top : THEORY
%----------------------------------------------------------------------------
%
% Vectors Library V3.0 1/6/2009
%
% Authors: Cesar Munoz National Institute of Aerospace
% Rick Butler NASA Langley
% Ben Di Vito NASA Langley
% Jeff Maddalon NASA Langley
% Hanne Gottliebsen National Institute of Aerospace
%
%
% Strategies: vect-distr, vect-distr-off
%
%----------------------------------------------------------------------------
BEGIN
IMPORTING
vectors, % N-dimensional vectors and operations
nvectors, % N-dimensional vectors based on finite sequences
vectors_rew, % Adds distributive rewrites
% See strategies (vect-distr) (vect-distr-off)
vect2D, % Define 2-D Vector from N-dimensional vectors
vect3D, % Define 3-D Vector from N-dimensional vectors
vectors_2D, % 2-dimensional vectors and operations
vectors_2D_rew, % Adds distributive rewrites
% See strategies (vect-distr) (vect-distr-off)
vectors_3D, % 3-dimensional vectors and operations
vectors_3D_rew, % Adds distributive rewrites
% See strategies (vect-distr) (vect-distr-off)
vectors_4D, % 4-dimensional vectors and operations
vectors_cos, % Law of cosines for n-D vectors
vectors_2D_cos, % Law of cosines for 2D vectors
vectors_3D_cos, % Law of cosines for 3D vectors
distance, % distance function
distance_2D, % 2D-distance function
distance_3D, % 3D-distance function
lines, % Using vectors to define lines, and motion
lines_2D, % Using vectors to define lines, and motion
lines_3D, % Using vectors to define lines, and motion
law_cos_pos_2D, % Law of cosines for 2D positions
law_cos_pos_3D, % Law of cosines for 3D positions
closest_approach, % calculate t_cpa for moving particles
closest_approach_2D, % calculate t_cpa for moving particles
closest_approach_relative_2D, %
closest_approach_3D, % calculate t_cpa for moving particles
perpendicular_2D, % line perpendicular to a line through a point
perpendicular_3D, % line perpendicular to a line through a point
intersections_2D, % finding intersection points of lines
basis_2D, % orthonormal basis
matrices, % Theory of matrices
vect_trig_2D, % trigonometric properties of 2D vectors
vect_trig_3D, % trigonometric properties of 3D vectors
cross_3D, % cross-product
linear_independence_3D, % linear independence
sigma_2D, % summations over 2D vectors
sigma_3D, % summations over 3D vectors
sigma_fseq_3D,
fseqs_ops_vect3,
vect_3D_2D, % Projection of a 3D vector (x,y,z) into (x,y)
vect_4D_3D_2D, % Projection of a 4D vector (x,y,z,t) into (x,y,z) and (x,y)
det_2D, % 2D determinant
parallel_2D, % 2D parallel
parallel_3D, % 3D parallel
angles_2D, % angle of vector
trackAngles_2D, % track angles (Air Traffic Management)
between_2D, % defines predicate between?(v1,v2)(u) EXPERIMENTAL
vect3_basis,
ECEF, % Earth-Centered Earth Fixed Cartesian coordinate system
vect_fun_ops, % defines function operators
vect2_fun_ops,
vect3_fun_ops,
linear_transformations_2D, % Linear Functions [Vect2 -> Vect2] AND [Vect2 -> real]
vectors_dot_alt, % dot product defined using sigma[nat] rather than sigma[below(n)]
test_vec % test auto_rewrite+ statements
END top
¤ Dauer der Verarbeitung: 0.1 Sekunden
(vorverarbeitet)
¤
|
Haftungshinweis
Die Informationen auf dieser Webseite wurden
nach bestem Wissen sorgfältig zusammengestellt. Es wird jedoch weder Vollständigkeit, noch Richtigkeit,
noch Qualität der bereit gestellten Informationen zugesichert.
Bemerkung:
Die farbliche Syntaxdarstellung ist noch experimentell.
|