Inheritance diagram for ortools.linear_solver.pywraplp.Solver:

Public Member Functions
	__init__ (self, name, problem_type)

	IsMip (self)

	Clear (self)

	NumVariables (self)

	variables (self)

	variable (self, index)

	LookupVariable (self, var_name)

	Var (self, lb, ub, integer, name)

	NumVar (self, lb, ub, name)

	IntVar (self, lb, ub, name)

	BoolVar (self, name)

	NumConstraints (self)

	constraints (self)

	constraint (self, index)

	LookupConstraint (self, constraint_name)

	Constraint (self, *args)

	Objective (self)

	Solve (self, *args)

	Write (self, file_name)

	ComputeConstraintActivities (self)

	VerifySolution (self, tolerance, log_errors)

	InterruptSolve (self)

	FillSolutionResponseProto (self, response)

	ExportModelToProto (self, output_model)

	SetSolverSpecificParametersAsString (self, parameters)

	EnableOutput (self)

	SuppressOutput (self)

	iterations (self)

	nodes (self)

	SolverVersion (self)

	ComputeExactConditionNumber (self)

	NextSolution (self)

	set_time_limit (self, time_limit_milliseconds)

	wall_time (self)

	LoadModelFromProto (self, input_model)

	LoadModelFromProtoKeepNames (self, input_model)

	LoadModelFromProtoWithUniqueNamesOrDie (self, input_model)

	LoadSolutionFromProto (self, *args)

	ExportModelAsLpFormat (self, obfuscated)

	ExportModelAsMpsFormat (self, fixed_format, obfuscated)

	SetHint (self, variables, values)

	SetNumThreads (self, num_theads)

	Add (self, constraint, name='')

	Sum (self, expr_array)

	RowConstraint (self, *args)

	Minimize (self, expr)

	Maximize (self, expr)

	SetTimeLimit (self, x)

	WallTime (self)

	Iterations (self)

Static Public Member Functions
	CreateSolver (solver_id)

	SupportsProblemType (problem_type)

	SolveWithProto (model_request, response, interrupt=None)

	infinity ()

	Infinity ()

Static Public Attributes
	CLP_LINEAR_PROGRAMMING = _pywraplp.Solver_CLP_LINEAR_PROGRAMMING

