matrixGaussianEliminate
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The matrixGaussianEliminate function triangulates the M by M+1 coefficient matrix representing
a system of M simultaneous linear equations in M variables.
The input argument {NumMatrix} must be an M by M+1 number matrix representing the original independent
variable observations with the dependent variable in the last column in the form of: The output will be the M by M+1 matrix after triangulation. The triangulated result matrix is
now ready for Gaussian substitution. Usage The matrixGaussianEliminate function is a non-destructive function useful
when you want to create a triangulated Gaussian matrix in preparation for primal form
regression. See Sedgewick[2] chap 37.
x x x x... y
x x x x... y
....
x x x x... y
(matrixGaussianEliminate NumMatrix) A new triangulated number Matrix object after Gaussian elimination.
Expression:
Arguments
Name
Type
Description Argument: NumMatrix NumMatrix
Matrix containing the original independent and dependent observations
Returns:
Here are a number of links to Lambda coding examples which contain this instruction in various use cases.
Here are the links to the data types of the function arguments.
NumMatrix |
Here are also a number of links to functions having arguments with any of these data types.
Analytic Information Server (AIS)AIS Component Systems
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