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Books in Computer science

The Computing collection presents a range of foundational and applied content across computer and data science, including fields such as Artificial Intelligence; Computational Modelling; Computer Networks, Computer Organization & Architecture, Computer Vision & Pattern Recognition, Data Management; Embedded Systems & Computer Engineering; HCI/User Interface Design; Information Security; Machine Learning; Network Security; Software Engineering.

BooksJournals

    • Advances in Computers

      • 1st Edition
      • Volume 9
      • January 1, 1969
      • English
      • eBook
        9 7 8 0 0 8 0 5 6 6 4 1 2

    • The Special Functions and Their Approximations

      • 1st Edition
      • Volume 53A
      • January 1, 1969
      • Yudell L. Luke
      • English
      • Paperback
        9 7 8 0 1 2 4 1 1 0 3 7 3
      • eBook
        9 7 8 0 0 8 0 9 5 5 6 0 5
      A detailed and self-contained and unified treatment of many mathematical functions which arise in applied problems, as well as the attendant mathematical theory for their approximations. many common features of the Bessel functions, Legendre functions, incomplete gamma functions, confluent hypergeometric functions, as well as of otherw, can be derived. Hitherto, many of the material upon which the volumes are based has been available only in papers scattered throughout the literature.

    • Differential and Integral Inequalities: Theory and Applications

      • 1st Edition
      • Volume 55A
      • January 1, 1969
      • V. Lakshmikantham + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 4 1 1 0 3 0 4
      • eBook
        9 7 8 0 0 8 0 9 5 5 6 3 6
      This volume constitutes the first part of a monograph on theory and applications of differential and integral inequalities. 'The entire work, as a whole, is intended to be a research monograph, a guide to the literature, and a textbook for advanced courses. The unifying theme of this treatment is a systematic development of the theory and applicationsof differential inequalities as well as Volterra integral inequalities. The main tools for applications are the norm and the Lyapunov functions. Familiarity with real and complex analysis, elements of general topology and functional analysis, and differential and integral equations is assumed.

    • Introduction to Operations Research

      • 1st Edition
      • Volume 47
      • January 1, 1968
      • Faure
      • English
      • Paperback
        9 7 8 0 1 2 4 1 1 0 2 1 2
      • eBook
        9 7 8 0 0 8 0 9 5 5 5 5 1

Related subjects

Applications

Artificial intelligence

Business intelligence

Computer systems organization

Computer vision and pattern recognition

Computing milieux

Data

Graphics cad hci

Hardware and architecture

Information systems

Internet and web technology

Software

Theory and mathematics