	GLPK_LINEAR_PROGRAMMING = _pywraplp.Solver_GLPK_LINEAR_PROGRAMMING

	GLOP_LINEAR_PROGRAMMING = _pywraplp.Solver_GLOP_LINEAR_PROGRAMMING

	PDLP_LINEAR_PROGRAMMING = _pywraplp.Solver_PDLP_LINEAR_PROGRAMMING

	SCIP_MIXED_INTEGER_PROGRAMMING = _pywraplp.Solver_SCIP_MIXED_INTEGER_PROGRAMMING

	GLPK_MIXED_INTEGER_PROGRAMMING = _pywraplp.Solver_GLPK_MIXED_INTEGER_PROGRAMMING

	CBC_MIXED_INTEGER_PROGRAMMING = _pywraplp.Solver_CBC_MIXED_INTEGER_PROGRAMMING

	BOP_INTEGER_PROGRAMMING = _pywraplp.Solver_BOP_INTEGER_PROGRAMMING

	SAT_INTEGER_PROGRAMMING = _pywraplp.Solver_SAT_INTEGER_PROGRAMMING

	GUROBI_LINEAR_PROGRAMMING = _pywraplp.Solver_GUROBI_LINEAR_PROGRAMMING

	GUROBI_MIXED_INTEGER_PROGRAMMING = _pywraplp.Solver_GUROBI_MIXED_INTEGER_PROGRAMMING

	CPLEX_LINEAR_PROGRAMMING = _pywraplp.Solver_CPLEX_LINEAR_PROGRAMMING

	CPLEX_MIXED_INTEGER_PROGRAMMING = _pywraplp.Solver_CPLEX_MIXED_INTEGER_PROGRAMMING

	XPRESS_LINEAR_PROGRAMMING = _pywraplp.Solver_XPRESS_LINEAR_PROGRAMMING

	XPRESS_MIXED_INTEGER_PROGRAMMING = _pywraplp.Solver_XPRESS_MIXED_INTEGER_PROGRAMMING

	OPTIMAL = _pywraplp.Solver_OPTIMAL

	FEASIBLE = _pywraplp.Solver_FEASIBLE

	INFEASIBLE = _pywraplp.Solver_INFEASIBLE

	UNBOUNDED = _pywraplp.Solver_UNBOUNDED

	ABNORMAL = _pywraplp.Solver_ABNORMAL

	MODEL_INVALID = _pywraplp.Solver_MODEL_INVALID

	NOT_SOLVED = _pywraplp.Solver_NOT_SOLVED

	FREE = _pywraplp.Solver_FREE

	AT_LOWER_BOUND = _pywraplp.Solver_AT_LOWER_BOUND

	AT_UPPER_BOUND = _pywraplp.Solver_AT_UPPER_BOUND

	FIXED_VALUE = _pywraplp.Solver_FIXED_VALUE

	BASIC = _pywraplp.Solver_BASIC

Properties
	thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag")

Detailed Description

This mathematical programming (MP) solver class is the main class
though which users build and solve problems.

Definition at line 73 of file pywraplp.py.

Constructor & Destructor Documentation

◆ init()

ortools.linear_solver.pywraplp.Solver.__init__	(	self,
		name,
		problem_type )

 Create a solver with the given name and underlying solver backend.

Definition at line 97 of file pywraplp.py.

Member Function Documentation

◆ Add()

ortools.linear_solver.pywraplp.Solver.Add	(	self,
		constraint,
		name = '' )

Definition at line 498 of file pywraplp.py.

◆ BoolVar()

ortools.linear_solver.pywraplp.Solver.BoolVar	(		self,
			name )

 Creates a boolean variable.

Definition at line 194 of file pywraplp.py.

◆ Clear()

ortools.linear_solver.pywraplp.Solver.Clear ( self )

    Clears the objective (including the optimization direction), all variables
    and constraints. All the other properties of the MPSolver (like the time
    limit) are kept untouched.

Definition at line 145 of file pywraplp.py.

◆ ComputeConstraintActivities()

ortools.linear_solver.pywraplp.Solver.ComputeConstraintActivities ( self )

    Advanced usage: compute the "activities" of all constraints, which are the
    sums of their linear terms. The activities are returned in the same order
    as constraints(), which is the order in which constraints were added; but
    you can also use MPConstraint::index() to get a constraint's index.

Definition at line 290 of file pywraplp.py.

◆ ComputeExactConditionNumber()

ortools.linear_solver.pywraplp.Solver.ComputeExactConditionNumber ( self )

     Advanced usage: computes the exact condition number of the current scaled
    basis: L1norm(B) * L1norm(inverse(B)), where B is the scaled basis.

    This method requires that a basis exists: it should be called after Solve.
    It is only available for continuous problems. It is implemented for GLPK
    but not CLP because CLP does not provide the API for doing it.

    The condition number measures how well the constraint matrix is conditioned
    and can be used to predict whether numerical issues will arise during the
    solve: the model is declared infeasible whereas it is feasible (or
    vice-versa), the solution obtained is not optimal or violates some
    constraints, the resolution is slow because of repeated singularities.

    The rule of thumb to interpret the condition number kappa is:
      - o kappa <= 1e7: virtually no chance of numerical issues
      - o 1e7 < kappa <= 1e10: small chance of numerical issues
      - o 1e10 < kappa <= 1e13: medium chance of numerical issues
      - o kappa > 1e13: high chance of numerical issues

    The computation of the condition number depends on the quality of the LU
    decomposition, so it is not very accurate when the matrix is ill
    conditioned.

Definition at line 410 of file pywraplp.py.

◆ Constraint()

ortools.linear_solver.pywraplp.Solver.Constraint	(		self,
		*	args )

    *Overload 1:*

    Creates a linear constraint with given bounds.

    Bounds can be finite or +/- MPSolver::infinity(). The MPSolver class
    assumes ownership of the constraint.

