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The Gaussian distribution is the same as the normal distribution. Sometimes, "Gaussian" is used as in "Gaussian noise" and "Gaussian process." See related links, Interesting that Gauss did not first derive this distribution. That honor goes to de Moivre in 1773.
Gaussian elimination is used to solve systems of linear equations.
Gaussian Blur blurs image but you can use it to soften mask edges and to create different effects like Glamour glow.
It is used when there are a large number of independent, identically distributed variables.
The gaussian elimination is used to solve many linear equations with many unknown varaibles at once. [See related link below to find out how to do it]. This is used alot by engineers you know ceratin variables in there structures and want to find out what the stress and strain is in certain areas. They make up there linear equations and then they can use the gaussian elimination method to find the unknown variables.
The Gaussian distribution is the same as the normal distribution. Sometimes, "Gaussian" is used as in "Gaussian noise" and "Gaussian process." See related links, Interesting that Gauss did not first derive this distribution. That honor goes to de Moivre in 1773.
Gaussian elimination is used to solve systems of linear equations.
All Gaussian (Normal) distributions are determined by just two parameters: their mean and standard deviation. Thus, given any variable, X, that has a Gaussian distribution with mean (m) and standard deviation (s), the Z transform, which is Z = (X - m)/s has a standard normal [or N(0,1)] distribution. This is tabulated and the tables can be used for testing statistical hypothesis about Normally distributed variables.
Gaussian low pass filter is a image smoothing filter which is used to smooth up a digital image...........
Gaussian Blur blurs image but you can use it to soften mask edges and to create different effects like Glamour glow.
It is used when there are a large number of independent, identically distributed variables.
Lapped Transforms are used in Digital Signal Processing as a technique to improve spectral estimation. This methodology can be used in various applications such as speech encoding and decoding. This topic is rather complex, but you can see more about lapped transforms and their uses for free by searching "DIGITAL SIGNAL PROCESSING USING LAPPED TRANSFORMS WITH VARIABLE PARAMETER WINDOWS AND ORTHONORMAL BASES"
this function is extremely used in probability theory like this bell curve
Classical mechanics like in Abalone.Quantum Mechanics, such as in Gaussian.
Gaussian integral method is used in Integration of y from 0 to infinity.
The gaussian elimination is used to solve many linear equations with many unknown varaibles at once. [See related link below to find out how to do it]. This is used alot by engineers you know ceratin variables in there structures and want to find out what the stress and strain is in certain areas. They make up there linear equations and then they can use the gaussian elimination method to find the unknown variables.
Gauss' law can be used quite easily to find the net field through a gaussian surface, or any body, by cleverly constructing a suitable gaussian surface. The net field is equal to the charge enclosed within the gaussian surface divided by the permittivity of the medium through which field is calculated.