11 2024 档案

摘要：import numpy as np import matplotlib.pyplot as plt from scipy.integrate import solve_ivp def model(t, y): f, df_dm, d2f_dm2, T, dT_dm = y d3f_dm3 = -3 阅读全文

摘要：import numpy as np import matplotlib.pyplot as plt from scipy.integrate import solve_ivp def system(t, state): x, y = state dxdt = -x - y # 假设这里应该是 -x 阅读全文

摘要：import numpy as np import pandas as pd import matplotlib.pyplot as plt from scipy.interpolate import interp1d, PchipInterpolator, CubicSpline from sci 阅读全文

摘要：import numpy as np import matplotlib.pyplot as plt from scipy.optimize import curve_fit, leastsq, least_squares from scipy.constants import e def g(x, 阅读全文

摘要：import numpy as np import matplotlib.pyplot as plt from scipy.interpolate import griddata def f(x, y): x2 = x**2 return (x2 - 2*x) * np.exp(-x2 - y**2 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 import scipy.interpolate as spi import scipy.integrate as spi_integrate def g(x): return ((3*x**2 + 4*x + 6) * np.sin(x)) / (x**2 + 阅读全文