How to solve two non-linear equations simultaneously?

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I have two non-linear equations, which are having two unknowns. It is not possible to make it one equation with one variable. now I want the solution of these two equations. please help me to solve this by iteration methods, I want that how to code for iterations. I write for solve command with syms, but I got empty solution. i think it can be solved by iteration methods. Hence please tell me how to write a code...
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Bibhu Prasad Ganthia
Bibhu Prasad Ganthia on 3 Jul 2022
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Accepted Answer

Matt J
Matt J on 5 May 2014
See FSOLVE if you have the Optimization Toolbox.

More Answers (1)

Oonitejas Sahoo
Oonitejas Sahoo on 10 Apr 2018
  • %% its the mathematical approach by which i sloved the thermal problems
  • clear all
  • close all
  • %Specify grid size
  • Nx = 10;
  • Ny = 10;
  • %Specify boundary conditions
  • Tbottom = 50
  • Ttop = 150
  • Tleft = 50
  • Tright = 50
  • % initialize coefficient matrix and constant vector with zeros
  • A = zeros(Nx*Ny);
  • C = zeros(Nx*Ny,1);
  • % initial 'guess' for temperature distribution
  • T(1:Nx*Ny,1) = 100;
  • % Build coefficient matrix and constant vector
  • % inner nodes
  • for n = 2:(Ny-1)
  • for m = 2:(Nx-1)
  • i = (n-1)*Nx + m;
  • A(i,i+Nx) = 1;
  • A(i,i-Nx) = 1;
  • A(i,i+1) = 1;
  • A(i,i-1) = 1;
  • A(i,i) = -4;
  • end
  • end
  • % Edge nodes
  • % bottom
  • for m = 2:(Nx-1)
  • %n = 1
  • i = m;
  • A(i,i+Nx) = 1;
  • A(i,i+1) = 1;
  • A(i,i-1) = 1;
  • A(i,i) = -4;
  • C(i) = -Tbottom;
  • end
  • %top:
  • for m = 2:(Nx-1)
  • % n = Ny
  • i = (Ny-1)*Nx + m;
  • A(i,i-Nx) = 1;
  • A(i,i+1) = 1;
  • A(i,i-1) = 1;
  • A(i,i) = -4;
  • C(i) = -Ttop;
  • end
  • %left:
  • for n=2:(Ny-1)
  • %m = 1
  • i = (n-1)*Nx + 1;
  • A(i,i+Nx) = 1;
  • A(i,i+1) = 1;
  • A(i,i-Nx) = 1;
  • A(i,i) = -4;
  • end
  • %right:
  • for n=2:(Ny-1)
  • %m = Nx
  • i = (n-1)*Nx + Nx;
  • A(i,i+Nx) = 1;
  • A(i,i-1) = 1;
  • A(i,i-Nx) = 1;
  • A(i,i) = -4;
  • C(i) = -Tright;
  • end
  • % Corners
  • %bottom left (i=1):
  • i=1;
  • A(i,Nx+i) = 1;
  • A(i,2) = 1;
  • A(i,1) = -4;
  • C(i) = -(Tbottom + Tleft);
  • %bottom right:
  • i = Nx;
  • A(i,i+Nx) = 1;
  • A(i,i-1) = 1;
  • A(i,i) = -4;
  • C(i) = -(Tbottom + Tright);
  • %top left:
  • i = (Ny-1)*Nx + 1;
  • A(i,i+1) = 1;
  • A(i,i) = -4;
  • A(i,i-Nx) = 1;
  • C(i) = -(Ttop + Tleft);
  • %top right:
  • i = Nx*Ny;
  • A(i,i-1) = 1;
  • A(i,i) = -4;
  • A(i,i-Nx) = 1;
  • C(i) = -(Tright + Ttop);
  • %Solve using Gauss-Seidel
  • residual = 100;
  • iterations = 0;
  • while (residual > 0.0001) % The residual criterion is 0.0001 in this example
  • % You can test different values
  • iterations = iterations+1;
  • %Transfer the previously computed temperatures to an array Told
  • Told = T;
  • %Update estimate of the temperature distribution
  • for n=1:Ny
  • for m=1:Nx
  • i = (n-1)*Nx + m;
  • Told(i) = T(i);
  • end
  • end
  • % iterate through all of the equations
  • for n=1:Ny
  • for m=1:Nx
  • i = (n-1)*Nx + m;
  • %sum the terms based on updated temperatures
  • sum1 = 0;
  • for j=1:i-1
  • sum1 = sum1 + A(i,j)*T(j);
  • end
  • %sum the terms based on temperatures not yet updated
  • sum2 = 0;
  • for j=i+1:Nx*Ny
  • sum2 = sum2 + A(i,j)*Told(j);
  • end
  • % update the temperature for the current node
  • T(i) = (1/A(i,i)) * (C(i) - sum1 - sum2);
  • end
  • end
  • residual = max(T(i) - Told(i));
  • end
  • %compute residual
  • deltaT = abs(T - Told);
  • residual = max(deltaT);
  • iterations; % report the number of iterations that were executed
  • %Now transform T into 2-D network so it can be plotted.
  • delta_x = 0.03/(Nx+1);
  • delta_y = 0.03/(Ny+1);
  • for n=1:Ny
  • for m=1:Nx
  • i = (n-1)*Nx + m;
  • T2d(m,n) = T(i);
  • x(m) = m*delta_x;
  • y(n) = n*delta_y;
  • end
  • end
  • T2d;
  • surf(x,y,T2d)
  • figure
  • contour(x,y,T2d)

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