    :rtype: :py:class:`MPConstraint`
    :return: a pointer to the newly created constraint.

    |

    *Overload 2:*
     Creates a constraint with -infinity and +infinity bounds.

    |

    *Overload 3:*
     Creates a named constraint with given bounds.

    |

    *Overload 4:*
     Creates a named constraint with -infinity and +infinity bounds.

Definition at line 224 of file pywraplp.py.

◆ constraint()

ortools.linear_solver.pywraplp.Solver.constraint	(		self,
			index )

 Returns the constraint at the given index.

Definition at line 210 of file pywraplp.py.

◆ constraints()

ortools.linear_solver.pywraplp.Solver.constraints ( self )

    Returns the array of constraints handled by the MPSolver.

    They are listed in the order in which they were created.

Definition at line 202 of file pywraplp.py.

◆ CreateSolver()

ortools.linear_solver.pywraplp.Solver.CreateSolver ( solver_id )

static

    Recommended factory method to create a MPSolver instance, especially in
    non C++ languages.

    It returns a newly created solver instance if successful, or a nullptr
    otherwise. This can occur if the relevant interface is not linked in, or if
    a needed license is not accessible for commercial solvers.

    Ownership of the solver is passed on to the caller of this method.
    It will accept both string names of the OptimizationProblemType enum, as
    well as a short version (i.e. "SCIP_MIXED_INTEGER_PROGRAMMING" or "SCIP").

    solver_id is case insensitive, and the following names are supported:
      - CLP_LINEAR_PROGRAMMING or CLP
      - CBC_MIXED_INTEGER_PROGRAMMING or CBC
      - GLOP_LINEAR_PROGRAMMING or GLOP
      - BOP_INTEGER_PROGRAMMING or BOP
      - SAT_INTEGER_PROGRAMMING or SAT or CP_SAT
      - SCIP_MIXED_INTEGER_PROGRAMMING or SCIP
      - GUROBI_LINEAR_PROGRAMMING or GUROBI_LP
      - GUROBI_MIXED_INTEGER_PROGRAMMING or GUROBI or GUROBI_MIP
      - CPLEX_LINEAR_PROGRAMMING or CPLEX_LP
      - CPLEX_MIXED_INTEGER_PROGRAMMING or CPLEX or CPLEX_MIP
      - XPRESS_LINEAR_PROGRAMMING or XPRESS_LP
      - XPRESS_MIXED_INTEGER_PROGRAMMING or XPRESS or XPRESS_MIP
      - GLPK_LINEAR_PROGRAMMING or GLPK_LP
      - GLPK_MIXED_INTEGER_PROGRAMMING or GLPK or GLPK_MIP

Definition at line 103 of file pywraplp.py.

◆ EnableOutput()

ortools.linear_solver.pywraplp.Solver.EnableOutput ( self )

 Enables solver logging.

Definition at line 386 of file pywraplp.py.

◆ ExportModelAsLpFormat()

ortools.linear_solver.pywraplp.Solver.ExportModelAsLpFormat	(		self,
			obfuscated )

Definition at line 472 of file pywraplp.py.

◆ ExportModelAsMpsFormat()

ortools.linear_solver.pywraplp.Solver.ExportModelAsMpsFormat	(	self,
		fixed_format,
		obfuscated )

Definition at line 475 of file pywraplp.py.

◆ ExportModelToProto()

ortools.linear_solver.pywraplp.Solver.ExportModelToProto	(		self,
			output_model )

 Exports model to protocol buffer.

Definition at line 359 of file pywraplp.py.

◆ FillSolutionResponseProto()

ortools.linear_solver.pywraplp.Solver.FillSolutionResponseProto	(		self,
			response )

 Encodes the current solution in a solution response protocol buffer.

Definition at line 333 of file pywraplp.py.

◆ Infinity()

ortools.linear_solver.pywraplp.Solver.Infinity ( )

static

Definition at line 540 of file pywraplp.py.

◆ infinity()

ortools.linear_solver.pywraplp.Solver.infinity ( )

static

    Infinity.

    You can use -MPSolver::infinity() for negative infinity.

Definition at line 378 of file pywraplp.py.

