public static void Main(string[] args)
{
// optimizes test function using doubles and floats
// test function is (0.5 sum(x_i^2 * var_i)) ^ PI
// where var is a vector of random nonnegative numbers
// dimensionality is variable.
int dim = 500000;
double maxVar = 5;
double[] var = new double[dim];
double[] init = new double[dim];
for (int i = 0; i < dim; i++)
{
init[i] = ((i + 1) / (double)dim - 0.5);
//init[i] = (Math.random() - 0.5);
var[i] = maxVar * (i + 1) / dim;
}
IDiffFunction f = new _IDiffFunction_193(dim, var);
SMDMinimizer <IDiffFunction> min = new SMDMinimizer <IDiffFunction>();
min.Minimize(f, 1.0E-4, init);
}
public SetLam(SMDMinimizer <T> _enclosing, SMDMinimizer <T> smd)
{
this._enclosing = _enclosing;
// = null;
this.parent = smd;
}
