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The guessing exponent is normalized by n , and the additional terms go to 0 for large n , and are given by 1 n log(1+ln j X j n ) = O (log n=n ) : The results in the previous section on ...
ln (J) = [((x^2)/2)ln(x)] - [(x^2)/4] = [(x^2)/4](2ln(x) - 1) = [((x^2)/4)][ln(x^2) - ln(exp)] = [((x^2)/4)][ln((x^2)/(exp)] ln (J) = ln[(x^2)/exp]^[(x^2)/4]
The results are presented in the form of I - V characteristics and analysis has been made by interpretation of Poole-Frenkel, Fowler-Nordheim, Schottky ln( J ) vs T plots ...
— LG, J. Luttrell 42; LN, J. Tschoepe 25; LP, (tie) J. Luttrell, G. Haradon 13. Fourth — LG, M. Paredes 43; LN, J. Crawford 24; LP, G. Yeater 14.
Details of the body and its enabling legislation, contact information, protected communities.
The guessing exponent is normalized by n , and the additional terms go to 0 for large n , and are given by 1 n log(1+ln j X j n ) = O (log n=n ) : The results in the previous ...
ln (J) = [((x^2)/2)ln(x)] - [(x^2)/4] = [(x^2)/4](2ln(x) - 1) = [((x^2)/4)][ln(x^2) - ln(exp)] = [((x^2)/4)][ln((x^2)/(exp)] ln (J) = ln[(x^2)/exp]^[(x^2)/4]
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