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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.

  • Elementary Linear Algebra, Students Solutions Manual (e-only)

    • 1st Edition
    • Stephen Andrilli + 1 more
    • English

  • Advances in Computers

    • 1st Edition
    • Volume 79
    • Marvin Zelkowitz
    • English
    This is volume 79 of Advances in Computers. This series, which began publication in 1960, is the oldest continuously published anthology that chronicles the ever- changing information technology field. In these volumes we publish from 5 to 7 chapters, three times per year, that cover the latest changes to the design, development, use and implications of computer technology on society today.

  • Advances in Computers

    Improving the Web
    • 1st Edition
    • Volume 78
    • Marvin Zelkowitz
    • English
    This is volume 78 of Advances in Computers. This series, which began publication in 1960, is the oldest continuously published anthology that chronicles the ever- changing information technology field. In these volumes we publish from 5 to 7 chapters, three times per year, that cover the latest changes to the design, development, use and implications of computer technology on society today.

  • Advanced Calculus

    A Transition to Analysis, Instructor Solutions Manual (e-only)
    • 1st Edition
    • Joseph B. Dence + 1 more
    • English

  • Introductory Statistics

    • 3rd Edition
    • Sheldon M. Ross
    • English
    Introductory Statistics, Third Edition, presents statistical concepts and techniques in a manner that will teach students not only how and when to utilize the statistical procedures developed, but also to understand why these procedures should be used. This book offers a unique historical perspective, profiling prominent statisticians and historical events in order to motivate learning. To help guide students towards independent learning, exercises and examples using real issues and real data (e.g., stock price models, health issues, gender issues, sports, scientific fraud) are provided. The chapters end with detailed reviews of important concepts and formulas, key terms, and definitions that are useful study tools. Data sets from text and exercise material are available for download in the text website. This text is designed for introductory non-calculus based statistics courses that are offered by mathematics and/or statistics departments to undergraduate students taking a semester course in basic Statistics or a year course in Probability and Statistics.

  • Elementary Linear Algebra, Instructor Solutions Manual (e-only)

    • 1st Edition
    • David Hecker + 1 more
    • English

  • Introduction to Probability Models, Student Solutions Manual (e-only)

    Introduction to Probability Models 10th Edition
    • 1st Edition
    • Sheldon M. Ross
    • English

  • A Concrete Approach to Abstract Algebra

    From the Integers to the Insolvability of the Quintic
    • 1st Edition
    • Jeffrey Bergen
    • English
    A Concrete Approach to Abstract Algebra presents a solid and highly accessible introduction to abstract algebra by providing details on the building blocks of abstract algebra.It begins with a concrete and thorough examination of familiar objects such as integers, rational numbers, real numbers, complex numbers, complex conjugation, and polynomials. The author then builds upon these familiar objects and uses them to introduce and motivate advanced concepts in algebra in a manner that is easier to understand for most students. Exercises provide a balanced blend of difficulty levels, while the quantity allows the instructor a latitude of choices. The final four chapters present the more theoretical material needed for graduate study.This text will be of particular interest to teachers and future teachers as it links abstract algebra to many topics which arise in courses in algebra, geometry, trigonometry, precalculus, and calculus.

  • Elementary Linear Algebra

    • 4th Edition
    • Stephen Andrilli + 1 more
    • English
    Elementary Linear Algebra develops and explains in careful detail the computational techniques and fundamental theoretical results central to a first course in linear algebra. This highly acclaimed text focuses on developing the abstract thinking essential for further mathematical study The authors give early, intensive attention to the skills necessary to make students comfortable with mathematical proofs. The text builds a gradual and smooth transition from computational results to general theory of abstract vector spaces. It also provides flexbile coverage of practical applications, exploring a comprehensive range of topics. Ancillary list:* Maple Algorithmic testing- Maple TA- www.maplesoft.com

  • Statistical Bioinformatics with R

    • 1st Edition
    • Sunil K. Mathur
    • English
    Statistical Bioinformatics provides a balanced treatment of statistical theory in the context of bioinformatics applications. Designed for a one or two semester senior undergraduate or graduate bioinformatics course, the text takes a broad view of the subject – not just gene expression and sequence analysis, but a careful balance of statistical theory in the context of bioinformatics applications. The inclusion of R & SAS code as well as the development of advanced methodology such as Bayesian and Markov models provides students with the important foundation needed to conduct bioinformatics.

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