Sage Reference Manual: Numerical Optimization - Mirrors

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Sage Reference Manual: Numerical Optimization, Release 6.1.1 9. Solve it and print the solution. The following example shows all these steps: sage: p = MixedIntegerLinearProgram(maximization=False, solver = "GLPK") sage: w = p.new_variable(integer=True) sage: p.add_constraint(w[0] + w[1] + w[2] - 14*w[3] == 0) sage: p.add_constraint(w[1] + 2*w[2] - 8*w[3] == 0) sage: p.add_constraint(2*w[2] - 3*w[3] == 0) sage: p.add_constraint(w[0] - w[1] - w[2] >= 0) sage: p.add_constraint(w[3] >= 1) sage: _ = [ p.set_min(w[i], None) for i in range(1,4) ] sage: p.set_objective(w[3]) sage: p.show() Minimization: x_3 Constraints: 0.0
Sage Reference Manual: Numerical Optimization, Release 6.1.1 2.1 Index of functions and methods Below are listed the methods of MixedIntegerLinearProgram. MIPSolverException exception, as well as the MIPVariable class. This module also implements the add_constraint() base_ring() constraints() get_backend() get_max() get_min() get_values() is_binary() is_integer() is_real() linear_constraints_parent() linear_function() linear_functions_parent() new_variable() number_of_constraints() number_of_variables() polyhedron() remove_constraint() remove_constraints() set_binary() set_integer() set_max() set_min() set_objective() set_problem_name() set_real() show() solve() solver_parameter() sum() write_lp() write_mps() Adds a constraint to the MixedIntegerLinearProgram Return the base ring Returns a list of constraints, as 3-tuples Returns the backend instance used Returns the maximum value of a variable Returns the minimum value of a variable Return values found by the previous call to solve() Tests whether the variable e is binary Tests whether the variable is an integer Tests whether the variable is real Return the parent for all linear constraints Construct a new linear function Return the parent for all linear functions Returns an instance of MIPVariable associated Returns the number of constraints assigned so far Returns the number of variables used so far Returns the polyhedron defined by the Linear Program Removes a constraint from self Remove several constraints Sets a variable or a MIPVariable as binary Sets a variable or a MIPVariable as integer Sets the maximum value of a variable Sets the minimum value of a variable Sets the objective of the MixedIntegerLinearProgram Sets the name of the MixedIntegerLinearProgram Sets a variable or a MIPVariable as real Displays the MixedIntegerLinearProgram in a human-readable Solves the MixedIntegerLinearProgram Return or define a solver parameter Efficiently computes the sum of a sequence of LinearFunction elements Write the linear program as a LP file Write the linear program as a MPS file 2.2 Classes and methods exception sage.numerical.mip.MIPSolverException(value) Bases: exceptions.RuntimeError Exception raised when the solver fails. class sage.numerical.mip.MIPVariable Bases: sage.structure.sage_object.SageObject MIPVariable is a variable used by the class MixedIntegerLinearProgram. depth() Returns the current variable’s depth. 2.2. Classes and methods 11
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CHAPTER SIX INDICES AND TABLES •
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BIBLIOGRAPHY [HPS08] J. Hoffstein,
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PYTHON MODULE INDEX n sage.numerica
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INDEX A add_col() (sage.numerical.b
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