public double a(fx A_0, double A_1)
{
if (this.d.ContainsKey((int) A_0))
{
return this.d[(int) A_0];
}
return A_1;
}
private static fx[] SearchNearestNum(fx[] x, double val)
{
fx[] fxs = new fx[2];
fxs[0] = new fx(); fxs[1] = new fx();
#region fxs[0]
fxs[0].x = x[0].x;
fxs[0].f = x[0].f;
int ind = 0;
for (int i = 1; i < x.Length; i++)
{
if (Math.Abs(fxs[0].x - val) > Math.Abs(x[i].x - val))
{
fxs[0].f = x[i].f;
fxs[0].x = x[i].x;
ind = i;
}
}
#endregion
#region fsx[1]
if (ind != 0)
{
fxs[1].x = x[0].x;
fxs[1].f = x[0].f;
}
else
{
fxs[1].x = x[1].x;
fxs[1].f = x[1].f;
}
for (int i = 0; i < x.Length; i++)
{
if (Math.Abs(fxs[1].x - val) > Math.Abs(x[i].x - val) && i != ind)
{
fxs[1].f = x[i].f;
fxs[1].x = x[i].x;
}
}
#endregion
if (fxs[0].x < fxs[1].x)
{
double X = fxs[0].x;
double F = fxs[0].f;
fxs[0].x = fxs[1].x;
fxs[0].f = fxs[1].f;
fxs[1].x = X;
fxs[1].f = F;
}
return(fxs);
}
void Start()
{
effects = GameObject.FindWithTag("Audio");
fx = effects.GetComponent<fx>();
rnd = this.GetComponent<SpriteRenderer>(); //incializa el sprite renderer
rnd.sprite = escogerSprite(); //asigna el sprite al renderer
vidas = GameObject.FindWithTag("vidas"); //inicializa el contador de vidas
lives = vidas.GetComponent<vidas>(); //obtiene la variable de vidas del contador de vidas
perder = true; //permite perder una vida tras pasar la distancia de la camara hacia abajo
}
static fx[] VectorToFx(Vector x)
{
fx[] fxs = new fx[x.Length];
for (int i = 0; i < x.Length; i++)
{
fxs[i] = new fx();
fxs[i].x = i;
fxs[i].f = x[i];
}
return(fxs);
}
public static double Xirr(IList <CashItem> cashItems)
{
var firstItem = cashItems[0];
fx seed = x => 0.0;
var fxTotal = cashItems.Aggregate(seed, (current, cashItem) => Compose(current, f(cashItem, firstItem)));
var dfxTotal = cashItems.Aggregate(seed, (current, cashItem) => Compose(current, df(cashItem, firstItem)));
var xirr = NewtonsMethod(fxTotal, dfxTotal, Guess);
return(xirr);
}
private static fx total_df_xirr(double[] payments, double[] days)
{
fx resf = (double x) => 0.0;
for (int i = 0; i < payments.Length; i++)
{
resf = composeFunctions(resf, df_xirr(payments[i], days[i], days[0]));
}
return(resf);
}
private static double NewtonsMethod(fx f, fx df, double guess)
{
var x0 = guess;
var err = 1e+100;
while (err > Tolerance)
{
var x1 = x0 - f(x0) / df(x0);
err = Math.Abs(x1 - x0);
x0 = x1;
}
return(x0);
}
public double Newtons_method(double guess, fx f, fx df)
{
double x0 = guess;
double x1 = 0.0;
double err = 1e+100;
while (err > tol)
{
x1 = x0 - f(x0) / df(x0);
err = Math.Abs(x1 - x0);
x0 = x1;
}
return x0;
}
private static double Newtons_method(double guess, fx f, fx df)
{
double x0 = guess;
double x1 = 0.0;
double err = 1e+100;
while (err > tol)
{
x1 = x0 - f(x0) / df(x0);
err = Math.Abs(x1 - x0);
x0 = x1;
}
return(x0);
}
public static double Xirr(double guess, fx f, fx df)
{
double x0 = guess;
double x1 = 0.0;
double err = 1e+100;
while (err > tol)
{
x1 = x0 - f(x0) / df(x0);
err = Math.Abs(x1 - x0);
x0 = x1;
}
return x0;
}
private static double NewtonsMethod(fx f, fx df, double guess)
{
var x0 = guess;
var err = 1e+100;
while (err > Tolerance)
{
var fx0 = f(x0);
var dfx0 = df(x0);
// check dfx == 0 !
