ellisonbg

// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console

ellisonbg

import networkx as nx
import matplotlib as mat

# Builds a graphene sheet with the given number of rows and columns.
# The sheet has a defected column running through the optionally passed
# arg. Otherwise it defaults to the center.
def build_defected_graph(rows, columns, defect = 0):
    g = nx.Graph()
    
    if( columns <= 2 ):

ellisonbg

"""Solve the 1D diffusion equation using CN and finite differences."""
from time import sleep

import numpy as np
import matplotlib.pyplot as plt
import networkx as nx

# The total number of nodes
nodx = 3
nody = 3

ellisonbg

from numpy import *
from matplotlib.pyplot import *

from time import sleep

import numpy as np
import networkx as nx

dim = [3,2]