表1显示了Newton–Raphson方法的收敛迭代历史。注意,该算法在第六次迭代时收敛,在该次迭代时,下述等式中的收敛标准变得小于既定误差。 表1. 用Newton-Raphson方法求解两个非线性弹簧的收敛历史 由于雅可比矩阵的初始斜率较小,因此初始预测的位移远大于实际位移。当MATLAB程序不断地进行迭代时,位移最终收敛到精确值,即u...
Julia 分形: Newton-Raphson 分形: 考虑一个复数多项式,比如:,f(z)=z4−1,z=x+iy 设定一个初始值,按照 Newton-Raphson 迭代,z4收敛到 1,记录收敛次数;将不同的初始值的收敛次数记录并绘制图形,即可得到漂亮的分形图。 不同多项式结果图如下,源码在后面。 f(z)=z^2-1 f(z)=z^3-1 f(z)=z^4-...
求解非线性方程组的Newton-Raphson方法: 1、 取初始点x(0)x(0),最大迭代次数NN和精度要求εε, 置k=0k=0; 2、 求解线性方程组J(x(k))d=−F(x(k))J(x(k))d=−F(x(k)); 3、 若|d|<ε|d|<ε, 则停止计算;否则,置 x(k+1)=x(k)+d(k)x(k+1)=x(k)+d(k); ...
牛顿-拉夫逊法潮流计算 matlab 程序(Newton Raphson method of power flow calculation matlab program) 牛顿-拉夫逊法潮流计算 matlab 程序(Newton Raphson method of power flow calculation matlab program) 主程序”powerflow_nr。” [ bus_res 功能,s_res ] = powerflow_nr_2 %牛顿-拉夫逊法解潮流方程的主...
```matlab function [x, iterations] = newton_raphson(f, df, x0, tol, max_iterations) f:目标函数 df:目标函数的梯度 x0:初始点 tol:允许的误差范围 max_iterations:最大迭代次数 x = x0; iterations = 0; while abs(f(x)) > tol && iterations < max_iterations x = x - f(x) / df(x...
经典Newton-Raphson牛顿法求解非线性方程组matlab源程序function hom [P,iter,err]=newton('f','JF',[7.8e-001;4.9e-001;3.7e-001],0.01,0.001,1000); disp(P); disp(iter); disp(err); function Y=f(x,y,z) Y=[x^2+y^2+z^2-1; 2*x^2+y^2-4*z; 3*x^2-4*y+z^2]; function ...
I am trying to use a newton raphson method to find pnew for a shock tube in my gas dynamics class. I get the error message below. Subscript indices must either be real positive integers or logicals. Error in Untitled (line 34) end ...
(Y)0.0001) break end end end end pre lang matlab line 1 file test.m pre lang matlab line 1 file test.m function homework4 function homework4 [P,iter,err] newton(f,JF,[7.8e-001...
Newton: structure array that contains several variables of each Newton-Raphson iteration. It includes Jacobian matrix, Pcal, Qcal, Residual, Mismatch, V and Phase. The row of structure array represents round iteration. (Don’t serious to these elements, this is for who wan...
MATLAB function x = newtonRaphson(x0, maxIter, epsilon) x = x0; for iter = 1:maxIter [F, dF] = equation(x); if abs(F) < epsilon break; end x = x - F / dF; end end 在这个示例中,我们定义了一个名为newtonRaphson的函数,该函数接收一个初始猜测值x0、最大迭代次数maxIter和收敛条件...