The QP Solutions product includes two standalone solver programs incorporating library modules to solve quadratic programming problems, with linear constraints and a convex quadratic objective. OSLQSLV uses a two-stage, simplex based algorithm to mimimize the quadratic objective, while OSLQBSLV uses the interior point solver to mimimize a regularized form of the quadratic objective. Brief descriptions of the algorithms incorporated into these programs are included in the opening sections of the Library Users Guide.

Both OSLQSLV and OSLQBSLV accept many command line parameters (which may be retrieved from a parameter file) to specify program options. The program options available in all the application programs include: the size of the program workspace (limited only by available memory), whether the objective is to be minimized or maximized, names of input and/or output files, and specification of new values for OSL control variables. All the settable control variables are accessible by this means. Control variables and their uses are explained in the library User's Guide.

All the application programs accept problem data (in MPS format) from stdin, and direct output to stdout. Input data may be piped in from another program, which generates the data or retrieves it from some other source, or it may be read from a file. Output may be directed into a file or piped into another program, in the usual way, or written directly to an output file whose name has been supplied as a program option.

For further information about using the IBM QP Solutions solvers, click on User Guide, to view the document, or on Download to obtain a trial copy of the program and a sample MPS data set.

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Notes:

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