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In mathematical statistics, the Kullback–Leibler (KL) divergence (also called relative entropy and I-divergence [1]), denoted (), is a type of statistical distance: a measure of how much a model probability distribution Q is different from a true probability distribution P.
The primary difference between a computer algebra system and a traditional calculator is the ability to deal with equations symbolically rather than numerically. The precise uses and capabilities of these systems differ greatly from one system to another, yet their purpose remains the same: manipulation of symbolic equations.
The Koutecký–Levich equation models the measured electric current at an electrode from an electrochemical reaction in relation to the kinetic activity and the mass transport of reactants. A visualization of the Koutecký–Levich equation. The graph shows the measured current as a function of the mass transport current for given kinetic current.
A graphing-calculator plug-in is available for simple calculations and manipulations MathML MiraiMath: Yes Yes No Yes No Yes Yes No Java WYSIWYG Editor, Open Source. Can be used as alternative front end to GNU Octave: Yes MyTexPoint: No Yes No Yes Yes No No No a small free program for inserting LaTeX equations into PowerPoint with a screen-shot ...
The Levich equation is written as: = where I L is the Levich current (A), n is the number of moles of electrons transferred in the half reaction (number), F is the Faraday constant (C/mol), A is the electrode area (cm 2), D is the diffusion coefficient (see Fick's law of diffusion) (cm 2 /s), ω is the angular rotation rate of the electrode (rad/s), ν is the kinematic viscosity (cm 2 /s), C ...
Note that the expression of Pinsker inequality depends on what basis of logarithm is used in the definition of KL-divergence. D K L {\displaystyle D_{KL}} is defined using ln {\displaystyle \ln } (logarithm in base e {\displaystyle e} ), whereas D {\displaystyle D} is typically defined with log 2 {\displaystyle \log _{2}} (logarithm in base 2).
In variational Bayesian methods, the evidence lower bound (often abbreviated ELBO, also sometimes called the variational lower bound [1] or negative variational free energy) is a useful lower bound on the log-likelihood of some observed data.
The B can be defined as: [2] = where n is the number of moles of electrons transferred in the half reaction (number) F is the Faraday constant (C/mol) A is the electrode area (cm 2) D is the diffusion coefficient (see Fick's law of diffusion) (cm 2 /s)