Hi Andreas, > > My Question: Can someone show me an example for the usage of > DifferentiableMultivariateRealFunction and a matching optimizer. I > understand the concept but the implementational details are hard to find. > Here is what i understood: > > value: the value of the function. > > gradient(): an array containing all partial derivitivs gradients for the > parameters. > > partialDerivitive: Value containing only one gradient of the function > > > if i provide this basic implementation i should pass this to the optimizer. > Or do i have to provide an extra target function to the optimizer as > inicated by some optinmizers with the <FUNC> operator? >
The user guide [1] shows a detailed example of the use of the Levenberg-Marquardt optimized. Also, you can have a look to the new AbstractLeastSquaresOptimizerAbstractTest [2] (available only through svn). The doTestStRD is another illustration. Hope this helps, Sébastien [1] http://commons.apache.org/math/userguide/optimization.html [2] http://svn.apache.org/viewvc/commons/proper/math/trunk/src/test/java/org/apache/commons/math3/optimization/general/AbstractLeastSquaresOptimizerAbstractTest.java?view=markup, line 470 --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
