public CenterDataContract(ICenter center)
{
Id = center.Id;
Name = center.Name;
StreetAddress = center.StreetAddress;
CenterTypeValue = center.CenterTypeValue;
}
public ServiceCenterController()
{
_centerRepo = new Center();
_dropdown = new DropdownBindController();
_empRepo = new Employee();
_log = new CallLog();
_emailSmsServices = new EmailsmsServices();
_templateRepo = new Template();
}
public ClientDataController()
{
_RepoUploadFile = new UploadFiles();
_dropdown = new DropdownBindController();
_RepoCallLog = new CallLog();
_centerRepo = new Center();
_contactPerson = new ContactPerson();
_emailSmsServices = new EmailsmsServices();
_templateRepo = new Template();
}
public ManageServiceCentersController()
{
_Center = new Center();
dropdown = new DropdownBindController();
_bank = new Bank();
_contactPerson = new ContactPerson();
_Provider = new Provider();
_templateRepo = new doorserve.Repository.EmailSmsTemplate.Template();
_emailSmsServices = new Repository.EmailsmsServices();
_services = new Services();
_RepoUploadFile = new UploadFiles();
}
public static void fit_mat(out double[,] A, ICenter[] Centers, IBasisFunction rbf, IRBFPolynomial Poly, double Relaxation)
{
// find out
int dim = Centers.Length;
int fits = dim;
fits += Poly.Terms;// for polynomial terms
A = new double[fits, fits];
// create A matrix
double r;
double a = 0;//for scaling relaxation parameter
int i, j;
for (i = 0; i < dim; ++i)
{
for (j = i + 1; j < dim; ++j)
{
// PHI11 - PHINN
r = Centers[j].radius(Centers[i].ToArray());
A[i, j] = A[j, i] = rbf.val(r); // symmetric
a += 2 * r;
}
}
a /= dim * dim; // calculate relaxation normalizer
//a /= fits * fits; // fits = dims + Poly.Terms(3)
//a /= Math.Pow(fits, 2);
// calculate fit mat diagonals and poly terms
double relax = Relaxation;
for (i = 0; i < dim; ++i)
{
//A[i, i] = BLAS.is_equal(relax, 0) ? 1 : a * a * relax;
A[i, i] = a * a * relax;
for (j = 0; j < Poly.Terms; j++)
A[i, dim + j] = A[dim + j, i] = Poly.FitMat(i, j);
#region old
//A[i, dim + 0] = A[dim + 0, i] = Centers[i][0];
//A[i, dim + 1] = A[dim + 1, i] = Centers[i][1];
//// poly values: Ax + By + C POLY
//A[i, dim + 2] = A[dim + 2, i] = 1;
// poly values: Ax + By + Cxy POLY
//A[i, dim + 2] = A[dim + 2, i] = Centers[i][1] * Centers[i][0];
// parabaloid values: A(x-h)^2 + B(y-k)^2 POLY
//A[i, dim + 0] = A[dim + 0, i] = Math.Pow(Centers[i][0] - middle[0],2);
//A[i, dim + 1] = A[dim + 1, i] = Math.Pow(Centers[i][1] - middle[1], 2);
#endregion
}
}
public Appointment(ICenter center)
{
Center = center;
}
public SwarmCenterGuideProvider(ICenter centerStrategy)
{
CenterStrategy = centerStrategy;
}
public CenterBasedGuideProvider(int number, ICenter centerStrategy)
{
Number = number;
CenterStrategy = centerStrategy;
}
public CallAppointmentController()
{
_centerRepo = new Center();
_dropdown = new DropdownBindController();
}
//public static int solve(double[,] A, double[] fitz, CenterArrayNode CenterNode, IRBFPolynomial Poly)
//{
// System.Diagnostics.Debug.Assert(fitz.Length == A.GetLength(0));
