📄 lmfunc.java
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// LMfunc.javapackage ZS.Solve;/** * Caller implement this interface to specify the * function to be minimized and its gradient. * * Optionally return an initial guess and some test data, * though the LM.java only uses this in its optional main() test program. * Return null if these are not needed. */public interface LMfunc{ /** * x is a single point, but domain may be mulidimensional */ double val(double[] x, double[] a); /** * return the kth component of the gradient df(x,a)/da_k */ double grad(double[] x, double[] a, int ak); /** * return initial guess at a[] */ double[] initial(); /** * return an array[4] of x,a,y,s for a test case; * a is the desired final answer. */ Object[] testdata();} //LMfunc
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