class="resources" Optimization VIs (Not in Base Package) - LabVIEW 7.1 Help - Support - National Instruments
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Optimization VIs (Not in Base Package)

Use the Optimization VIs to determine local minima and maxima of real 1D or n-dimension functions.

You can choose between optimization algorithms based on derivatives of the function and algorithms working without these derivatives. You also can use special methods like Linear Programming, Levenberg-Marquardt in symbolic form, Pade, and Chebyshev Approximation.

Click the icons for VI descriptions.

Brent with Derivatives 1D Chebyshev Approximation Downhill Simplex nD Conjugate Gradient nD Find All Minima 1D Find All Minima nD Fitting on a Sphere Golden Section 1D Linear Programming Simplex Method Pade Approximation Up to Owning Palette Search Options

Brent with Derivatives 1D Find All Minima nD
Chebyshev Approximation Fitting on a Sphere
Conjugate Gradient nD Golden Section 1D
Downhill Simplex nD Linear Programming Simplex Method
Find All Minima 1D Pade Approximation

The VIs on this palette can return general LabVIEW error codes or specific mathematics error codes.

An overview of the optimization routines is shown in the following illustration.

Refer to the LabVIEW Analysis Concepts manual for more information about optimization.

Example

Refer to the labview\examples\math\optimiz.llb for examples of using the Optimization VIs.

 


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