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glpsol - Online in the Cloud

Run glpsol in OnWorks free hosting provider over Ubuntu Online, Fedora Online, Windows online emulator or MAC OS online emulator

This is the command glpsol that can be run in the OnWorks free hosting provider using one of our multiple free online workstations such as Ubuntu Online, Fedora Online, Windows online emulator or MAC OS online emulator

PROGRAM:

NAME


glpsol - large-scale linear and mixed integer programming solver

SYNOPSIS


glpsol [options...] filename

DESCRIPTION


General options:
--mps read LP/MIP problem in fixed MPS format

--freemps
read LP/MIP problem in free MPS format (default)

--lp read LP/MIP problem in CPLEX LP format

--glp read LP/MIP problem in GLPK format

--math read LP/MIP model written in GNU MathProg modeling language

-m filename, --model filename
read model section and optional data section from filename (same as --math)

-d filename, --data filename
read data section from filename (for --math only); if model file also has data
section, it is ignored

-y filename, --display filename
send display output to filename (for --math only); by default the output is sent to
terminal

--seed value
initialize pseudo-random number generator used in MathProg model with specified
seed (any integer); if seed value is ?, some random seed will be used

--mincost
read min-cost flow problem in DIMACS format

--maxflow
read maximum flow problem in DIMACS format

--cnf read CNF-SAT problem in DIMACS format

--simplex
use simplex method (default)

--interior
use interior point method (LP only)

-r filename, --read filename
read solution from filename rather to find it with the solver

--min minimization

--max maximization

--scale
scale problem (default)

--noscale
do not scale problem

-o filename, --output filename
write solution to filename in printable format

-w filename, --write filename
write solution to filename in plain text format

--ranges filename
write sensitivity analysis report to filename in printable format (simplex only)

--tmlim nnn
limit solution time to nnn seconds

--memlim nnn
limit available memory to nnn megabytes

--check
do not solve problem, check input data only

--name probname
change problem name to probname

--wmps filename
write problem to filename in fixed MPS format

--wfreemps filename
write problem to filename in free MPS format

--wlp filename
write problem to filename in CPLEX LP format

--wglp filename
write problem to filename in GLPK format

--wcnf filename
write problem to filename in DIMACS CNF-SAT format

--log filename
write copy of terminal output to filename

-h, --help
display this help information and exit

-v, --version
display program version and exit

LP basis factorization options:
--luf LU + Forrest-Tomlin update (faster, less stable; default)

--cbg LU + Schur complement + Bartels-Golub update (slower, more stable)

--cgr LU + Schur complement + Givens rotation update (slower, more stable)

Options specific to simplex solver:
--primal
use primal simplex (default)

--dual use dual simplex

--std use standard initial basis of all slacks

--adv use advanced initial basis (default)

--bib use Bixby's initial basis

--ini filename
use as initial basis previously saved with -w (disables LP presolver)

--steep
use steepest edge technique (default)

--nosteep
use standard "textbook" pricing

--relax
use Harris' two-pass ratio test (default)

--norelax
use standard "textbook" ratio test

--presol
use presolver (default; assumes --scale and --adv)

--nopresol
do not use presolver

--exact
use simplex method based on exact arithmetic

--xcheck
check final basis using exact arithmetic

Options specific to interior-point solver:
--nord use natural (original) ordering

--qmd use quotient minimum degree ordering

--amd use approximate minimum degree ordering (default)

--symamd
use approximate minimum degree ordering

Options specific to MIP solver:
--nomip
consider all integer variables as continuous (allows solving MIP as pure LP)

--first
branch on first integer variable

--last branch on last integer variable

--mostf
branch on most fractional variable

--drtom
branch using heuristic by Driebeck and Tomlin (default)

--pcost
branch using hybrid pseudocost heuristic (may be useful for hard instances)

--dfs backtrack using depth first search

--bfs backtrack using breadth first search

--bestp
backtrack using the best projection heuristic

--bestb
backtrack using node with best local bound (default)

--intopt
use MIP presolver (default)

--nointopt
do not use MIP presolver

--binarize
replace general integer variables by binary ones (assumes --intopt)

--fpump
apply feasibility pump heuristic

--proxy [nnn]
apply proximity search heuristic (nnn is time limit in seconds; default is 60)

--proxy
apply proximity search heuristic

--gomory
generate Gomory's mixed integer cuts

--mir generate MIR (mixed integer rounding) cuts

--cover
generate mixed cover cuts

--clique
generate clique cuts

--cuts generate all cuts above

--mipgap tol
set relative mip gap tolerance to tol

--minisat
translate integer feasibility problem to CNF-SAT and solve it with MiniSat solver

--objbnd bound
add inequality obj <= bound (minimization) or obj >= bound (maximization) to
integer feasibility problem (assumes --minisat)

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