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Scilab manual >> API Scilab > Low level functions > Polynomial Symbolic Variable (Scilab gateway)

Polynomial Symbolic Variable (Scilab gateway)

How to get the symbolic variable name.

Calling Sequence

Input argument profile:

SciErr getPolyVariableName(void* _pvCtx, int* _piAddress, char* _pstVarName, int* _piVarNameLen)

Arguments

_pvCtx

Scilab environment pointer, pass in "pvApiCtx" provided by api_scilab.h.

_piAddress

Address of the variable.

_pstVarName

Return the symbolic varaible name

_piVarNameLen

Return the length of _pstVarName

SciErr

Error structure where is stored errors messages history and first error number.

Description

This help describes how to get the symbolic variable name.

Gateway Source

int read_poly(char *fname,unsigned long fname_len)
{
    SciErr sciErr;
    int i,j;
    //variable info
    int iRows            = 0;
    int iCols            = 0;
    int iVarLen            = 0;
    int* piAddr            = NULL;
    int* piNbCoef        = NULL;
    double** pdblReal    = NULL;
    double** pdblImg    = NULL;
    char* pstVarname    = NULL;

    //check input and output arguments
    CheckRhs(1,1);
    CheckLhs(1,1);

    sciErr = getVarAddressFromPosition(pvApiCtx, 1, &piAddr);
    if(sciErr.iErr)
    {
        printError(&sciErr, 0);
        return 0;
    }

    if(isVarComplex(pvApiCtx, piAddr) == FALSE)
    {
        //Error
        return 0;
    }

    //get variable name length
    sciErr = getPolyVariableName(pvApiCtx, piAddr, NULL, &iVarLen);
    if(sciErr.iErr)
    {
        printError(&sciErr, 0);
        return 0;
    }

    //alloc buff to receive variable name
    pstVarname = (char*)malloc(sizeof(char) * (iVarLen + 1));//1 for null termination
    //get variable name
    sciErr = getPolyVariableName(pvApiCtx, piAddr, pstVarname, &iVarLen);
    if(sciErr.iErr)
    {
        printError(&sciErr, 0);
        return 0;
    }

    //First call: retrieve dimmension
    sciErr = getComplexMatrixOfPoly(pvApiCtx, piAddr, &iRows, &iCols, NULL, NULL, NULL);
    if(sciErr.iErr)
    {
        printError(&sciErr, 0);
        return 0;
    }

    //alloc array of coefficient
    piNbCoef = (int*)malloc(sizeof(int) * iRows * iCols);
    //Second call: retrieve coefficient
    sciErr = getComplexMatrixOfPoly(pvApiCtx, piAddr, &iRows, &iCols, piNbCoef, NULL, NULL);
    if(sciErr.iErr)
    {
        printError(&sciErr, 0);
        return 0;
    }

    //alloc arrays of data
    pdblReal    = (double**)malloc(sizeof(double*) * iRows * iCols);
    pdblImg     = (double**)malloc(sizeof(double*) * iRows * iCols);
    for(i = 0 ; i < iRows * iCols ; i++)
    {
        pdblReal[i] = (double*)malloc(sizeof(double) * piNbCoef[i]);
        pdblImg[i] = (double*)malloc(sizeof(double) * piNbCoef[i]);
    }

    //Third call: retrieve data
    sciErr = getComplexMatrixOfPoly(pvApiCtx, piAddr, &iRows, &iCols, piNbCoef, pdblReal, pdblImg);
    if(sciErr.iErr)
    {
        printError(&sciErr, 0);
        return 0;
    }

    //Do something with Data

    //Invert polynomials in the matrix and invert coefficients

    for(i = 0 ; i < (iRows * iCols) / 2 ; i++)
    {
        int iPos1            = iRows * iCols - 1 - i;
        double* pdblSave    = NULL;
        int iNbCoefSave        = 0;

        //switch array of coefficient
        pdblSave            = pdblReal[i];
        pdblReal[i]            = pdblReal[iPos1];
        pdblReal[iPos1]        = pdblSave;

        pdblSave            = pdblImg[i];
        pdblImg[i]            = pdblImg[iPos1];
        pdblImg[iPos1]        = pdblSave;

