Esempio n. 1
0
            xm = nxm
        ym = float(parser.eval(fx,xm))
        xxi = xi
        xxf = xf
        if(ym*yi>0):
            xi = xm
            yi = ym
        else:
            xf = xm
            yf = ym
        nxm = float((xi+xf)/2)
        if(e==1):
            error = abs((nxm-xm)/nxm)
        else:
            error = abs(nxm-xm)
        v = (con,xxi,xxf,xm,ym,error)
        rows.append(v)
        con += 1
    t = Table(rows=rows, names=('iter', 'xi', 'xf', 'xm','f(xm)','error'))
    print(t)
    print("")
    plot.graficar(fx)
    if(ym == 0):
        print str(xm)+" is a root with a error of " + str(error)
    elif(error<tol):
        print str(xm)+" is a root with a error of " + str(error)
        print "The method has stoped because the error is < tolerance"
    else:
        print "The method has exceeded the number maximum of iterations"

Esempio n. 2
0
import math
import plot


def cuadrado(x):
    return x * x


plot.dibujar_ejes()

plot.color('red')
plot.graficar(math.sin)

plot.color('blue')
plot.graficar(math.exp)

plot.color('green')
plot.graficar(cuadrado)

raw_input()
Esempio n. 3
0
derivative_function=raw_input("Type the derivative of the function \n")
function_evaluated=float(parser.eval(function,xapproximate))
derivative_evaluated= float(parser.eval(derivative_function,xapproximate))
counter=0
error=tolerance+1
rows=[]
while error>tolerance and function_evaluated!=0 and derivative_function!=0 and counter<iterations:
    x_n = xapproximate-(function_evaluated/derivative_evaluated)
    f_n=float(parser.eval(function,x_n))
    d_f_n=float(parser.eval(derivative_function,x_n))
    function_evaluated=f_n
    derivative_evaluated=d_f_n
    error=abs(x_n-xapproximate)
    xapproximate=x_n
    v=(counter,x_n,f_n,d_f_n,error)
    rows.append(v)
    counter=counter+1
t = Table(rows=rows, names=('iter', 'x_n', 'f_x_n','f_d_x_n','error'))
if function_evaluated==0:
    print str(xapproximate)+"is a root"
elif error<tolerance:
    str(x_n)+ "is an approximation to a root with a tolerance of"+str(tolerance)
elif derivative_evaluated==0:
    str(x_n)+ "is a posible multiple root"
else:
    "Fail after"+str(iterations)+"iteraciones"


print t
plot.graficar(function)
Esempio n. 4
0
import math
import plot

def cuadrado(x):
    return x * x

plot.dibujar_ejes()

plot.color('red')
plot.graficar(math.sin)

plot.color('blue')
plot.graficar(math.exp)

plot.color('green')
plot.graficar(cuadrado)

raw_input()