var x1 = (Math.Abs(dfx0 - 0) < double.Epsilon) ? x0 / 2 : x0 - fx0 / dfx0;
err = Math.Abs(x1 - x0);
x0 = x1;
}
return(x0);
}
public static void displayThatView(this Form fx)
{
if (fx == null || fx.IsDisposed)
{
Form fy = new fx();
fx.Show;
}
else
{
if (!fx.Visible)
{
fx.Show;
fx.Activate();
}
else
{
fx.Activate();
}
}
}
public bool a(fx A_0)
{
return this.d.ContainsKey((int) A_0);
}
private static fx composeFunctions(fx f1, fx f2)
{
return((double x) => f1(x) + f2(x));
}
private static fx Compose(fx f1, fx f2)
{
return(x => f1(x) + f2(x));
}
public static Vector Taylor(Vector x, Vector y, Vector X, int accuracy = 3)
{
Vector xPreproc = new Vector(accuracy);
Vector yPreproc = new Vector(xPreproc.Length);
int sh = x.Length / accuracy;
int b = 0;
for (int i = 0; i < accuracy; i++)
{
xPreproc[i] = x.GetInterval(b, b + sh - 1).AverageValue();
yPreproc[i] = y.GetInterval(b, b + sh - 1).AverageValue();
b += sh;
}
//x = xPreproc;
//y = yPreproc;
Vector res = new Vector(X.Length);
if (x.Length < accuracy)
{
accuracy = x.Length;
}
fx[][] derivs = new fx[accuracy - 1][];
for (int i = 0; i < derivs.Length; i++)
{
derivs[i] = new fx[x.Length - i - 1];
}
for (int i = 0; i < derivs.Length; i++)
{
for (int j = 0; j < derivs[i].Length; j++)
{
derivs[i][j] = new fx();
}
}
if (derivs.Length > 0)
{
for (int i = 1; i < x.Length; i++)
{
derivs[0][i - 1].f = (y[i] - y[i - 1]) / (x[i] - x[i - 1]);
derivs[0][i - 1].x = x[i - 1] + (x[i] - x[i - 1]) / 2.0;
}
for (int i = 1; i < derivs.Length; i++)
{
for (int j = 1; j < derivs[i - 1].Length; j++)
{
derivs[i][j - 1].x = derivs[i - 1][j - 1].x + (derivs[i - 1][j].x - derivs[i - 1][j - 1].x) / 2.0;
derivs[i][j - 1].f = (derivs[i - 1][j].f - derivs[i - 1][j - 1].f) / (derivs[i - 1][j].x - derivs[i - 1][j - 1].x);
}
}
}
for (int i = 0; i < X.Length; i++)
{
Vector deriv = new Vector(accuracy);
var index = SearchNearestInd(x, X[i]);
deriv[0] = y[index];
double a = x[index];
Vector A = new Vector(accuracy);
A[0] = a;
for (int k = 1; k < A.Length; k++)
{
A[k] = derivs[k - 1][SearchNearestInd(derivs[k - 1], X[i])].x;
}
for (int j = 0; j < accuracy - 1; j++)
{
deriv[j + 1] = SearchNearestVal(derivs[j], X[i]);
}
//res[i] = matlib.Function.Polynomials.Taylor(X[i], a, deriv);
if (accuracy < 1)
{
return(null);
}
double result = 0.0;
for (int n = 0; n < deriv.Length; n++)
{
result += deriv[n] * Math.Pow(X[i] - A[0], n) / (double)matlib.Factorial(n);
}
res[i] = result;
}
return(res);
}
public fx composeFunctions(fx f1, fx f2)
{
return (double x) => f1(x) + f2(x);
}
public static fx composeFunctions(fx f1, fx f2)
{
return (double x) => f1(x) + f2(x);
}