// System.Diagnostics.Debug.Assert(A.GetLength(0) == A.GetLength(1));
// int[] pivot = new int[A.GetLength(0)];
// int i;//,j,k;
// //double[] d = new double[A.Length];
// //for (j = 0; j < A.GetLength(0); j++)
// // for (k = 0; k < A.GetLength(1); k++)
// // d[k + j * A.GetLength(0)] = A[j, k];
// //DumpD(d, A.GetLength(1), A.GetLength(0), "c:\\before.csv");
// double[,] fit = new double[fitz.Length, 1];
// for (i = 0; i < fitz.GetLength(0); i++)
// fit[i, 0] = fitz[i];
// double[,] w2 = BLAS.SimultaneousSolver(A, fit);
// //var matrixA = new DenseMatrix(A);
// //var vectorB = new DenseVector(fitz);
// //Vector<double> resultX = matrixA.LU().Solve(vectorB);
// //MCroutPPS.Decomp(Tolerance, ref d, ref pivot, ref error, A.GetLength(1), A.GetLength(0));
// //DumpD(d, A.GetLength(1), A.GetLength(0), "c:\\after.csv");
// //if (error <= 0)
// //{
// // return error;
// //}
// //double[] w = new double[A.GetLength(0)];// create weights vector
// double[] w = new double[A.GetLength(0)];
// for (i = 0; i < w2.GetLength(0); i++)
// w[i] = w2[i, 0];
// //MCroutPPS.Desolv(ref d, ref w, ref fitz, ref pivot, ref error, A.GetLength(0));
// //DumpW(w, "c:\\w.csv");
// i = 0;
// foreach (double weight in w)
// {
// if (i < CenterNode.Centers.Count)
// CenterNode[i].w = weight; // set the center's weight
// else
// Poly[i - CenterNode.Centers.Count] = weight;
// //polycofs[i - Centers.Count] = weight; //store the polynomial coefficients
// ++i;
// }
// return 0;
//}
public static int solve(double[,] A, double[] fitz, ICenter[] Centers, IRBFPolynomial Poly)
{
var matrixA = new DenseMatrix(A);
var vectorB = new DenseVector(fitz);
Vector<double> resultX = matrixA.LU().Solve(vectorB);
List<double> w2 = new List<double>(resultX.ToArray());
int i = 0;
w2.ForEach((double weight) =>
{
if (i < Centers.Length)
Centers[i].w = weight; // set the center's weight
else
Poly[i - Centers.Length] = weight;//store the polynomial coefficients
++i;
});
return 0;
}
static void Main(string [] args)
{
string yen = Path.Combine(@"c:\windows", "hoge.txt");
var del = new Derived();
del.method1();
return;
MoveableOject mover = new MoveableOject();
ILeft left = new MoveableOject();
left.Move();
ICenter center = (ICenter)left;
center.Hover();
IAnimal animal = new Dog();
animal.Move();
var numbers = Enumerable.Range(0, 100);
var parallelResult = numbers.AsParallel( ).AsOrdered()
.Where(i => i % 2 == 0)
.ToArray( );
//foreach( int i in parallelResult)
//{
// Console.WriteLine( i );
//}
var parallelResult2 = numbers.AsParallel( ).AsOrdered( )
.Where(i => i % 2 == 0);
parallelResult2.ForAll(e => Console.WriteLine(e));
Console.WriteLine("------------------------------");
//var result = numbers
// .Where( i => i % 2 == 0 )
// .ToArray( );
//foreach ( int i in result )
//{
// Console.WriteLine( i );
//}
int a = 1;
if (a == 1)
{
// エラー 2 ローカルの変数 'a' をこのスコープで宣言することはできません。これは、'親またはカレント' スコープで別の意味を持つ 'a' の意味が変更されるのを避けるためです。
//int a = 100;
//Console.WriteLine( a.ToString( ) );
//foreach( int a in new [] {1,2,3})
//{
// ;
//}
}
CreateAndRaise();
}
