Sage Reference Manual: Numerical Optimization - Mirrors

Sage Reference Manual: Numerical Optimization, Release 6.1.1
set_objective(coeff, d=0)
Set the objective function.
INPUT:
•coeff – a list of real values, whose ith element is the coefficient of the ith variable in the objective
function.
EXAMPLE:
sage: from sage.numerical.backends.generic_backend import get_solver
sage: p = get_solver(solver = "PPL")
sage: p.add_variables(5)
4
sage: p.set_objective([1, 1, 2, 1, 3])
sage: map(lambda x :p.objective_coefficient(x), range(5))
[1, 1, 2, 1, 3]
set_sense(sense)
Set the direction (maximization/minimization).
INPUT:
•sense (integer) :
EXAMPLE:
–+1 => Maximization
–-1 => Minimization
sage: from sage.numerical.backends.generic_backend import get_solver
sage: p = get_solver(solver = "PPL")
sage: p.is_maximization()
True
sage: p.set_sense(-1)
sage: p.is_maximization()
False
set_variable_type(variable, vtype)
Set the type of a variable.
EXAMPLE:
sage: from sage.numerical.backends.generic_backend import get_solver
sage: p = get_solver(solver = "PPL")
sage: p.add_variables(5)
4
sage: p.set_variable_type(3, -1)
sage: p.set_variable_type(3, -2)
Traceback (most recent call last):
...
Exception: ...
set_verbosity(level)
Set the log (verbosity) level. Not Implemented.
EXAMPLE:
sage: from sage.numerical.backends.generic_backend import get_solver
sage: p = get_solver(solver = "PPL")
sage: p.set_verbosity(0)
100 Chapter 5. LP Solver backends