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cspice_vdist

Table of contents
Abstract
I/O
Parameters
Examples
Particulars
Exceptions
Files
Restrictions
Required_Reading
Literature_References
Author_and_Institution
Version
Index_Entries

Abstract


   CSPICE_VDIST returns the distance between two
   three-dimensional vectors.

I/O


   Given:

      v1       an arbitrary vector(s).

               [3,n] = size(v1); double = class(v1)

      v2       also an arbitrary vector(s).

               [3,n] = size(v2); double = class(v2)

   the call:

      [vdist] = cspice_vdist(v1, v2)

   returns:

      vdist    the value(s) describing the distance(s) between `v1' and `v2',
               distance defined as:

                   ||  v1 - v2  ||,

                      _                                               _
               where || x || indicates the Euclidean norm of the vector x.

               [1,n] = size(vdist); double = class(vdist)

               `vdist' returns with the same vectorization measure, N,
               as `v1' and `v2'.

Parameters


   None.

Examples


   Any numerical results shown for these examples may differ between
   platforms as the results depend on the SPICE kernels used as input
   and the machine specific arithmetic implementation.

   1) Define a set of vectors and calculate the distance between them.

      Example code begins here.


      function vdist_ex1()
         %
         % Define a set of vectors, calculate the distance
         % between the coordinates.
         %
         v1 = [1; 0; 0];
         v2 = [0; 1; 0];

         vdist = cspice_vdist( v1, v2 );
         disp( 'Scalar:' )
         fprintf( '  %12.6f\n', vdist )

         %
         % Instead of two calls with 3-vectors,
         % vectorize the input as two 3X2 array.
         %
         v1 = [ [1; 0; 0], [1; 0; 0] ];
         v2 = [ [1; 0; 0], [0; 1; 0] ];

         vdist = cspice_vdist( v1, v2 );
         disp( 'Vectorized:' )
         for i=1:2
            fprintf( '  %12.6f\n', vdist(i))
         end


      When this program was executed on a Mac/Intel/Octave6.x/64-bit
      platform, the output was:


      Scalar:
            1.414214
      Vectorized:
            0.000000
            1.414214


   2) Given the planetocentric coordinates of a point on the surface of
      Mars, compute the distance between that point and Phobos.

      Use the meta-kernel shown below to load the required SPICE
      kernels.


         KPL/MK

         File: vdist_ex2.tm

         This meta-kernel is intended to support operation of SPICE
         example programs. The kernels shown here should not be
         assumed to contain adequate or correct versions of data
         required by SPICE-based user applications.

         In order for an application to use this meta-kernel, the
         kernels referenced here must be present in the user's
         current working directory.

         The names and contents of the kernels referenced
         by this meta-kernel are as follows:

            File name                        Contents
            ---------                        --------
            de430.bsp                        Planetary ephemeris
            mar097.bsp                       Mars satellite ephemeris
            pck00010.tpc                     Planet orientation and
                                             radii
            naif0011.tls                     Leapseconds


         \begindata

            KERNELS_TO_LOAD = ( 'de430.bsp',
                                'mar097.bsp',
                                'pck00010.tpc',
                                'naif0011.tls'  )

         \begintext

         End of meta-kernel


      Example code begins here.


      function vdist_ex2()

         %
         % Load the kernels.
         %
         cspice_furnsh( 'vdist_ex2.tm' );

         %
         % Define the point on the surface of Mars by its planetocentric
         % coordinates, and the epoch.
         %
         epoch  = '2018-07-25 17:14';
         lon    =    8.544377 * cspice_rpd;
         lat    =   42.880602 * cspice_rpd;
         radius = 3380.0;

         %
         % Convert that point coordinates to rectangular.
         %
         [rover] = cspice_latrec( radius, lon, lat );

         %
         % Convert the UTC epoch to ephemeris time.
         %
         [et] = cspice_str2et( epoch );

         %
         % Compute the position of Phobos with respect to Mars in IAU_MARS
         % body-fixed reference frame.
         %
         [pos, lt] = cspice_spkpos( 'PHOBOS', et,   'IAU_MARS', ...
                                      'NONE',  'MARS'           );

         %
         % Compute the distance between Phobos and the point on the surface
         % of Mars.
         %
         dist = cspice_vdist( rover, pos );
         fprintf( ' Epoch:  %s\n', epoch )
         fprintf( ' Distance between location and Phobos (km):  %11.5f\n', ...
                                                                    dist )

         %
         % It's always good form to unload kernels after use,
         % particularly in Matlab due to data persistence.
         %
         cspice_kclear


      When this program was executed on a Mac/Intel/Octave6.x/64-bit
      platform, the output was:


       Epoch:  2018-07-25 17:14
       Distance between location and Phobos (km):   7174.78139


Particulars


   This function is simply shorthand for the code

      diff = v1 - v2;

      dist = cspice_vnorm( diff );

   Using this function saves you the annoyance of declaring local
   storage for the difference vector `diff'.


   The Euclidean norm of a three-dimensional vector (x, y, z) is
   defined as

                                   1/2
           2        2        2
      (   x    +   y    +   z    ).


   This number is the distance of the point (x, y, z) from the
   origin. If `a' and `b' are two vectors whose components are

      ( a(1), a(2), a(3) )    and    ( b(1), b(2), b(3) ),

   then the distance between `a' and `b' is the norm of the difference
   a - b, which has components


      (  a(1) - b(1),  a(2) - b(2),  a(3) - b(3)  ).

Exceptions


   1)  If any of the input arguments, `v1' or `v2', is undefined, an
       error is signaled by the Matlab error handling system.

   2)  If any of the input arguments, `v1' or `v2', is not of the
       expected type, or it does not have the expected dimensions and
       size, an error is signaled by the Mice interface.

   3)  If the input vectorizable arguments `v1' and `v2' do not have
       the same measure of vectorization (N), an error is signaled by
       the Mice interface.

Files


   None.

Restrictions


   None.

Required_Reading


   MICE.REQ

Literature_References


   None.

Author_and_Institution


   J. Diaz del Rio     (ODC Space)
   E.D. Wright         (JPL)

Version


   -Mice Version 1.1.0, 25-AUG-2021 (EDW) (JDR)

       Edited the header to comply with NAIF standard. Added
       example #1's problems statement, and a second complete example.

       Changed output argument name "dist" to "vdist" to comply with
       NAIF standard.

       Added -Parameters, -Particulars -Exceptions, -Files, -Restrictions,
       -Literature_References and -Author_and_Institution sections.

       Eliminated use of "lasterror" in rethrow.

       Removed reference to the function's corresponding CSPICE header from
       -Required_Reading section.

   -Mice Version 1.0.1, 18-DEC-2014 (EDW)

       Edited -I/O section to conform to NAIF standard for Mice
       documentation.

   -Mice Version 1.0.0, 22-NOV-2005 (EDW)

Index_Entries


   distance between 3-dimensional vectors


Fri Dec 31 18:44:28 2021