public eque_lines()
{
ran = new Random();
ksi = new List <double>();
for (int i = 0; i < 2; i++)
{
ksi.Add(0.01 + ran.NextDouble());
}
pDat = null;
pQ = null;
F = new Rosenbrock(2, ksi);
}
public ShorMethod(double epcilon, List <double>x, int N, double alfa, List<double> ksi, int iterations) {
this.iteration = iterations;
this.N = N;
this.epcilon = epcilon;
this.x = x;
this.alfa = alfa;
f = new Rosenbrock(N, ksi);
fg = new RosenbrockGrad(N, ksi);
if (alfa == 0)
return;
B = new List<double>(N*N);
g = new List<double>(N);
g1 = new List<double>(N);
prevr = new List<double>(N);
mu = 0.0001; eta = 0.0005; sigma = 0.0001;
w = (1 / alfa - 1);
midlineX = new List<List<double>>();
}
public ShorMethod(double epcilon, List <double> x, int N, double alfa, List <double> ksi, int iterations)
{
this.iteration = iterations;
this.N = N;
this.epcilon = epcilon;
this.x = x;
this.alfa = alfa;
f = new Rosenbrock(N, ksi);
fg = new RosenbrockGrad(N, ksi);
if (alfa == 0)
{
return;
}
B = new List <double>(N * N);
g = new List <double>(N);
g1 = new List <double>(N);
prevr = new List <double>(N);
mu = 0.0001; eta = 0.0005; sigma = 0.0001;
w = (1 / alfa - 1);
midlineX = new List <List <double> >();
}
public eque_lines()
{
ran = new Random();
ksi = new List<double>();
for (int i = 0; i < 2; i++)
ksi.Add(0.01 + ran.NextDouble());
pDat = null;
pQ = null;
F = new Rosenbrock(2, ksi);
}