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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 20:22
kkk12367
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学号后四位3020 9.2 点击查看代码 import numpy as np from scipy.stats import shapiro data = [15.0, 15.8, 15.2, 15.1, 15.9, 14.7, 14.8, 15.5, 15.6, 15.3, 15.1, 15.3 阅读全文
posted @ 2024-12-10 14:25
kkk12367
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学号3020 8.4 点击查看代码 import numpy as np import matplotlib.pyplot as plt from scipy.integrate import solve_ivp def system(t, state): x, y = state dxdt = - 阅读全文
posted @ 2024-11-12 14:44
kkk12367
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学号3020 7.1 点击查看代码 import numpy as np import scipy.interpolate as spi import scipy.integrate as spi_integrate def g(x): return ((3*x**2 + 4*x + 6) * np 阅读全文
posted @ 2024-11-12 14:43
kkk12367
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学号3020 6.2 点击查看代码 edges = [ ("Pe", "T", 13), ("Pe", "N", 68), ("Pe", "M", 78), ("Pe", "L", 51), ("Pe", "Pa", 51), ("T", "N", 68), ("T", "M", 70), ("T" 阅读全文
posted @ 2024-10-15 14:32
kkk12367
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学号3020 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 阅读全文
posted @ 2024-10-15 14:24
kkk12367
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学号3020 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] for n in n_values: print(f"X({n}) = {X(n)}") print("学号：302 阅读全文
posted @ 2024-10-15 14:20
kkk12367
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学号3020 2.1 点击查看代码 strl="Hello World!" print(strl) #输出字符串 print(strl[0:-1]) #输出第一个到倒数第二个的所有字符 print(strl[-1]) #输出字符串的最后一个字符 print(strl[2:5]) #输出从第三个开始到 阅读全文
posted @ 2024-10-15 13:54
kkk12367
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第五章5.4 学号后四位：3020 代码 点击查看代码 import cvxpy as cp import numpy as np import pandas as pd from scipy.optimize import minimize import sympy as sp sp.init_p 阅读全文
posted @ 2024-10-14 23:52
kkk12367
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