, and SMDS specifications and sources and interface protocol. The selection is a vital source of data for systems professionals and researchers interested in networking and connectivity.
Computer-Aided Processes in Instruction and Research
1st Edition
George C. Beakley + 1 more
English
Computer-Aided Processes in Instruction and Research describes the course content, computer performance software developed, and the manner that they are used by each student during the design process. This book describes the database that is developed to further aid students who use the digital computer. Organized into 24 chapters, this book begins with an overview of the design of an aerospace vehicle. This text then explains the fundamentals of microcomputers and the use of computer-aided data acquisition in a mechanical measurements course. Other chapters provide a brief explanation for the heavy use of graphics, which is applied when comparing graphical input to numerical input. This book presents as well a summary of work on a project that combines computer-aided instruction (CAI) and artificial intelligence (AI). The final chapter deals with the establishment of a joint venture between universities and industry whereby the university utilizes equipment provided by industry to solve some of the existing problems. This book is a valuable resource for engineering students and practicing engineers.
Mathematical Algorithms for Linear Regression
1st Edition
Helmuth Späth
Werner Rheinboldt
English
Mathematical Algorithms for Linear Regression discusses numerous fitting principles related to discrete linear approximations, corresponding numerical methods, and FORTRAN 77 subroutines. The book explains linear Lp regression, method of the lease squares, the Gaussian elimination method, the modified Gram-Schmidt method, the method of least absolute deviations, and the method of least maximum absolute deviation. The investigator can determine which observations can be classified as outliers (those with large errors) and which are not by using the fitting principle. The text describes the elimination of outliers and the selection of variables if too many or all of them are given by values. The clusterwise linear regression accounts if only a few of the relevant variables have been collected or are collectible, assuming that their number is small in relation to the number of observations. The book also examines linear Lp regression with nonnegative parameters, the Kuhn-Tucker conditions, the Householder transformations, and the branch-and-bound method. The text points out the method of least squares is mainly used for models with nonlinear parameters or for orthogonal distances. The book can serve and benefit mathematicians, students, and professor of calculus, statistics, or advanced mathematics.
A Research Primer for the Social and Behavioral Sciences
1st Edition
Miriam Schapiro Grosof + 1 more
English
A Research Primer for the Social and Behavioral Sciences provides an introductory but comprehensive overview of the research process that primarily concerns human subjects. This book discusses the methods of acquiring knowledge, importance of a well-chosen problem, review of the literature, and relationship between theory-building and hypothesis-testing. The common sources of invalidity in practice, non-experimental research types, Stevens' classification of scales, and estimation based on probabilistic sampling are also elaborated. This text likewise covers the role of computer in research, techniques for analysis of data, univariate and bivariate statistics, and assumptions underlying analysis of variance. Other topics include the canonical correlation analysis, non-parametric analysis of variance, deterministic problem analysis techniques, and common errors in presentation of findings. This publication is intended for novice investigators in the broad category of social and behavioral sciences.
Mastering Mathematica®
Programming Methods and Applications
1st Edition
John W. Gray
English
Mastering Mathematica®: Programming Methods and Applications presents the mathematical results and turn them into precise algorithmic procedures that can be executed by a computer. This book provides insight into more complex situations that can be investigated by hand. Organized into four parts, this book begins with an overview of the use of a pocket calculator. This text then looks in more detail at numerical calculations and solving equations, both algebraic and differential equations. Other parts consider the built-in graphics and show how to make pictures without programming. This book discusses as well the four styles of programming, namely, functional programming, imperative programming, rewrite programing, and object oriented programming. The reader is also introduced to differentiable mapping to show the analysis of critical points of functions and the developments in differential geometry that are required to study minimal surfaces. This book is a valuable resource for graduate students in mathematics, mathematics education, engineering, and the sciences.
Mathematical Tools for Applied Multivariate Analysis
1st Edition
Paul E. Green
English
Mathematical Tools for Applied Multivariate Analysis provides information pertinent to the aspects of transformational geometry, matrix algebra, and the calculus that are most relevant for the study of multivariate analysis. This book discusses the mathematical foundations of applied multivariate analysis. Organized into six chapters, this book begins with an overview of the three problems in multiple regression, principal components analysis, and multiple discriminant analysis. This text then presents a standard treatment of the mechanics of matrix algebra, including definitions and operations on matrices, vectors, and determinants. Other chapters consider the topics of eigenstructures and linear transformations that are important to the understanding of multivariate techniques. This book discusses as well the eigenstructures and quadratic forms. The final chapter deals with the geometric aspects of linear transformations. This book is a valuable resource for students.
