Method matrix/lscov
LSCOV is a wrapper for MATLAB's lscov function.
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DESCRIPTION: LSCOV is a wrapper for MATLAB's lscov function. It solves a
set of linear equations by performing a linear least-squares fit. It
solves the problem
Y = HX
where X are the parameters, Y the measurements, and H the linear
equations relating the two.
CALL: X = lscov([C1 C2 ... CN], Y, pl)
X = lscov(C1,C2,C3,...,CN, Y, pl)
INPUTS: C1...CN - MATRIX objects with inside AOs or AOs which
represent the columns of H.
Y - AO which represents the measurement set
pl - Parameter list (see below)
Note: The length of the vectors in Ci and Y must be the same.
Note: The last input AO is taken as Y.
OUTPUTs: X - A pest object with fields:
y - the N fitting coefficients to y_i
dy - the parameters' standard deviations (lscov 'STDX' vector)
cov - the parameters' covariance matrix (lscov 'COV' vector)
Parameters Description
SEE ALSO: ao/lscov
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| Method Details |
|
| Access |
public |
| Defining Class |
matrix |
| Sealed |
0 |
| Static |
0 |
Parameter Description
| Sets for this method … |
| Default |
Default |
| no description |
| Key |
Default Value |
Options |
Description |
| lscov |
| WEIGHTS |
[] |
none |
An ao containing weights for the fit. |
| COV |
[] |
none |
An ao containing a covariance matrix for the fit. |
Example |
| plist('WEIGHTS', [[]], 'COV', [[]]) |
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| Some information of the method matrix/lscov are listed below: |
| Class name |
matrix |
| Method name |
lscov |
| Category |
Operator |
| Package name |
ltpda |
| VCS Version |
967b0eec0dece803a81af8ef54ad2f8c784b20b2 |
| Min input args |
2 |
| Max input args |
-1 |
| Min output args |
1 |
| Max output args |
-1 |
| Can be used as modifier |
0 |
| Supported numeric types |
{'double'} |
|
Method: matrix/linearize |
|
Method: matrix/mean |
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©LTP Team