! \fn int DSDPBlockCountNonzeroMatrices(DSDPBlockData *ADATA,int*nzmats); \brief Count how many data matrices are in a block of data. \param ADATA bl

! \fn int DSDPDSMatOpsInitialize(struct DSDPDSMat_Ops*aops); \brief Set pointers to null. \param aops pointer to table. */

! \fn int DSDPDualMatOpsInitialize(struct DSDPDualMat_Ops* sops){ \brief Set pointers to null. \param sops function pointers */

! \fn int DSDPSchurMatOpsInitialize(struct DSDPSchurMat_Ops* dops); \brief Initialize function pointers to 0. \param dops address of a structure of fu

! \fn int DSDPVMatGetSize(DSDPVMat X, int *n); \brief Get number of rows and columns. \param X dense symmetric matrix \param n number of rows and colu

! \fn int DSDPVMatNormF2(DSDPVMat X, double* normf2); \brief Compute square of Frobenius norm of matrix. \param X dense symmetric matrix \param normf2

! \fn int DSDPVMatScaleDiagonal(DSDPVMat X, double dscale); \brief Scaling diagonal is useful for inner products and norms \param X dense symmetric ma

Prints a brief usage string and exits, optionally with an error message. Args: message: The optional error message.

x = b(p), for dense vectors x and b; p=NULL denotes identity */

C = A' */

@{ \brief Evaluate a function, overloaded \identifier{kf} */

Parses the file set in the initialization. The resulting data is stored in `self.pieces`.

\brief Get default input value \identifier{h6} */

\brief Check if the matrix is a row or column vector \identifier{1b3} */

* m o v e I n a c t i v e T o A c t i v e */

\brief Number of nodes in the algorithm \identifier{uv} */

\brief Get the number of scheme outputs \identifier{26o} */

Number of (scalarised) constraints

\brief Stop derivatives of an expression wrt to all its symbolic variables \identifier{25l} */

\brief Thread-safe unique caching * While an incache/tocache pair in multi-threaded context is safe * it may lead to fresh cache entries being

! \fn int DSDPDataMatGetRank(DSDPDataMat A, int *rank, int n); \brief Get the number of nonzero eigenvalues/eigenvectors for the matrix \param A symm

! \fn int DSDPDualMatSetData(DSDPDualMat *S, struct DSDPDualMat_Ops* ops, void*data); \brief Set the opaque pointer and function pointers to the mat

! \fn int DSDPSchurMatReducePVec(DSDPSchurMat M, DSDPVec x); \brief Collect elements of the vector \param M matrix \param x vector. Important in pa

! \fn int DSDPVMatDestroy(DSDPVMat *X); \brief Deallocate matrix. \param X dense symmetric matrix */

! \fn int SDPConeAddDataMatrix(SDPCone sdpcone,int blockj, int vari, int n, char format,struct DSDPDataMat_Ops* dsdpdataops, void* data); \brief Add a

! \fn int SDPConeComputeSS(SDPCone sdpcone, int blockj, DSDPVec Y, DSDPVMat SS); \brief Sum the data matrices. \param sdpcone semidefinite cone object

! \fn int SDPConeGetBlockSize(SDPCone sdpcone,int blockj, int *n); \ingroup SDPRoutines \brief Get the dimension of one block in the semidefinite con

! \fn int SDPConeRemoveDataMatrix(SDPCone sdpcone,int blockj, int vari); \brief Remove the data matrix \f$A_{i,j}\f$ from the cone \ingroup SDPData \p