◆ InterruptSolve()

ortools.linear_solver.pywraplp.Solver.InterruptSolve ( self )

     Interrupts the Solve() execution to terminate processing if possible.

    If the underlying interface supports interruption; it does that and returns
    true regardless of whether there's an ongoing Solve() or not. The Solve()
    call may still linger for a while depending on the conditions.  If
    interruption is not supported; returns false and does nothing.
    MPSolver::SolverTypeSupportsInterruption can be used to check if
    interruption is supported for a given solver type.

Definition at line 320 of file pywraplp.py.

◆ IntVar()

ortools.linear_solver.pywraplp.Solver.IntVar	(	self,
		lb,
		ub,
		name )

 Creates an integer variable.

Definition at line 190 of file pywraplp.py.

◆ IsMip()

ortools.linear_solver.pywraplp.Solver.IsMip ( self )

Definition at line 142 of file pywraplp.py.

◆ Iterations()

ortools.linear_solver.pywraplp.Solver.Iterations ( self )

Definition at line 549 of file pywraplp.py.

◆ iterations()

ortools.linear_solver.pywraplp.Solver.iterations ( self )

 Returns the number of simplex iterations.

Definition at line 394 of file pywraplp.py.

◆ LoadModelFromProto()

ortools.linear_solver.pywraplp.Solver.LoadModelFromProto	(		self,
			input_model )

Definition at line 460 of file pywraplp.py.

◆ LoadModelFromProtoKeepNames()

ortools.linear_solver.pywraplp.Solver.LoadModelFromProtoKeepNames	(		self,
			input_model )

Definition at line 463 of file pywraplp.py.

◆ LoadModelFromProtoWithUniqueNamesOrDie()

ortools.linear_solver.pywraplp.Solver.LoadModelFromProtoWithUniqueNamesOrDie	(		self,
			input_model )

Definition at line 466 of file pywraplp.py.

◆ LoadSolutionFromProto()

ortools.linear_solver.pywraplp.Solver.LoadSolutionFromProto	(		self,
		*	args )

Definition at line 469 of file pywraplp.py.

◆ LookupConstraint()

ortools.linear_solver.pywraplp.Solver.LookupConstraint	(		self,
			constraint_name )

     Looks up a constraint by name, and returns nullptr if it does not exist.

    The first call has a O(n) complexity, as the constraint name index is
    lazily created upon first use. Will crash if constraint names are not
    unique.

Definition at line 214 of file pywraplp.py.

◆ LookupVariable()

ortools.linear_solver.pywraplp.Solver.LookupVariable	(		self,
			var_name )

    Looks up a variable by name, and returns nullptr if it does not exist. The
    first call has a O(n) complexity, as the variable name index is lazily
    created upon first use. Will crash if variable names are not unique.

Definition at line 168 of file pywraplp.py.

◆ Maximize()

ortools.linear_solver.pywraplp.Solver.Maximize	(		self,
			expr )

Definition at line 526 of file pywraplp.py.

◆ Minimize()

ortools.linear_solver.pywraplp.Solver.Minimize	(		self,
			expr )

Definition at line 514 of file pywraplp.py.

◆ NextSolution()

ortools.linear_solver.pywraplp.Solver.NextSolution ( self )

    Some solvers (MIP only, not LP) can produce multiple solutions to the
    problem. Returns true when another solution is available, and updates the
    MPVariable* objects to make the new solution queryable. Call only after
    calling solve.

    The optimality properties of the additional solutions found, and whether or
    not the solver computes them ahead of time or when NextSolution() is called
    is solver specific.

    As of 2020-02-10, only Gurobi and SCIP support NextSolution(), see
    linear_solver_interfaces_test for an example of how to configure these
    solvers for multiple solutions. Other solvers return false unconditionally.

Definition at line 437 of file pywraplp.py.

◆ nodes()

ortools.linear_solver.pywraplp.Solver.nodes ( self )

    Returns the number of branch-and-bound nodes evaluated during the solve.

    Only available for discrete problems.

Definition at line 398 of file pywraplp.py.

◆ NumConstraints()

ortools.linear_solver.pywraplp.Solver.NumConstraints ( self )

 Returns the number of constraints.