        //switch number of coefficient
        iNbCoefSave            = piNbCoef[i];
        piNbCoef[i]            = piNbCoef[iPos1];
        piNbCoef[iPos1]        = iNbCoefSave;
    }

    //switch coefficient
    for(i = 0 ; i < iRows * iCols ; i++)
    {
        for(j = 0 ; j < piNbCoef[i] /2 ; j++)
        {
            int iPos2            = piNbCoef[i] - 1 - j;
            double dblVal        = pdblReal[i][j];
            pdblReal[i][j]        = pdblReal[i][iPos2];
            pdblReal[i][iPos2]    = dblVal;

            dblVal                = pdblImg[i][j];
            pdblImg[i][j]        = pdblImg[i][iPos2];
            pdblImg[i][iPos2]    = dblVal;
        }
    }

    sciErr = createComplexMatrixOfPoly(pvApiCtx, Rhs + 1, pstVarname, iRows, iCols, piNbCoef, pdblReal, pdblImg);
    if(sciErr.iErr)
    {
        printError(&sciErr, 0);
        return 0;
    }

    //free OS memory
    free(pstVarname);
    free(piNbCoef);

    for(i = 0 ; i < iRows * iCols ; i++)
    {
        free(pdblReal[i]);
        free(pdblImg[i]);
    }

    free(pdblReal);
    free(pdblImg);

    //assign allocated variables to Lhs position
    LhsVar(1) = Rhs + 1;
    return 0;
}

Scilab test script

coeff1 = [ ..
29*%i,22*%i,16*%i,11*%i,7*%i,30,23,17,12,8,-31*%i,-24*%i,-18*%i,-13*%i,-9*%i,32,25,19,14,10,-33*%i,-26*%i,-20*%i,-15*%i,0,34,27,21,0,0,0,-28*%i,0,0,0,36-35*%i,0,0,0,0; ..
4*%i,2*%i,%i,22,16,5,-3,0,-23*%i,-17*%i,-6*%i,0,0,24,18,0,0,0,-25*%i,-19*%i,0,0,0,26,20,0,0,0,-27*%i,-21*%i,0,0,0,28,0,0,0,0,0,0; ..
11,7,4,2,1,-12*%i,-8*%i,-5*%i,3*%i,0,13,9,6,0,0,-14*%i,-10*%i,0,0,0,15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0];

x = poly(0, "x");
p1  = 1;
p2  = 2 * x + 3 * %i;
p3  = 4 * x**2 - 5 * %i * x + 6;
p4  = 7 * x**3 - 8 * %i * x**2 + 9 * x - 10 * %i;
p5  = 11 * x**4 - 12 * %i * x**3 + 13 * x**2 - 14 * %i * x + 15;
p6  = 16 * x**5 - 17 * %i * x**4 + 18 * x**3 - 19 * %i * x**2 + 20 * x  - 21 * %i;
p7  = 22 * x**6 - 23 * %i * x**5 + 24 * x**4 - 25 * %i * x**3 + 26 * x**2 - 27 * %i * x + 28;
p8  = %i;
p9  = 2 * %i * x - 3;
p10 = 4 * %i * x**2 + 5 * x - 6 * %i;
p11 = 7 * %i * x**3 + 8 * x**2 - 9 * %i * x + 10;
p12 = 11 * %i * x**4 + 12 * x**3 - 13 * %i * x**2 + 14 * x - 15 * %i;
p13 = 16 * %i * x**5 + 17 * x**4 - 18 * %i * x**3 + 19 * x**2 - 20 * %i * x  + 21;
p14 = 22 * %i * x**6 + 23 * x**5 - 24 * %i * x**4 + 25 * x**3 - 26 * %i * x**2 + 27 * x - 28 * %i;
p15 = 29 * %i * x**7 + 30 * x**6 - 31 * %i * x**5 + 32 * x**4 - 33 * %i * x**3 + 34 * x**2 - 35 * %i + 36;
p = [p1, p2, p3, p4, p5 ; p6, p7, p8, p9 ,p10 ; p11, p12, p13, p14, p15];

p1 = read_poly(p);
coeff2 = coeff(p1);
if or(coeff2 <> coeff1) then error("failed"), end
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Last updated:
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