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- Polynomial Symbolic Variable (Scilab gateway)
- Polynomial reading (Scilab gateway)
- Polynomial writing (Scilab gateway)
- Sparse matrix reading (Scilab gateway)
- Sparse writing (Scilab gateway)
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Polynomial reading (Scilab gateway)
How to read matrices of polynomials in a gateway.
Calling Sequence
Input argument profile:
SciErr getMatrixOfPoly(void* _pvCtx, int* _piAddress, int* _piRows, int* _piCols, int* _piNbCoef, double** _pdblReal)
SciErr getComplexMatrixOfPoly(void* _pvCtx, int* _piAddress, int* _piRows, int* _piCols, int* _piNbCoef, double** _pdblReal, double** _pdblImg)
Named variable profile:
SciErr readNamedMatrixOfPoly(void* _pvCtx, const char* _pstName, int* _piRows, int* _piCols, int* _piNbCoef, double** _pdblReal)
SciErr readNamedComplexMatrixOfPoly(void* _pvCtx, const char* _pstName, int* _piRows, int* _piCols, int* _piNbCoef, double** _pdblReal, double** _pdblImg)
Arguments
- _pvCtx
Scilab environment pointer, pass in "pvApiCtx" provided by api_scilab.h.
- _piAddress
Address of the Scilab variable.
- _pstName
Name of the variable for "named" functions.
- _piRows
Return number of rows.
- _piCols
Return number of columns.
- _piNbCoef
Return number of coefficient for each polynomial. (must be allocated)
- _pdblReal
Address of array of double* with imaginary part of coefficient (size: _iCols * _iRows, must be allocated)
- _pdblImg
Address of array of double* with imaginary part of coefficient (size: _iCols * _iRows, must be allocated)
- SciErr
Error structure where is stored errors messages history and first error number.
Description
This help describes how matrix of polynomials can be handled through the Scilab API.
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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