Definition at line 198 of file pywraplp.py.

◆ NumVar()

ortools.linear_solver.pywraplp.Solver.NumVar	(	self,
		lb,
		ub,
		name )

 Creates a continuous variable.

Definition at line 186 of file pywraplp.py.

◆ NumVariables()

ortools.linear_solver.pywraplp.Solver.NumVariables ( self )

 Returns the number of variables.

Definition at line 153 of file pywraplp.py.

◆ Objective()

ortools.linear_solver.pywraplp.Solver.Objective ( self )

 Returns the mutable objective object.

Definition at line 253 of file pywraplp.py.

◆ RowConstraint()

ortools.linear_solver.pywraplp.Solver.RowConstraint	(		self,
		*	args )

Definition at line 511 of file pywraplp.py.

◆ set_time_limit()

ortools.linear_solver.pywraplp.Solver.set_time_limit	(		self,
			time_limit_milliseconds )

Definition at line 454 of file pywraplp.py.

◆ SetHint()

ortools.linear_solver.pywraplp.Solver.SetHint	(	self,
		variables,
		values )

    Set a hint for solution.

    If a feasible or almost-feasible solution to the problem is already known,
    it may be helpful to pass it to the solver so that it can be used. A
    solver that supports this feature will try to use this information to
    create its initial feasible solution.

    Note that it may not always be faster to give a hint like this to the
    solver. There is also no guarantee that the solver will use this hint or
    try to return a solution "close" to this assignment in case of multiple
    optimal solutions.

Definition at line 478 of file pywraplp.py.

◆ SetNumThreads()

ortools.linear_solver.pywraplp.Solver.SetNumThreads	(		self,
			num_theads )

 Sets the number of threads to be used by the solver.

Definition at line 494 of file pywraplp.py.

◆ SetSolverSpecificParametersAsString()

ortools.linear_solver.pywraplp.Solver.SetSolverSpecificParametersAsString	(		self,
			parameters )

    Advanced usage: pass solver specific parameters in text format.

    The format is solver-specific and is the same as the corresponding solver
    configuration file format. Returns true if the operation was successful.

Definition at line 363 of file pywraplp.py.

◆ SetTimeLimit()

ortools.linear_solver.pywraplp.Solver.SetTimeLimit	(		self,
			x )

Definition at line 543 of file pywraplp.py.

◆ Solve()

ortools.linear_solver.pywraplp.Solver.Solve	(		self,
		*	args )

    *Overload 1:*
    Solves the problem using the default parameter values.

    |

    *Overload 2:*
    Solves the problem using the specified parameter values.

Definition at line 271 of file pywraplp.py.

◆ SolverVersion()

ortools.linear_solver.pywraplp.Solver.SolverVersion ( self )

 Returns a string describing the underlying solver and its version.

Definition at line 406 of file pywraplp.py.

◆ SolveWithProto()

ortools.linear_solver.pywraplp.Solver.SolveWithProto	(	model_request,
		response,
		interrupt = None )

static

    Solves the model encoded by a MPModelRequest protocol buffer and fills the
    solution encoded as a MPSolutionResponse. The solve is stopped prematurely
    if interrupt is non-null at set to true during (or before) solving.
    Interruption is only supported if SolverTypeSupportsInterruption() returns
    true for the requested solver. Passing a non-null interruption with any
    other solver type immediately returns an MPSOLVER_INCOMPATIBLE_OPTIONS
    error.

    `interrupt` is non-const because the internal solver may set it to true
    itself, in some cases.

    Note(user): This attempts to first use `DirectlySolveProto()` (if
    implemented). Consequently, this most likely does *not* override any of
    the default parameters of the underlying solver. This behavior *differs*
    from `MPSolver::Solve()` which by default sets the feasibility tolerance
    and the gap limit (as of 2020/02/11, to 1e-7 and 0.0001, respectively).

Definition at line 338 of file pywraplp.py.

◆ Sum()

ortools.linear_solver.pywraplp.Solver.Sum	(		self,
			expr_array )

Definition at line 507 of file pywraplp.py.

