-- Loadable Function: S = sparsersb (A)
 -- Loadable Function: S = sparsersb (I, J, SV, M, N)
 -- Loadable Function: S = sparsersb (I, J, SV, M, N, NZMAX)
 -- Loadable Function: S = sparsersb (I, J, SV)
 -- Loadable Function: S = sparsersb (M, N)
 -- Loadable Function: S = sparsersb (I, J, SV, M, N, "unique")
 -- Loadable Function: sparsersb ("set", OPN, OPV)
 -- Loadable Function: V = sparsersb (S, "get", MIF)
 -- Loadable Function: V = sparsersb (S, QS)
 -- Loadable Function: sparsersb (A,"save",MTXFILENAME)
 -- Loadable Function: [S, NROWS, NCOLS, NNZ, REPINFO, FIELD, SYMMETRY]
= sparsersb (MTXFILENAME, MTXTYPESTRING)
 -- Loadable Function: sparsersb (S,"render", FILENAME[, RWIDTH,
          RHEIGHT])
 -- Loadable Function: [O =] sparsersb (S,"autotune"[, TRANSA, NRHS,
          MAXR, TMAX, TN, SF])
     Create or manipulate sparse matrices using the RSB format provided
     by librsb, as similarly as possible to `sparse'.

     If A is a full matrix, convert it to a sparse matrix
     representation, removing all zero values in the process.

     Given the integer index vectors I and J, and a 1-by-`nnz' vector
     of real or complex values SV, construct the sparse matrix
     `S(I(K),J(K)) = SV(K)' with overall dimensions M and N.

     The argument `NZMAX' is ignored but accepted for compatibility
     with MATLAB and `sparsersb'.

     If M or N are not specified their values are derived from the
     maximum index in the vectors I and J as given by `M = max (I)', `N
     = max (J)'.

     Can load a matrix from a Matrix Market matrix file named
     MTXFILENAME. The optional argument MTXTYPESTRING can specify
     either real ("D") or complex ("Z") type. Default is real.  In the
     case MTXFILENAME is "?", a string listing the available numerical
     types with BLAS-style characters will be returned. If the file
     turns out to contain a Matrix Market dense vector, this will be
     loaded.

     If "save" is specified, saves a sparse RSB matrix as a Matrix
     Market matrix file named MTXFILENAME.

     *Note*: if multiple values are specified with the same I, J
     indices, the corresponding values in SV will be added.

     The following are all equivalent:

          s = sparsersb (i, j, s, m, n)
          s = sparsersb (i, j, s, m, n, "summation")
          s = sparsersb (i, j, s, m, n, "sum")

     If the optional "unique" keyword is specified, then if more than
     two values are specified for the same I, J indices, only the last
     value will be used.

     `sparsersb (M, N)' will create an empty MxN sparse matrix and is
     equivalent to `sparsersb ([], [], [], M, N)'.

     If M or N are not specified, then `M = max (I)', `N = max (J)'.

     If OPN is a string representing a valid librsb option name and OPV
     is a string representing a valid librsb option value, these will
     be passed to the `rsb_lib_set_opt_str()' function.

     If MIF is a string specifying a valid librsb matrix info string
     (valid for librsb's `rsb_mtx_get_info_from_string()'), then the
     corresponding value will be returned for matrix `A', in string
     `V'. If MIF is the an empty string (""), matrix structure
     information will be returned.

     If A is a sparsersb matrix and QS is a string, QS will be
     interpreted as a query string about matrix A. String `V' will be
     returned. See librsb's `rsb_mtx_get_info_str()'.  *Note*: this
     feature is still incomplete, and whatever the value of QS, a
     general information string will be returned.

     If S is a sparsersb matrix and the "render" keyword is specified,
     and FILENAME is a string, A will be rendered as an Encapsulated
     Postscript file FILENAME. Optionally, width and height can be
     specified in `RWIDTH, RHEIGHT'. Defaults are 512.

     If S is a sparsersb matrix and the "autotune" keyword is
     specified, autotuning of the matrix will take place, with SpMV and
     autotuning parameters. After the "autotune" string, the remaining
     parameters are optional. Parameter TRANSA specifies whether to
     tune for untransposed ("N") or transposed ("T"); NRHS the number
     of right hand sides; MAXR the number of tuning rounds; TMAX the
     threads to use. If giving an output argument O, that will be
     assigned to the autotuned matrix, and the input one A will remain
     unchanged. See librsb documentation for `rsb_tune_spmm' to learn
     more.

     Please note that on `sparsersb' type variables are available most,
     but not all of the operators available for `full' or `sparse'
     typed variables.

     See also: full, sparse



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