MiguelAngelHFlores

from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
from matplotlib.colors import LogNorm
import matplotlib.pyplot as plt
import numpy as np

fig = plt.figure()
ax = Axes3D(fig, azim = -128, elev = 54)
X = np.arange(-2, 2, 0.1)
Y = np.arange(-2, 2, 0.1)

MiguelAngelHFlores

from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
from matplotlib.colors import LogNorm
import matplotlib.pyplot as plt
import numpy as np

fig = plt.figure()
ax = Axes3D(fig, azim = -128, elev = 54)
X = np.arange(-2, 2, 0.1)
Y = np.arange(-2, 2, 0.1)

MiguelAngelHFlores

from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
from matplotlib.colors import LogNorm
import matplotlib.pyplot as plt
import numpy as np

fig = plt.figure()
ax = Axes3D(fig, azim = -128, elev = 52)
X = np.arange(-4.5, 4.5, 0.1)
Y = np.arange(-4.5,4.5, 0.1)

MiguelAngelHFlores

from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
from matplotlib.colors import LogNorm
import matplotlib.pyplot as plt
import numpy as np

fig = plt.figure()
ax = Axes3D(fig, azim = -120, elev = 58)
X = np.arange(-6, 6, 0.1)
Y = np.arange(-6, 6, 0.1)

MiguelAngelHFlores

from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
from matplotlib.colors import LogNorm
import matplotlib.pyplot as plt
import numpy as np

fig = plt.figure()
ax = Axes3D(fig, azim = -120, elev = 52)
X = np.arange(-6, 6, 0.1)
Y = np.arange(-6, 6, 0.1)

MiguelAngelHFlores

from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
from matplotlib.colors import LogNorm
import matplotlib.pyplot as plt
import numpy as np

fig = plt.figure()
ax = Axes3D(fig, azim = -128, elev = 52)
X = np.arange(-2, 2, 0.1)
Y = np.arange(-2,2, 0.1)

MiguelAngelHFlores

%Limpiamos la pantalla y mostramos el nombre del método
clear
clc
disp('Metodo de Newton Raphson')

%Introducimos la función,la derivada, el punto de inicio,así como
%porcentaje de error
f=input('Introduzca la funcion f(x):','s');
d=input('Introduzca la derivada de la funcion dy/dx:','s');
pi=input('Introduzca el punto de inicio:');

MiguelAngelHFlores

from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
from matplotlib.colors import LogNorm
import matplotlib.pyplot as plt
import numpy as np

fig = plt.figure()
ax = Axes3D(fig, azim = -29, elev = 49)
X = np.arange(-6, 6, 0.1)
Y = np.arange(-6, 6, 0.1)

MiguelAngelHFlores

import re, collections  
  
def words(text): return re.findall('[a-z]+', text.lower())   
  
def train(features):  
    model = collections.defaultdict(lambda: 1)  
    for f in features:  
        model[f] += 1  
    return model  
  

MiguelAngelHFlores

import re, collections  
  
def words(text): return re.findall('[a-z]+', text.lower())   
  
def train(features):  
    model = collections.defaultdict(lambda: 1)  
    for f in features:  
        model[f] += 1  
    return model