◆ SupportsProblemType()

ortools.linear_solver.pywraplp.Solver.SupportsProblemType ( problem_type )

static

    Whether the given problem type is supported (this will depend on the
    targets that you linked).

Definition at line 135 of file pywraplp.py.

◆ SuppressOutput()

ortools.linear_solver.pywraplp.Solver.SuppressOutput ( self )

 Suppresses solver logging.

Definition at line 390 of file pywraplp.py.

◆ Var()

ortools.linear_solver.pywraplp.Solver.Var	(	self,
		lb,
		ub,
		integer,
		name )

    Creates a variable with the given bounds, integrality requirement and
    name. Bounds can be finite or +/- MPSolver::infinity(). The MPSolver owns
    the variable (i.e. the returned pointer is borrowed). Variable names are
    optional. If you give an empty name, name() will auto-generate one for you
    upon request.

Definition at line 176 of file pywraplp.py.

◆ variable()

ortools.linear_solver.pywraplp.Solver.variable	(		self,
			index )

Returns the variable at position index.

Definition at line 164 of file pywraplp.py.

◆ variables()

ortools.linear_solver.pywraplp.Solver.variables ( self )

    Returns the array of variables handled by the MPSolver. (They are listed in
    the order in which they were created.)

Definition at line 157 of file pywraplp.py.

◆ VerifySolution()

ortools.linear_solver.pywraplp.Solver.VerifySolution	(	self,
		tolerance,
		log_errors )

    Advanced usage: Verifies the *correctness* of the solution.

    It verifies that all variables must be within their domains, all
    constraints must be satisfied, and the reported objective value must be
    accurate.

    Usage:
    - This can only be called after Solve() was called.
    - "tolerance" is interpreted as an absolute error threshold.
    - For the objective value only, if the absolute error is too large,
      the tolerance is interpreted as a relative error threshold instead.
    - If "log_errors" is true, every single violation will be logged.
    - If "tolerance" is negative, it will be set to infinity().

    Most users should just set the --verify_solution flag and not bother using
    this method directly.

Definition at line 299 of file pywraplp.py.

◆ wall_time()

ortools.linear_solver.pywraplp.Solver.wall_time ( self )

Definition at line 457 of file pywraplp.py.

◆ WallTime()

ortools.linear_solver.pywraplp.Solver.WallTime ( self )

Definition at line 546 of file pywraplp.py.

◆ Write()

ortools.linear_solver.pywraplp.Solver.Write	(		self,
			file_name )

    Writes the model using the solver internal write function.  Currently only
    available for Gurobi.

Definition at line 283 of file pywraplp.py.

Member Data Documentation

◆ ABNORMAL

ortools.linear_solver.pywraplp.Solver.ABNORMAL = _pywraplp.Solver_ABNORMAL

static

Definition at line 264 of file pywraplp.py.

◆ AT_LOWER_BOUND

ortools.linear_solver.pywraplp.Solver.AT_LOWER_BOUND = _pywraplp.Solver_AT_LOWER_BOUND

static

Definition at line 372 of file pywraplp.py.

◆ AT_UPPER_BOUND

ortools.linear_solver.pywraplp.Solver.AT_UPPER_BOUND = _pywraplp.Solver_AT_UPPER_BOUND

static

Definition at line 373 of file pywraplp.py.

◆ BASIC

ortools.linear_solver.pywraplp.Solver.BASIC = _pywraplp.Solver_BASIC

static

Definition at line 375 of file pywraplp.py.

◆ BOP_INTEGER_PROGRAMMING

ortools.linear_solver.pywraplp.Solver.BOP_INTEGER_PROGRAMMING = _pywraplp.Solver_BOP_INTEGER_PROGRAMMING

static

Definition at line 88 of file pywraplp.py.

◆ CBC_MIXED_INTEGER_PROGRAMMING

ortools.linear_solver.pywraplp.Solver.CBC_MIXED_INTEGER_PROGRAMMING = _pywraplp.Solver_CBC_MIXED_INTEGER_PROGRAMMING

static

Definition at line 87 of file pywraplp.py.

