摘要: 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.formula 阅读全文
posted @ 2025-01-03 01:05 背着空调去上学 阅读(14) 评论(0) 推荐(0)
摘要: 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 @ 2025-01-03 00:58 背着空调去上学 阅读(18) 评论(0) 推荐(0)
摘要: 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 @ 2025-01-03 00:48 背着空调去上学 阅读(24) 评论(0) 推荐(0)
摘要: 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 @ 2025-01-03 00:34 背着空调去上学 阅读(17) 评论(0) 推荐(0)
摘要: 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 19:43 背着空调去上学 阅读(36) 评论(0) 推荐(0)
摘要: 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 18:59 背着空调去上学 阅读(22) 评论(0) 推荐(0)
摘要: 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 18:52 背着空调去上学 阅读(17) 评论(0) 推荐(0)
摘要: 习题3.2 点击查看代码 def difference_equation(n_terms): # 初始条件 x = [-2, -2] # 迭代计算差分方程的解 for n in range(2, n_terms): x.append(x[n-1] + 2*x[n-2]) return x # 设置要 阅读全文
posted @ 2024-10-28 18:37 背着空调去上学 阅读(18) 评论(0) 推荐(0)
摘要: 例2.1字符串操作示例 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:3003") 例2.2 阅读全文
posted @ 2024-10-28 18:33 背着空调去上学 阅读(41) 评论(0) 推荐(0)