Vectors and matrices
simple operations on vectors and matrices.
The functions described in this section allow to perform simple transformations on point coordinates. In particular projection onto a plane passing through the vertices of a given triangle or quadratic optimization problems.
Given two points @p1 and @p2, fills @v with the coordinates of vector @p1->@p2.
@v: a #GtsVector.
@p1: a #GtsPoint.
@p2: another #GtsPoint.
Given two vectors @v1 and @v2 evaluates to the scalar product @v1.@v2.
@v1: a #GtsVector.
@v2: another #GtsVector.
Given two vectors @A and @B fills @C with the coordinates of the cross-product @A^@B.
@C: a #GtsVector.
@A: another #GtsVector.
@B: and another.
@v:
@v:
@v:
@fptr:
@v:
@fptr:
A #GtsMatrix is a 3x3 matrix.
@a00:
@a01:
@a02:
@a03:
@a10:
@a11:
@a12:
@a13:
@a20:
@a21:
@a22:
@a23:
@a30:
@a31:
@a32:
@a33:
@Returns:
@m:
@a00:
@a01:
@a02:
@a03:
@a10:
@a11:
@a12:
@a13:
@a20:
@a21:
@a22:
@a23:
@a30:
@a31:
@a32:
@a33:
@m:
@Returns:
@m:
@Returns:
@t:
@Returns:
@m:
@s:
@Returns:
@m:
@t:
@Returns:
@m:
@r:
@angle:
@Returns:
@m:
@Returns:
@m:
@Returns:
@m:
@Returns:
@m:
@Returns:
@m1:
@m2:
@Returns:
@A:
@b:
@n:
@A1:
@b1:
@Returns:
@A:
@b:
@n:
@H:
@c:
@Returns:
@m:
@fptr:
@m: