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摘要： 1.代码实现 点击查看代码 import numpy as np import pylab as plt from scipy.optimize import curve_fit # 原始数据点 x0 = np.array([-2, -1.7, -1.4, -1.1, -0.8, -0.5, -0. 阅读全文

摘要： 1.代码实现 点击查看代码 import numpy as np import pylab as plt # 原始数据点 x0 = np.array([-2, -1.7, -1.4, -1.1, -0.8, -0.5, -0.2, 0.1, 0.4, 0.7, 1, 1.3, 1.6, 1.9, 2 阅读全文

摘要： 1.代码实现 点击查看代码 import numpy as np import pylab as plt # 原始数据点 x0 = np.array([-2, -1.7, -1.4, -1.1,-0.8, -0.5, -0.2, 0.1, 0.4, 0.7, 1, 1.3, 1.6, 1.9, 2. 阅读全文

摘要： 1.代码实现 点击查看代码 import numpy as np from scipy.interpolate import interp1d from scipy.interpolate import lagrange import pylab as plt a=np.loadtxt('data7 阅读全文

摘要： 1.代码实现 点击查看代码 import numpy as np import pylab as plt from scipy.interpolate import lagrange yx=lambda x:1/(1+x**2) def fun(n): x=np.linspace(-5,5,n+1) 阅读全文

摘要： 1.代码实现 点击查看代码 import numpy as np import networkx as nx import pandas as pd import pylab as plt n=6 node=['v'+str(i) for i in range(1,n+1)] A=np.zeros( 阅读全文

摘要： 1.代码实现 点击查看代码 import numpy as np import networkx as nx a=np.zeros((5,5)) a[0,1:]=[0.8,2,3.8,6] a[1,2:]=[0.9,2.1,3.9] a[2,3:]=[1.1,2.3]; a[3,4]=1.4 G=n 阅读全文

摘要： 1.代码实现 点击查看代码 import numpy as np import networkx as nx import pylab as plt L = [(1, 2, 20), (1, 5, 15), (2, 5, 25), (2, 3, 20), (2, 4, 60), (3, 5, 18) 阅读全文

摘要： 1.代码实现 点击查看代码 import networkx as nx import matplotlib.pyplot as plt G=nx.DiGraph() G.add_nodes_from([1,2,3,4,5,6]) edges_with_weights=[(1,3,3),(2,1,7) 阅读全文

摘要： 1.代码实现 点击查看代码 import networkx as nx import matplotlib.pyplot as plt G=nx.Graph() G.add_nodes_from([1,2,3,4,5,6]) edges_with_weights=[(1,2,7),(1,3,3),( 阅读全文