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Iterations of Some Algorithms for Unconstrained Local Optimization

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By moving the starting point with the locator, you can see how three optimization algorithms proceed and how many steps they require to find the minimum of our example function .

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The three methods considered are the Newton, quasi-Newton, and conjugate gradient method. For these methods, see the Mathematica tutorial Unconstrained Optimization.

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Contributed by: Heikki Ruskeepää (January 2012)
Open content licensed under CC BY-NC-SA

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