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  • Mellin transform of dual function  (1)
  • Relaxation methods  (1)
  • Springer  (2)
  • Elsevier
  • National Academy of Sciences
  • 1975-1979  (2)
Sammlung
Verlag/Herausgeber
  • Springer  (2)
  • Elsevier
  • National Academy of Sciences
Erscheinungszeitraum
  • 1975-1979  (2)
Jahr
  • 1
    Digitale Medien
    Digitale Medien
    Springer
    European biophysics journal 2 (1976), S. 119-137 
    ISSN: 1432-1017
    Schlagwort(e): Valinomycin ; Lipid membranes ; Fluorescence ; Relaxation methods
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Biologie , Physik
    Notizen: Summary Dansyllysine-valinomycin, a fluorescent analogue of the ionophore valinomycin was synthesized and incorporated into black lipid membranes. Its concentration inside the membrane was measured fluorometrically and was also determined from electrical relaxation experiments, which were analyzed on the basis of a previously proposed carrier model. The results of both methods agreed within less than one order of magnitude. This appears satisfactory in view of the sources of error inherent in both procedures. A conductance increment per carrier molecule of about 3 · 10−17 Ω−1 was obtained for dansyllysine-valinomycin in diphytanoyllecithin membranes at 25
    Materialart: Digitale Medien
    Standort Signatur Erwartet Verfügbarkeit
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  • 2
    Digitale Medien
    Digitale Medien
    Springer
    Journal of optimization theory and applications 23 (1977), S. 167-182 
    ISSN: 1573-2878
    Schlagwort(e): Stochastic zero-degree geometric programs ; Mellin transform of dual function ; lognormal distribution of objective function
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Mathematik
    Notizen: Abstract The Mellin transform is used to encode randomness in the constraint and objective function coefficients using the substituted dual function. This enables one to obtain statistical moments and the probability distribution of the optimal objective valueZ*. Advantage is taken of the form of the dual function and the limiting property of the lognormal distribution to prove that the probability distribution ofZ* approximates the lognormal distribution, independent of the distribution of the parameters. This is of importance because those probability distributions are seldom known; even if they are, a derivation of the distribution ofZ* is apt to be elusive. Further, the larger the number of stochastic parameters in the geometric program, the more closely, in general, does the distribution ofZ* approximate the lognormal distribution. Illustrative examples are provided.
    Materialart: Digitale Medien
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
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