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Applications of the Maximum Entropy Method in Mathematics and Physics

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The Maximum Entropy Method

Part of the book series: Springer Series in Information Sciences ((SSINF,volume 32))

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Abstract

This chapter is concerned with the MEM applications in mathematics and physics. First of all, we would like to say a few words about the terminology and notation to be used.

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References

  1. L. R. Mead, N. Papanicolaou: J. Math. Phys. 25, 2404–2417 (1984).

    Article  MathSciNet  ADS  Google Scholar 

  2. D. V. Widder: The Laplace Transform (Princeton University Press, Princeton, NJ 1946).

    Google Scholar 

  3. S. Ciulli, M. Mounsif, N. Gorman, T. D. Spearman: J. Math. Phys. 31, 1717–1719 (1991).

    Article  MathSciNet  ADS  Google Scholar 

  4. S. Kopec, G. L. Bretthorst: “Entropy, moments and probability theory”, in Maximum Entropy and Bayesian Methods, ed. by A. Mohammad-Djafari, G. Demoments (Kluwer, Dordrecht, Netherlands 1993) pp. 25–30.

    Google Scholar 

  5. J. G. Wheeler, R. G Gordon: J. Chem. Phys. 51, 5566–5583 (1969).

    ADS  Google Scholar 

  6. L. E. Mead: J. Math. Phys. 27, 2903–2907 (1986).

    Article  MathSciNet  ADS  MATH  Google Scholar 

  7. S. Kopec: J. Math. Phys. 32, 1269–1272 (1991).

    Article  MathSciNet  ADS  MATH  Google Scholar 

  8. S. Kopec: “On application of MaxEnt to solving Fredholm integral equations”, in Maximum Entropy and Bayesian Methods, ed. by A. Mohammad- Djafari, G. Demoments (Kluwer, Dordrecht, Netherlands 1993) pp. 63–66.

    Google Scholar 

  9. P. Hick, G. Stevens: Astron. Astrophys. 172, 350–358 (1987).

    ADS  Google Scholar 

  10. E. T. Jaynes: Phys. Eev. 106, 620–630 (1957); ibid. 108, 171–190 (1957).

    Google Scholar 

  11. E. T. Jaynes: “Predictive statistical mechanics”; in Frontiers of Nonequilibriurn Statistical Physics, Proc. NATO Adv. Study Institute, ed. by G. T. Moore, M. U. Scully (Pelnum, New York, NY 1986) pp. 33–56.

    Google Scholar 

  12. K. Huang: Statistical Mechanics (Wiley, New York, NY 1987).

    MATH  Google Scholar 

  13. F. Reif: Statistical Physics, Berkeley Physics Course, vol. 5 (McGraw-Hill, New York, NY 1965).

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Physics and Astronomy, York University, Petrie Science Building 4700 Keele Street, M3J 1P3, Toronto, Ontario, Canada

    Dr. Nailong Wu

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  1. Dr. Nailong Wu
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© 1997 Springer-Verlag Berlin Heidelberg

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Wu, N. (1997). Applications of the Maximum Entropy Method in Mathematics and Physics. In: The Maximum Entropy Method. Springer Series in Information Sciences, vol 32. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60629-8_5

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  • DOI: https://doi.org/10.1007/978-3-642-60629-8_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-64484-9

  • Online ISBN: 978-3-642-60629-8

  • eBook Packages: Springer Book Archive

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