首页 > 其他分享 >习题8.5

习题8.5

时间:2024-11-17 15:08:05浏览次数:1  
标签:plt 8.5 df sol system eta import 习题

1.代码实现

点击查看代码
import numpy as np
from scipy.integrate import odeint
import matplotlib.pyplot as plt
# 定义微分方程组
def system(state, eta):
    f, df, d2f, T, dT = state
    d3f = -3 * d2f + 2 * df ** 2 - T
    d2T = -2.1 * df * dT
    return [df, d2f, d3f, dT, d2T]
# 初始条件
f0 = 0
df0 = 0
d2f0 = 0.68
T0 = 1
dT0 = -0.5
state0 = [f0, df0, d2f0, T0, dT0]

# 时间范围
eta = np.linspace(0, 10, 1000)

# 求解微分方程组
solution = odeint(system, state0, eta)
f_sol = solution[:, 0]
T_sol = solution[:, 3]

# 绘制解曲线
plt.figure()
plt.plot(eta, f_sol, label='f(eta)')
plt.plot(eta, T_sol, label='T(eta)')
plt.xlabel('eta')
plt.ylabel('f, T')
plt.title('Solution of the system of differential equations')
plt.legend()
plt.show()

2.运行结果

标签:plt,8.5,df,sol,system,eta,import,习题
From: https://www.cnblogs.com/qishanhsa/p/18550589

相关文章

  • 习题8.4
    1.代码实现点击查看代码importnumpyasnpfromscipy.integrateimportodeintimportmatplotlib.pyplotasplt#定义微分方程组defsystem(state,t):x,y=statedxdt=-x**3-ydydt=x-y**3return[dxdt,dydt]#初始条件x0=1y......
  • 数学建模习题7.10
    `importnumpyasnpimportpandasaspdimportmatplotlib.pyplotaspltfromscipy.interpolateimportinterp1d,PchipInterpolator,CubicSplinefromscipy.optimizeimportcurve_fitfromscipy.statsimportnorm读取数据file_path='7.17.xISX'#确保文件......
  • 习题7.10(2)
    1.代码实现点击查看代码importnumpyasnpimportpylabasplt#原始数据点x0=np.array([-2,-1.7,-1.4,-1.1,-0.8,-0.5,-0.2,0.1,0.4,0.7,1,1.3,1.6,1.9,2.2,2.5,2.8,3.1,3.4,3.7,4,4.3,4.6,4.9])y0=np.array([0.1029,0.1174,0.1316,0.144......
  • 数学建模习题8.4
    `importnumpyasnpimportmatplotlib.pyplotaspltfromscipy.integrateimportsolve_ivp定义微分方程系统defsystem(t,state):x,y=statedxdt=-x-ydydt=x-y**3return[dxdt,dydt]定义时间跨度和初始条件t_span=(0,30)y0=[1,0.5]解微分方程so......
  • 8.5
    importnumpyasnpimportmatplotlib.pyplotaspltfromscipy.integrateimportsolve_ivpplt.rcParams['text.usetex']=Falsedefmodel(t,y):f,df_dm,d2f_dm2,T,dT_dm=yd3f_dm3=-3*f*d2f_dm2+2*(df_dm)**2-Td2T_dm2=-2.1*f*dT......
  • 数学建模习题7.7
    `importnumpyasnpimportmatplotlib.pyplotaspltfromscipy.optimizeimportcurve_fit,leastsq,least_squares定义函数g(x,a,b)defg(x,a,b):return(10*a)/(10*b+(a-10*b)*np.exp(a*np.sin(x)))初始参数a=1.1b=0.01生成数据x_values......
  • 数学建模习题7.4
    `importnumpyasnpimportmatplotlib.pyplotaspltfromscipy.interpolateimportgriddatadeff(x,y):x2=x2return(x2-2*x)*np.exp(-x2-y2-x*y)x_min,x_max=-3,3y_min,y_max=-4,4num_points=1000x_random=np.random.uniform(x_min,x_ma......
  • 数学建模习题7.3
    `importnumpyasnpimportmatplotlib.pyplotaspltfromscipy.interpolateimportinterp1d,CubicSpline已知的温度和对应的体积T_known=np.array([700,720,740,760,780])V_known=np.array([0.0977,0.1218,0.1406,0.1551,0.1664])需要求解的温度T_query=......
  • 数学建模习题7.1
    `importnumpyasnpimportscipy.interpolateasspiimportscipy.integrateasspi_integrate定义函数g(x)defg(x):return((3x**2+4x+6)*np.sin(x))/(x**2+8*x+6)在区间[0,10]上等间距取1000个点x=np.linspace(0,10,1000)计算这些点处的函数值......
  • 第七章课后习题
    习题7.1点击查看代码importnumpyasnpfromscipy.interpolateimportinterp1dfromscipy.integrateimportquadimportmatplotlib.pyplotaspltg=lambdax:(3*x**2+4*x+6)*np.sin(x)/(x**2+8*x+6)x0=np.linspace(0,10,1000)y0=g(x0......