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; }