Business Mathematics
1st Edition
Michael Sentlowitz
English
Business Mathematics deals with the concepts and problem-solving techniques used in business mathematics. Learning objectives are included at the beginning of each chapter to give the student an overview of the skills they can expect to master after completing the chapter, along with worked-out examples and practice exercises; drill problems and word problems; and post-tests that let students measure their problem-solving skills. Topics covered in this book include operations with whole numbers, decimals, fractions, and percent; sales and inventory; finance; business and personal expenses; borrowing and investing; and data analysis. Starting with the fourth chapter, a case study is included at the end of each chapter for an in-depth analysis and discussion of a hypothetical business-related situation. Optional subsections in each chapter deal with mental arithmetic skills. Step-by-step problem-solving procedures are translated into written formulas, located in easy-to-find boxes for quick reference. A chapter glossary includes definitions for all key terms introduced in the chapter. The answer key at the end of the text includes all the answers for the pretests and post-tests, plus the answers to odd-numbered exercises. This monograph is intended for instructors of business mathematics and for their students who want to understand the concepts and master the problem-solving techniques of business mathematics.
Introduction to Applied Probability
1st Edition
Paul E. Pfeiffer + 1 more
English
Introduction to Applied Probability provides a basis for an intelligent application of probability ideas to a wide variety of phenomena for which it is suitable. It is intended as a tool for learning and seeks to point out and emphasize significant facts and interpretations which are frequently overlooked or confused by the beginner. The book covers more than enough material for a one semester course, enhancing the value of the book as a reference for the student. Notable features of the book are: the systematic handling of combinations of events (Section 3-5); extensive use of the mass concept as an aid to visualization; an unusually careful treatment of conditional probability, independence, and conditional independence (Section 6-4); the resulting clarification facilitates the formulation of many applied problems; the emphasis on events determined by random variables, which gives unity and clarity to many topics important for interpretation; and the utilization of the indicator function, both as a tool for dealing with events and as a notational device in the handling of random variables. Students of mathematics, engineering, biological and physical sciences will find the text highly useful.
On Understanding Grammar
1st Edition
Talmy Givón
Harry A Whitaker
English
On Understanding Grammar covers the interdependencies among the various aspects of linguistics and the human language. This eight-chapter text considers some pertinent topics in linguistics, such as discourse-pragmatics... diachronic syntax, topology, creology, method, and ontology. Chapter 1 describes the notions of fact, theory, and explanation, particularly about how these notions manifest themselves in actual practice. Chapter 2 redefines syntax in terms of communicative function and discourse-pragmatics... and about the relation between the function of grammatical devices and their formal properties. Chapter 3 deals with discourse-pragmatics and how it transcends the narrow bounds of deductive logic, as well as the function and ontology of negation in language, and how those relate to the fundamental information-theoreti... principle of figure versus ground. Chapter 4 explores the two major aspects of case systems, namely, the semantic role and pragmatic function, and how the two interact in determining the typological characteristics of grammars. Chapter 5 examines the relation between discourse and syntax based on diachronic, ontogenetic, phylogenetic viewpoints. Chapter 6 tackles the relation between synchronic grammar and diachronic change, while Chapter 7 describes the relationship between human language and its phylogenetic evolution. Chapter 8 is about language and ontology, as well as the relation between cognition and the universe. This book will prove useful to linguistics and language researchers.
Matrix Methods
An Introduction
1st Edition
Richard Bronson
English
Matrix Methods: An Introduction is a nine-chapter text that emphasizes the methodological aspects of mathematical matrices. This book is intended for an introductory course in matrices similar to those given to sophomore and junior engineering students at Fairleigh Dickinson University. The first five chapters deal with the elementary aspects of matrices, including their definition, determinants, method of inversion, simultaneous linear equations, eigenvalues, and eigenvectors. The remaining chapters explore the materials of fundamental importance to both engineers and scientists. These chapters discuss the principles of matrix calculus, linear differential equations, Jordan canonical forms, and special matrices. A set of exercises is provided at the end of each section, which is basically routine in nature and serves primarily to enhance the reader's ability to use the methods just presented. On occasion, problems are assigned that will extend or complete topics previously introduced. This book is intended primarily for science, engineering, and applied mathematics students.

Browse by Publisher