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import numpy as np from scipy.interpolate import interp1d, interp2d, UnivariateSpline, griddata import matplotlib.pyplot as plt np.random.seed(114514) 阅读全文
摘要：
import numpy as np from scipy.interpolate import interp1d, interp2d, UnivariateSpline, griddata import matplotlib.pyplot as plt t0 = np.linspace(700, 阅读全文
摘要：
import numpy as np from scipy.interpolate import interp1d, interp2d, UnivariateSpline, griddata import matplotlib.pyplot as plt from scipy.integrate i 阅读全文
摘要：
··· import numpy as np t=np.arange(8) y=np.array([27.0, 26.8, 26.5, 26.3, 26.1, 25.7, 25.3, 24.8]) tb=t.mean(); yb=y.mean() a1=sum((t-tb)(y-yb))/sum(( 阅读全文
摘要：
··· import pylab as plt import numpy as np from numpy.linalg import norm from scipy.interpolate import interp2d from mpl_toolkits.mplot3d import Axes3 阅读全文
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import numpy as np import pylab as plt from scipy.interpolate import interp1d from scipy.interpolate import lagrange a = np.loadtxt('F:\python数学建模与算法\ 阅读全文
摘要：
import numpy as np from scipy.interpolate import lagrange import matplotlib.pyplot as plt import matplotlib yx = lambda x: 1/(1+x**2) def fun(n): x = 阅读全文
摘要：
import numpy as np from scipy.interpolate import lagrange x0 = np.arange(1, 7) y0 = np.array([16, 18, 21, 17, 15, 12]) p = lagrange(x0, y0) print("从高到 阅读全文
摘要：
import numpy as np import matplotlib.pyplot as plt x0 = np.arange(1, 7) y0 = np.array([16, 18, 21, 17, 15, 12]) A = np.vander(x0) # 范德蒙行列式 p = np.lina 阅读全文