gramSchmidtOrtho

Below is a demonstration of the features of the gramSchmidtOrtho function

Contents

clear; close all; clc;

Syntax

[E]=gramSchmidtOrtho(Q);

Description

This function uses the Gram-Schmidt method to convert the input basis Q to an orthonormal basis E.

Examples

Create example non-orthonormal base vector set

rz=euler2DCM([0 0 0.25*pi]); %Rotation around z
rx=euler2DCM([-0.25*pi 0 0]); %Rotation around x
Q=eye(3,3); %Identify matrix (orthonormal)
Q(:,1)=rz*Q(:,1); % Rotate the 1st axis towards 2nd
Q(:,3)=rx*Q(:,3); % Rotate the 3rd towards 1-2-plane

%Rotate all
R=euler2DCM([0.25*pi 0.25*pi 0.25*pi]);
Q=R*Q;

%Scale all (so not normal)
Q=Q*2;

Use Gram-Schmidt method to obtain an orthonormal basis

[E]=gramSchmidtOrtho(Q)
E =

   0.000000000000000  -0.707106781186548   0.707106781186547
   0.707106781186548  -0.500000000000000  -0.500000000000000
   0.707106781186547   0.500000000000000   0.500000000000000

Visualization

cFigure;

subplot(1,2,1); hold on;
title('A non-orthonormal set');
hp1=quiverTriad(zeros(1,3),Q,2);
axisGeom; camlight headlight;

subplot(1,2,2); hold on;
title('An orthonormal set');
hp2=quiverTriad(zeros(1,3),E,1);
axisGeom; camlight headlight;

gdrawnow;

GIBBON www.gibboncode.org

Kevin Mattheus Moerman, [email protected]

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License: https://github.com/gibbonCode/GIBBON/blob/master/LICENSE

GIBBON: The Geometry and Image-based Bioengineering add-On. A toolbox for image segmentation, image-based modeling, meshing, and finite element analysis.

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