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  2. Koutecký–Levich equation - Wikipedia

    en.wikipedia.org/wiki/Koutecký–Levich_equation

    B L is the Levich Constant. ω is the angular rotation rate of the electrode (rad/s) From an experimental data set where the current is measured at different rotation rates, it is possible to extract the kinetic current from a so-called Koutecký–Levich plot.

  3. Kullback–Leibler divergence - Wikipedia

    en.wikipedia.org/wiki/Kullback–Leibler_divergence

    A simple interpretation of the KL divergence of P from Q is the expected excess surprise from using Q as a model instead of P when the actual distribution is P. While it is a measure of how different two distributions are, and in some sense is thus a "distance", it is not actually a metric, which is the most familiar and formal type of distance.

  4. Hellinger distance - Wikipedia

    en.wikipedia.org/wiki/Hellinger_distance

    To define the Hellinger distance in terms of elementary probability theory, we take λ to be the Lebesgue measure, so that dP / dλ and dQ / dλ are simply probability density functions.

  5. Mutual information - Wikipedia

    en.wikipedia.org/wiki/Mutual_information

    where is the Kullback–Leibler divergence, and is the outer product distribution which assigns probability () to each (,).. Notice, as per property of the Kullback–Leibler divergence, that (;) is equal to zero precisely when the joint distribution coincides with the product of the marginals, i.e. when and are independent (and hence observing tells you nothing about ).

  6. Jacobi eigenvalue algorithm - Wikipedia

    en.wikipedia.org/wiki/Jacobi_eigenvalue_algorithm

    restore matrix S for l := k+1 to n do S kl := S lk endfor endfor. 3. The eigenvalues are not necessarily in descending order. This can be achieved by a simple sorting algorithm. for k := 1 to n−1 do m := k for l := k+1 to n do if e l > e m then m := l endif endfor if k ≠ m then swap e m,e k swap E m,E k endif endfor. 4.

  7. Kosambi–Karhunen–Loève theorem - Wikipedia

    en.wikipedia.org/wiki/Kosambi–Karhunen–Loève...

    Then K X (s,t) is a Mercer kernel and letting e k be an orthonormal basis on L 2 ([a, b]) formed by the eigenfunctions of T K X with respective eigenvalues λ k, X t admits the following representation = = where the convergence is in L 2, uniform in t and

  8. Richard Kovacevich - Pay Pals - The Huffington Post

    data.huffingtonpost.com/paypals/richard-kovacevich

    From January 2008 to December 2012, if you bought shares in companies when Richard Kovacevich joined the board, and sold them when he left, you would have a -4.5 percent return on your investment, compared to a -2.8 percent return from the S&P 500.

  9. Binding constant - Wikipedia

    en.wikipedia.org/wiki/Binding_constant

    It is associated with the binding and unbinding reaction of receptor (R) and ligand (L) molecules, which is formalized as: R + L ⇌ RL. The reaction is characterized by the on-rate constant k on and the off-rate constant k off, which have units of M −1 s −1 and s −1, respectively. In equilibrium, the forward binding transition R + L → ...