## 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