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It solves a system of equations.

Think of the 2X2 case of having X+Y=1 and 3X+2Y=6.

Q: What is the application of gaussian elimination?

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Of course, Gaussian Elimination!

Gaussian elimination is used to solve systems of linear equations.

gauss

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.

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Of course, Gaussian Elimination!

Gaussian elimination is used to solve systems of linear equations.

none

gauss

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.

Gaussian elimination as well as Gauss Jordan elimination are used to solve systems of linear equations. If, using elementary row operations, the augmented matrix is reduced to row echelon form, then the process is called Gaussian elimination. If the matrix is reduced to reduced row echelon form, the process is called Gauss Jordan elimination. In the case of Gaussian elimination, assuming that the system is consistent, the solution set can be obtained by back substitution whereas, if the matrix is in reduced row echelon form, the solution set can usually be obtained directly from the final matrix or at most by a few additional simple steps.

Please visit the related link at the bottom. If I tried to write the computer algorithm here it would get very messy.

The Chinese are believed to have started the development of systems of equation. They came up with a system for equation known as Gaussian elimination in 200 BC.

For systems with more than three equations, Gaussian elimination is far more efficient. By using Gaussian elimination we bring the augmented matrix into row-echelon form without continuing all the way to the reduced row-echelon form. When this is done, the corresponding system can be solved by the back-substitution technique.

the gaussian filter is also known as Gaussian smoothing and is the result of blurring an image by a Gaussian function.

The elimination period is the length of time you must be disabled before benefits begin. Your elimination period is determined by you at time of application. Shorter elimination periods come with higher premiums.

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.