ocmath_simple_math

1 Description
2 Syntax
3 Parameters
4 Return
5 Examples
6 Remark
7 See Also
8 header to Include
9 Reference

Description

Perform arithmatic operation element-wised on two curves

Syntax

int ocmath_simple_math( UINT nSize, double * pX, double * pY, UINT nSrcSize1, const double * pSrcX1, const double * pSrcY1, UINT nSrcSize2, const double * pSrcX2, const double * pSrcY2, int nOperator = MATHTOOL_OPT_ADD, int nRange = MATHTOOL_RNG_CUV, int nMethod = INTERP_TYPE_LINEAR, double dSmoothingFactor = 0 )

Parameters

nSize: [input] the size of result curve
pX: [output] pointer to the x coordinates of result curve
pY: [output] pointer to the y coordinates of result curve
nSrcSize1: [input] the size of the first curve
pSrcX1: [input] pointer to the x coordinates of the first curve
pSrcY1: [input] pointer to the y coordinates of the first curve
nSrcSize2: [input] the size of the second curve
pSrcX2: [input] pointer to the x coordinates of the second curve
pSrcY2: [input] pointer to the y coordinates of the second curve
nOperator: [input] the operation between the two input curve; MATHTOOL_OPT_ADD add operation; MATHTOOL_OPT_SUB subtract operation; MATHTOOL_OPT_DIV divide operation; MATHTOOL_OPT_MUL multiply operation; MATHTOOL_OPT_EXP exponent operation
nRange: [input] the range to perform the operation on; MATHTOOL_RNG_CUV perform the operation on entire curves; MATHTOOL_RNG_COM perform the operation on common x coordinates; MATHTOOL_RNG_UD reserved for future
nMethod: [input] interpolating method, only available when use MATHTOOL_RNG_CUV.; INTERP_TYPE_LINEAR(linear interpolation),; INTERP_TYPE_SPLINE(cubic spline interpolation with not-a-knot boundary condition, and the not-a-knot boundary condition assume that the 3rd order derivative are continuous on the 2nd and last 2nd points),; INTERP_TYPE_BSPLINE(B-Spline curve fitting using method by Dierckx.P)
dSmoothingFactor: [input] This argument specifies the closeness to the original data, only available when nMethod = INTERP_TYPE_BSPLINE. dSmoothingFactor >= 0.; By means of this parameter, the user can control the tradeoff between closeness of fit and smoothness of fit of the approximation.; If dSmoothingFactor is too large, the spline will be too smooth and signal will be lost ; if it is too small the spline will pick up too much noise.; In the extreme cases the program will return an interpolating spline if dSmoothingFactor=0 and the weighted least-squares polynomial of degree 3 if s is very large.

Return

Return OE_NOERROR if succeed, otherwise, non-zero error code is returned.

Examples

EX1

//Assume there is a workbook named "Book1" in the current project
void ocmath_simple_math_ex1()
{
    Worksheet wks("Book1");
    vector vA, vB, vC;
    
    vA.Data(0.0, 6.0, 0.03);
    int iCount = vA.GetSize();
    vB.SetSize(iCount);
    vC.SetSize(iCount);
    
    for( int ii=0; ii<iCount; ii++ )
    {
        vB[ii] = sin(vA[ii]);
        vC[ii] = cos(vA[ii]);
    }

    Dataset dsX(wks, 0);
    Dataset dsY(wks, 1);

    dsX.SetSize(iCount);
    dsY.SetSize(iCount);
    vector vx(iCount);
    vector vy(iCount);
    ocmath_simple_math(iCount, vx, vy, iCount, vA, vB, iCount, vA, vC, MATHTOOL_OPT_ADD);
    dsX = vx;
    dsY = vy;
}