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Optimization Nodes (G Dataflow)

Last Modified: December 4, 2016

Use the Optimization nodes 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.

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

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Finds a local minimum of a given 1D function.
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Finds a local minimum of a given n-dimension function.
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Finds all local minima of a given 1D function in a given interval.
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Finds all local minima of a given n-dimension function in a given n-dimension interval.
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Solves linear programming problem.

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