papilo - presolver for linear programming problems
papilo |
presolve [options] |
papilo |
postsolve [options] |
- -f FILE,
--file=FILE
- instance file
- -a TYPE,
--arithmetic-type=TYPE
- "d" for double precision, "q" for quad precision, and
"r" for exact rational arithmetic
- -v FILE,
--postsolve-archive=FILE
- filename for postsolve archive
- -r FILE,
--reduced-problem=FILE
- filename for reduced problem
- -p FILE,
--parameter-settings=FILE
- filename for presolve parameter settings
- --print-params
- print possible parameters for presolving
- -t -N,
--threads=N
- set number of threads
- -u FILE,
--reduced-solution=FILE
- filename for solution of reduced problem
- -l FILE,
--solution=FILE
- filename for solution
- --dualsolution=FILE
- filename for dual solution
- -c FILE,
--reducedcosts=FILE
- filename for reduced costs
- -w FILE,
--basis=FILE
- filename for basis information
- -o VALUE,
--reference-objective=VALUE
- correct objective value for validation
- -x FILE,
--soplex-settings=FILE
- SoPlex settings file
- --tlim
LIMIT
- time limit for solver (including presolve time)
- --print-stats
- print detailed solver statistics
- -f FILE,
--file=FILE
- instance file
- -a TYPE,
--arithmetic-type=TYPE
- "d" for double precision, "q" for quad precision, and
"r" for exact rational arithmetic
- -v FILE,
--postsolve-archive=FILE
- filename for postsolve archive
- --dual-reduced-solution=FILE
- filename for the dual solution of the reduced problem
- --cost-reduced-solution=FILE
- filename for the reduced costs of the reduced problem
- --basis-reduced-solution=FILE
- filename for the basis of the reduced problem
- -u FILE,
--reduced-solution=FILE
- filename for solution of reduced problem
- -l FILE,
--solution=FILE
- filename for solution
- --dualsolution=FILE
- filename for dual solution
- -c FILE,
--reducedcosts=FILE
- filename for reduced costs
- -w FILE,
--basis=FILE
- filename for basis information
- -o VALUE,
--reference-objective=VALUE
- correct objective value for validation
- -b FILE,
--validate-solution=FILE
- optimal solution for validation