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Bulletin of the American Mathematical Society

The Bulletin publishes expository articles on contemporary mathematical research, written in a way that gives insight to mathematicians who may not be experts in the particular topic. The Bulletin also publishes reviews of selected books in mathematics and short articles in the Mathematical Perspectives section, both by invitation only.

ISSN 1088-9485 (online) ISSN 0273-0979 (print)

The 2020 MCQ for Bulletin of the American Mathematical Society is 0.84.

What is MCQ? The Mathematical Citation Quotient (MCQ) measures journal impact by looking at citations over a five-year period. Subscribers to MathSciNet may click through for more detailed information.

 

Book Review

The AMS does not provide abstracts of book reviews. You may download the entire review from the links below.


MathSciNet review: 1567813
Full text of review: PDF   This review is available free of charge.
Book Information:

Authors: J. F. Traub, G. W. Wasilkowski and H. Woźniakowski
Title: Information-based complexity
Additional book information: Academic Press, Boston, San Diego, and New York, 1988, xiii + 523 pp., $64.50. ISBN 0-12-697545-0.

References [Enhancements On Off] (What's this?)

[CA] D. Creperley and B. Adler, Quantum Monte Carlo, Science 231 (1986), 555-560.

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  • C. A. Micchelli and T. J. Rivlin, A survey of optimal recovery, Optimal estimation in approximation theory (Proc. Internat. Sympos., Freudenstadt, 1976) Plenum, New York, 1977, pp. 1–54. MR 0617931
  • Edward W. Packel and Henryk Woźniakowski, Recent developments in information-based complexity, Bull. Amer. Math. Soc. (N.S.) 17 (1987), no. 1, 9–36. MR 888879, DOI 10.1090/S0273-0979-1987-15511-X
  • [PT] E. Packel and J. Traub, Information-based complexity, Nature 327 (1987), 29-33.

  • Steve Smale, On the efficiency of algorithms of analysis, Bull. Amer. Math. Soc. (N.S.) 13 (1985), no. 2, 87–121. MR 799791, DOI 10.1090/S0273-0979-1985-15391-1
  • J. F. Traub, Iterative methods for the solution of equations, Prentice-Hall Series in Automatic Computation, Prentice-Hall, Inc., Englewood Cliffs, N.J., 1964. MR 0169356
  • Arthur G. Werschulz, Optimal error properties of finite element methods for second order elliptic Dirichlet problems, Math. Comp. 38 (1982), no. 158, 401–413. MR 645658, DOI 10.1090/S0025-5718-1982-0645658-4

  • Review Information:

    Reviewer: Mark A. Kon
    Journal: Bull. Amer. Math. Soc. 21 (1989), 332-339
    DOI: https://doi.org/10.1090/S0273-0979-1989-15851-5