Support function algorithm:
Reconstructs an approximation to a convex body from a finite number of noisy measurements
of its support function. See the section on Algorithms for more information.
Choose 2D or 3D reconstruction:  
Please EITHER choose a target shape from the drop-down menu OR enter an array of vertices of a target
convex polyhedron in the form "x1,y1,z1; x2,y2,z2; ...; xn,yn,zn".
Click here for more entry instructions.
You can enter mathematical expressions into the vertices box using
the operators -, +, *, /, and ^. Please separate each operator and
operand by a space. An example vertex: 2 ^ .5, 2 ^ .5, -2
Target shape 
Vertices 
Number of measurements 
Noise level (between 0 and 1) 
Render reconstruction using WebGL (experimental) 
Please EITHER enter the number of vertices of a target regular polygon OR enter an array of vertices
of a target convex polygon in clockwise order in the form "x1,y1; x2,y2; ...; xn,yn".
Click here for more entry instructions.
You can enter mathematical expressions into the vertices box using
the operators -, +, *, /, and ^. Please separate each operator and operand
by a space. An example set of vertices: 5, 2 ^ (1 / 2); 6 + 2 ^ 0, -1; 0, 0
Number of vertices of regular polygon 
Vertices 
Number of measurements 
Noise level (between 0 and 1) 
*Please allow up to two minutes for reconstructions from a large number of measurements.