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例10.1 点击查看代码 import numpy as np import statsmodels.api as sm import pylab as plt def check(d): x0 = d[0]; y0 = d[1]; d = {'x':x0, 'y':y0} re = sm.form 阅读全文
posted @ 2024-12-22 14:29
不爱吃香菜01
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习题9.2 点击查看代码 import numpy as np from scipy.stats import norm, chi2, chisquare import pylab as plt n = 50; k = 6 a = np.loadtxt('ti9.2.txt').flatten() 阅读全文
posted @ 2024-11-29 08:38
不爱吃香菜01
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习题8.4 点击查看代码 from scipy.integrate import odeint import numpy as np import matplotlib.pyplot as plt # 设置 Matplotlib 不使用 LaTeX plt.rc('font', size=15) p 阅读全文
posted @ 2024-11-16 20:31
不爱吃香菜01
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习题7.1 点击查看代码 import numpy as np from scipy.interpolate import interp1d from scipy.integrate import quad import matplotlib.pyplot as plt g = lambda x: 阅读全文
posted @ 2024-11-16 20:30
不爱吃香菜01
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习题6.1 a图 点击查看代码 import networkx as nx import matplotlib.pyplot as plt G = nx.Graph() nodes = ['v1', 'v2', 'v3', 'v4', 'v5', 'v6'] G.add_nodes_from(nod 阅读全文
posted @ 2024-10-28 00:41
不爱吃香菜01
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习题5.4 点击查看代码 import numpy as np import math from scipy.optimize import minimize,Bounds def func(x): return sum(math.sqrt(x[i]) for i in range(100)) de 阅读全文
posted @ 2024-10-28 00:27
不爱吃香菜01
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习题4.3 点击查看代码 import matplotlib.pyplot as plt import numpy as np import cvxpy as cp x=cp.Variable(6,pos=True) obj=cp.Minimize(x[5]) a1=np.array([0.025, 阅读全文
posted @ 2024-10-28 00:20
不爱吃香菜01
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习题3.2 点击查看代码 def X(n): # 差分方程的解 return 2 * (-1)**(n + 1) n_values = [0, 1, 2, 3, 4, 5]#根据需要自行调整 for n in n_values: print(f"X({n}) = {X(n)}") print("学号 阅读全文
posted @ 2024-10-28 00:13
不爱吃香菜01
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例2.1字符串操作示例 点击查看代码 str1 = "Hello World!" print(str1) print(str1[0:-1]) print(str1[-1]) print(str1[2:5]) print(str1[2:]) print(str1 * 2) print("学号:3001 阅读全文
posted @ 2024-10-28 00:00
不爱吃香菜01
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