matlab中 lsqcurvefit怎么应用?

matlab中 lsqcurvefit怎么应用? matlab中lsqcurvefit的初始解向量什么意思如题, matlab中高斯拟合函数lsqcurvefit初始参数怎么设置 matlab中lsqcurvefit怎么用我的数据如下,想求解一个反比例函数,怎么用lsqcurvefit实现啊?x=1:5;y=[1 0.83 0.75 0.71 0.68];plot(x,y)f=@(c,x)1./(c(1)*x+c(2));c0=[0.5 -0.1];[c,resnorm]=lsqcurvefit(f,c0,x,y);其运行结果为：Optimi matlab中lsqcurvefit函数报错问题函数程序：function f=myfun(a,x)f=a(1)*35*exp(a(2)*x+a(3)*x^2);命令：x=[11.6 12.8 14.1 14.4 13.9 13 12.4];y=[-0.3 -1 -1.48 -1.16 -1.26 -0.67 -0.73];a0=[0,0];[x,Resnorm]=lsqcurvefit(@myfun,a0,x,y)报错：E MATLAB中的lsqcurvefit（fun,a0,x,y）函数中的a0代表什么 matlab中lsqcurvefit拟合公式问题我在用lsqcurvefit拟合一个多元函数,命令如下：u=[60 60 60 60 6032 38 42 45 50 54 57 60 63.5 68 70 73 76 83 89 95];v=[3 4 5 6 7 4 44 4 4 4 4 4 4 4 4 4 4 4 4 4];x=[2 2 2 2 2 2 2 22 2 2 2 2 2 2 2 2 2 2 matlab中使用lsqcurvefit函数拟合老是报错,我的自变量t和因变量H都是1*4748的数据,现在我想用函数H=abc(1)*t+abc(2)+abc(3)*sin(abc(4)*t+abc(5))利用最小二乘拟合出5个参数abc（i）,我看了matlab里面的帮助写 Matlab拟合 lsqcurvefit我希望用MATLAB中的最小二乘拟合 通过一组X,Y的数据得到 y=(a(1)*x+a(2))/(a(3).^x);中a(1),a(2),a(3)值,请问应该用什么函数,语句是什么样的呢? 如何使用matlab中的lsqcurvefit函数本人完全不会.只是要拟合一条未知曲线 只知道是曲线且有x、y的坐标 然后怎么用lsqcurvefit呢? matlab运行时,lsqcurvefit出现问题,出现问题提示如下：Local minimum possible.lsqcurvefit stopped because the final change in the sum of squares relative to its initial value is less than the selected value of the function tolerance.Optim matlab用lsqcurvefit拟合数据 为什么会停止?应该咋解决?Local minimum possible.lsqcurvefit stopped because the final change in the sum of squares relative to its initial value is less than the default value of the function tolerance. matlab中lsqcurvefit函数拟合问题,有懂的请帮下忙,M文件：function f= fun(c,x)f= ((c(1)+c(2)*x+x.^2)-((c(1)+c(2)*x.^2).^2-4*x.^2).^0.5)/(2*x.^2)在窗口中输入的文件：b=[3.5026 4.2031 4.9035 5.604 6.3045 7.005 2.2378 2.6852 3.1328 关于matlab中lsqcurvefit函数应用出错的问题x=[300.317 305.083 309.848 315.207 319.97 325.327 330.087 335.441 340.2 344.957 ];y=[5.45873 6.79679 7.79155 9.2996 10.58554 12.15892 14.06855 16.22598 18.77455 21.42668];a0=[1,2400];[x,resnorm]=ls lsqcurvefit在matlab中拟合多元函数问题这是M文件：function F=myfun(x,data)F=x(1)+x(2)*xdata(:,1)+x(3)*xdata(:,1).^2+x(4)*xdata(:,2)+x(5)*data(:,2).^2;下面是数据：xdata=[14.9,0.8;13.6,0.62;13.6,0.98;16.2,0.98;16.2,0.62];ydata=[11172 lsqcurvefit在matlab中拟合多元函数问题clc;clear;cc=zeros(1);f=inline('cc(1)*x.^2','cc','x'); loadh1=[0,0.1,0,2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1];loadp1=[loadh1(1)^2*5,loadh1(2)^2*5,loadh1(3)^2*5,loadh1(4)^2*5,loadh1(5)^2*5,loadh1(6)^2*5,loadh1( matlab lsqcurvefit拟合问题我自己定义的函数是function [ F ] = myfun4( x,xdata )xdata=[x(1),-x(2);x(2),x(1)]*xdata;xdata=xdata+[x(3),x(4)];xdata(:,1) = xdata(:,1)+x(3);xdata(:,2) = xdata(:,2)+x(4);F=xdata;end主函数中引用为x = lsqcur 关于lsqcurvefit拟合的问题-matlab我使用lsqcurvefit函数,对一系列的数据进行方程拟合最优值,但是提示Local minimum possible.lsqcurvefit stopped because the final change in the sum of squares relative to its initial value is