BzrCrvInterp

(xtra_lib/bzrintrp.c:204)

Prototype:

  void BzrCrvInterp(RealType *Result, RealType *Input, int Size)


Description:

Blends the input points using the Interp array and puts the resulted blended point in Result array. Input and Result array are of size Size.

Parameters:

Result: Where the interpolated control points will be placed.
Input: Points to interpolate at node parameter values.
Size: Of control polygon.


Returned Value:

void


Keywords:

interpolation

ConvexHull

(xtra_lib/cnvxhull.c:61)

Prototype:

  int ConvexHull(ConvexHullPoint *DTPts, int *NumOfPoints)


Description:

Convex Hull computation of a set of points. The Convex Hull is returned in place, updating NumOfPoints. Algorithm is based on two articles: 
1. An Efficient Algorithm For Determining The convex Hull of a Finite Set.
   By R.L. Graham, Information processing letters (1972) 132-133.
2. A Reevolution of an Efficient Algorithm For Determining The Convex Hull
   of a Finite Planar Set. By K.R. Anderson, Information Processing
   Letters, January 1978, Vol. 7, Num. 1, 53-55.


Parameters:



 DTPts:           The set of point to compute their convex hull.

 NumOfPoints:     Number of points in set DTPts.




Returned Value:



  int:          TRUE if successful, FALSE otherwise.




Keywords:



 SvdLeastSqr 
  (xtra_lib/nure_svd.c:277)

Prototype:

  RealType SvdLeastSqr(RealType *A, RealType *x, RealType *b, int NData, int Nx)



Description:


Least square solves A x = b. The vector X is of size Nx, vector b is of size NData and matrix A is of size Nx by NData. Uses singular value decomposition. If A != NULL is SVD decomposition is computed, otherwise (A == NULL) a solution is computed for the given b and is placed in x.

Parameters:

A: The matrix of size Nx by NData.
x: The vector of sought solution of size Nx.
b: The vector of coefficients of size NData.
NData, Nx: Dimensions of input.


Returned Value:

RealType: The reciprocal of the condition number, if A != NULL, zero otherwise.


Keywords:

singular value decomposition linear systems