- 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......