合集-python数学建模第七章

摘要：import numpy as np import matplotlib.pyplot as plt from scipy.interpolate import griddata def f(x, y): return (x2 - 2*x) * np.exp(-x2 - y**2 - x*y) x_ 阅读全文

摘要：import numpy as np import matplotlib.pyplot as plt from scipy.interpolate import interp1d, CubicSpline T = np.array([700, 720, 740, 760, 780]) V = np. 阅读全文

摘要：import numpy as np from scipy.optimize import curve_fit, leastsq, least_squares import matplotlib.pyplot as plt def g(x, a, b): return 10 * a / (10 * 阅读全文

摘要：import numpy as np from scipy.interpolate import interp1d from scipy.integrate import quad import matplotlib.pyplot as plt g = lambda x: (3 * x ** 2 + 阅读全文