Added simgear/magvar which impliments WMM 2000 world magnetic variance model.

[simgear.git] / simgear / math / vector.cxx

diff --git a/simgear/math/vector.cxx b/simgear/math/vector.cxx
index 600d391d15ef76e2e06376bd08b5991d484d4146..75a0cb7af08ad7581e583491bb1d075bdaa1adcc 100644 (file)
--- a/simgear/math/vector.cxx
+++ b/simgear/math/vector.cxx
@@ -28,102 +28,6 @@
 
 #include "vector.hxx"
 
-#include "mat3.h"
-
-
-// Map a vector onto the plane specified by normal
-void map_vec_onto_cur_surface_plane(MAT3vec normal, MAT3vec v0, MAT3vec vec,
-                                   MAT3vec result)
-{
-    MAT3vec u1, v, tmp;
-
-    // calculate a vector "u1" representing the shortest distance from
-    // the plane specified by normal and v0 to a point specified by
-    // "vec".  "u1" represents both the direction and magnitude of
-    // this desired distance.
-
-    // u1 = ( (normal <dot> vec) / (normal <dot> normal) ) * normal
-
-    MAT3_SCALE_VEC( u1,
-                   normal,
-                   ( MAT3_DOT_PRODUCT(normal, vec) /
-                     MAT3_DOT_PRODUCT(normal, normal)
-                     )
-                   );
-
-    // printf("  vec = %.2f, %.2f, %.2f\n", vec[0], vec[1], vec[2]);
-    // printf("  v0 = %.2f, %.2f, %.2f\n", v0[0], v0[1], v0[2]);
-    // printf("  u1 = %.2f, %.2f, %.2f\n", u1[0], u1[1], u1[2]);
-   
-    // calculate the vector "v" which is the vector "vec" mapped onto
-    // the plane specified by "normal" and "v0".
-
-    // v = v0 + vec - u1
-
-    MAT3_ADD_VEC(tmp, v0, vec);
-    MAT3_SUB_VEC(v, tmp, u1);
-    // printf("  v = %.2f, %.2f, %.2f\n", v[0], v[1], v[2]);
-
-    // Calculate the vector "result" which is "v" - "v0" which is a
-    // directional vector pointing from v0 towards v
-
-    // result = v - v0
-
-    MAT3_SUB_VEC(result, v, v0);
-    // printf("  result = %.2f, %.2f, %.2f\n", 
-    // result[0], result[1], result[2]);
-}
-
-
-// Given a point p, and a line through p0 with direction vector d,
-// find the shortest distance from the point to the line
-double fgPointLine(MAT3vec p, MAT3vec p0, MAT3vec d) {
-    MAT3vec u, u1, v;
-    double ud, dd, tmp;
-    
-    // u = p - p0
-    MAT3_SUB_VEC(u, p, p0);
-
-    // calculate the projection, u1, of u along d.
-    // u1 = ( dot_prod(u, d) / dot_prod(d, d) ) * d;
-    ud = MAT3_DOT_PRODUCT(u, d);
-    dd = MAT3_DOT_PRODUCT(d, d);
-    tmp = ud / dd;
-
-    MAT3_SCALE_VEC(u1, d, tmp);;
-
-    // v = u - u1 = vector from closest point on line, p1, to the
-    // original point, p.
-    MAT3_SUB_VEC(v, u, u1);
-
-    return sqrt(MAT3_DOT_PRODUCT(v, v));
-}
-
-
-// Given a point p, and a line through p0 with direction vector d,
-// find the shortest distance (squared) from the point to the line
-double fgPointLineSquared(MAT3vec p, MAT3vec p0, MAT3vec d) {
-    MAT3vec u, u1, v;
-    double ud, dd, tmp;
-    
-    // u = p - p0
-    MAT3_SUB_VEC(u, p, p0);
-
-    // calculate the projection, u1, of u along d.
-    // u1 = ( dot_prod(u, d) / dot_prod(d, d) ) * d;
-    ud = MAT3_DOT_PRODUCT(u, d);
-    dd = MAT3_DOT_PRODUCT(d, d);
-    tmp = ud / dd;
-
-    MAT3_SCALE_VEC(u1, d, tmp);;
-
-    // v = u - u1 = vector from closest point on line, p1, to the
-    // original point, p.
-    MAT3_SUB_VEC(v, u, u1);
-
-    return ( MAT3_DOT_PRODUCT(v, v) );
-}
-
 
 // Given a point p, and a line through p0 with direction vector d,
 // find the shortest distance (squared) from the point to the line