\brief Dependent parameters \identifier{5r} */

@{ \brief Error function: x -> erf(x) \identifier{pm} */

* h o t s t a r t */

* i n i t */

* i n i t */

\brief Check if binary operation \identifier{1qk} */

\brief Check if the matrix is a column vector (i.e. size2()==1) \identifier{1b5} */

\brief Check if the matrix expression is dense \identifier{1b0} */

\brief Check if unary operation \identifier{1qj} */

Get Jacobian sparsity for an output/input pair

\brief Expand MX graph to SXFunction call * * Expand the given expression e, optionally * supplying expressions contained in it at wh

* m o v e F i x e d T o F r e e */

\brief Get the number of scheme inputs \identifier{270} */

* s e t u p A l l F r e e */

If input points to ( or { or [ or <, finds the position that closes it. If lines[linenum][pos] points to a '(' or '{' or '[' or '<', finds the li

! \fn int DSDPBlockADot(DSDPBlockData *ADATA, double aa, DSDPVec Alpha, DSDPVMat X, DSDPVec AX){ \brief Compute inner product of XX with data matrices

! \fn int DSDPDataMatGetEig(DSDPDataMat A, int rr, SDPConeVec V, DSDPIndex S, double *eigenvalue); \brief Get an eigenvalue/vector pair. \param A sym

! \fn int DSDPDualMatCholeskyFactor(DSDPDualMat S, DSDPTruth *psdefinite); \brief Factor the matrix \param S dual matrix \param psdefinite true if S i

! \fn int DSDPDualMatSetArray(DSDPDualMat S, DSDPVMat T); \brief Print the matrix. \param S dual matrix \param T Dense array matrix. */

! \fn int DSDPGetRR(DSDP dsdp,double *res); \param dsdp solver \param *res set variable r \brief Get variable r. */

! \fn int DSDPMakeVMatWithArray(char UPLQ, double xx[], int nnz, int n, DSDPVMat *X); \brief Allocate V matrix using the given array. \param UPLQ form

Return the most recent non-blank line and its line number. Args: clean_lines: A CleansedLines instance containing the file contents. linenu