# Documentation

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## Minimal Surface Problem on the Unit Disk

This example shows how to solve a nonlinear elliptic problem.

### A Nonlinear PDE

A nonlinear problem is one whose coefficients not only depend on spatial coordinates, but also on the solution itself. An example of this is the minimal surface equation

 

on the unit disk, with

 

on the boundary. To express this equation in toolbox form, note that the elliptic equation in toolbox syntax is

 

The PDE coefficient c is the multiplier of , namely

 

is a function of the solution , so the problem is nonlinear. In toolbox syntax, you see that the and coefficients are 0.

### Geometry

Create a PDE Model with a single dependent variable, and include the geometry of the unit disk. The circleg function represents this geometry. Plot the geometry and display the edge labels.

numberOfPDE = 1; model = createpde(numberOfPDE); geometryFromEdges(model,@circleg); pdegplot(model,'EdgeLabels','on'); axis equal title 'Geometry with Edge Labels'; 

### Specify PDE Coefficients

a = 0; f = 0; cCoef = @(region,state) 1./sqrt(1+state.ux.^2 + state.uy.^2); specifyCoefficients(model,'m',0,'d',0,'c',cCoef,'a',a,'f',f); 

### Boundary Conditions

Create a function that represents the boundary condition .

bcMatrix = @(region,~)region.x.^2; applyBoundaryCondition(model,'dirichlet','Edge',1:model.Geometry.NumEdges,'u',bcMatrix); 

### Generate Mesh

generateMesh(model,'Hmax',0.1); figure; pdemesh(model); axis equal 

### Solve PDE

Because the problem is nonlinear, solvepde invokes nonlinear solver. Observe the solver progress by setting the SolverOptions.ReportStatistics property of model to 'on'.

model.SolverOptions.ReportStatistics = 'on'; result = solvepde(model); u = result.NodalSolution; 
Iteration Residual Step size Jacobian: Full 0 2.7254e-02 1 3.5437e-04 1.0000000 2 1.1057e-06 1.0000000 

### Plot Solution

figure; pdeplot(model,'XYData',u,'ZData',u); xlabel 'x' ylabel 'y' zlabel 'u(x,y)' title 'Minimal surface' 

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