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11 NLLS Problem
The
constrained nonlinear least squares (
cls) problem
is defined as
|
|
|
|
| |
|
| s/t |
| xL |
≤ |
x |
≤ |
xU, |
| bL |
≤ |
A x |
≤ |
bU |
| cL |
≤ |
c(x) |
≤ |
cU |
|
|
(13) |
where
x,
xL,
xU 
Rn,
r(
x)
RM,
A
Rm1 × n,
bL,
bU Rm1 and
cL,
c(
x),
cU Rm2. The following file defines and
solves a problem in TOMVIEW.
The following VI's define a problem in TOMVIEW.
File: quickguide/nllsQG.vi, nllsQG_r.vi and nllsQG_J.vi
r: Residual function
J: Residual gradient matrix (Jacobian)
It is also possible to define nonlinear constraints as needed.
The following VI illustrates how to solve an NLLS problem in
TOMVIEW. Also view the other VI's specified above for more
information.
It is possible to change the output displayed by expanding the
cluster in the block diagram.
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