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import sympy as sp sp.var('t') sp.var('x1:4', cls=sp.Function) #定义3个符号函数 x = sp.Matrix([x1(t), x2(t), x3(t)]) #列向量 A = sp.Matrix([[3,-1,1],[2,0,-1],[1 阅读全文
posted @ 2024-11-12 14:25
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import sympy as sp sp.var('t'); y=sp.Function('y') u=sp.exp(-t)*sp.cos(t) eq=y(t).diff(t,4)+10*y(t).diff(t,3)+35*y(t).diff(t,2)+\ 50*y(t).diff(t)+24*y 阅读全文
posted @ 2024-11-12 14:24
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import sympy as sp sp.var('x'); y=sp.Function('y') eq=y(x).diff(x,2)-2*y(x).diff(x)+y(x)-sp.exp(x) con={y(0): 1, y(x).diff(x).subs(x,0): -1} s=sp.dsol 阅读全文
posted @ 2024-11-12 14:23
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import sympy as sp sp.var('x'); y=sp.Function('y') eq=y(x).diff(x)+2*y(x)-2*x**2-2*x s=sp.dsolve(eq, ics={y(0):1}) s=sp.simplify(s); print(s) 阅读全文
posted @ 2024-11-12 14:21
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import numpy as np import pandas as pd import sympy as sp sp.init_printing(use_latex=True) from scipy.integrate import odeint import matplotlib.pyplot 阅读全文
posted @ 2024-11-12 13:35
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import numpy as np import pandas as pd import sympy as sp sp.init_printing(use_latex=True) from scipy.integrate import odeint import matplotlib.pyplot 阅读全文
posted @ 2024-11-12 13:34
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