◆ CLP_LINEAR_PROGRAMMING

ortools.linear_solver.pywraplp.Solver.CLP_LINEAR_PROGRAMMING = _pywraplp.Solver_CLP_LINEAR_PROGRAMMING

static

Definition at line 81 of file pywraplp.py.

◆ CPLEX_LINEAR_PROGRAMMING

ortools.linear_solver.pywraplp.Solver.CPLEX_LINEAR_PROGRAMMING = _pywraplp.Solver_CPLEX_LINEAR_PROGRAMMING

static

Definition at line 92 of file pywraplp.py.

◆ CPLEX_MIXED_INTEGER_PROGRAMMING

ortools.linear_solver.pywraplp.Solver.CPLEX_MIXED_INTEGER_PROGRAMMING = _pywraplp.Solver_CPLEX_MIXED_INTEGER_PROGRAMMING

static

Definition at line 93 of file pywraplp.py.

◆ FEASIBLE

ortools.linear_solver.pywraplp.Solver.FEASIBLE = _pywraplp.Solver_FEASIBLE

static

Definition at line 258 of file pywraplp.py.

◆ FIXED_VALUE

ortools.linear_solver.pywraplp.Solver.FIXED_VALUE = _pywraplp.Solver_FIXED_VALUE

static

Definition at line 374 of file pywraplp.py.

◆ FREE

ortools.linear_solver.pywraplp.Solver.FREE = _pywraplp.Solver_FREE

static

Definition at line 371 of file pywraplp.py.

◆ GLOP_LINEAR_PROGRAMMING

ortools.linear_solver.pywraplp.Solver.GLOP_LINEAR_PROGRAMMING = _pywraplp.Solver_GLOP_LINEAR_PROGRAMMING

static

Definition at line 83 of file pywraplp.py.

◆ GLPK_LINEAR_PROGRAMMING

ortools.linear_solver.pywraplp.Solver.GLPK_LINEAR_PROGRAMMING = _pywraplp.Solver_GLPK_LINEAR_PROGRAMMING

static

Definition at line 82 of file pywraplp.py.

◆ GLPK_MIXED_INTEGER_PROGRAMMING

ortools.linear_solver.pywraplp.Solver.GLPK_MIXED_INTEGER_PROGRAMMING = _pywraplp.Solver_GLPK_MIXED_INTEGER_PROGRAMMING

static

Definition at line 86 of file pywraplp.py.

◆ GUROBI_LINEAR_PROGRAMMING

ortools.linear_solver.pywraplp.Solver.GUROBI_LINEAR_PROGRAMMING = _pywraplp.Solver_GUROBI_LINEAR_PROGRAMMING

static

Definition at line 90 of file pywraplp.py.

◆ GUROBI_MIXED_INTEGER_PROGRAMMING

ortools.linear_solver.pywraplp.Solver.GUROBI_MIXED_INTEGER_PROGRAMMING = _pywraplp.Solver_GUROBI_MIXED_INTEGER_PROGRAMMING

static

Definition at line 91 of file pywraplp.py.

◆ INFEASIBLE

ortools.linear_solver.pywraplp.Solver.INFEASIBLE = _pywraplp.Solver_INFEASIBLE

static

Definition at line 260 of file pywraplp.py.

◆ MODEL_INVALID

ortools.linear_solver.pywraplp.Solver.MODEL_INVALID = _pywraplp.Solver_MODEL_INVALID

static

Definition at line 266 of file pywraplp.py.

◆ NOT_SOLVED

ortools.linear_solver.pywraplp.Solver.NOT_SOLVED = _pywraplp.Solver_NOT_SOLVED

static

Definition at line 268 of file pywraplp.py.

◆ OPTIMAL

ortools.linear_solver.pywraplp.Solver.OPTIMAL = _pywraplp.Solver_OPTIMAL

static

Definition at line 256 of file pywraplp.py.

◆ PDLP_LINEAR_PROGRAMMING

ortools.linear_solver.pywraplp.Solver.PDLP_LINEAR_PROGRAMMING = _pywraplp.Solver_PDLP_LINEAR_PROGRAMMING

static

Definition at line 84 of file pywraplp.py.

◆ SAT_INTEGER_PROGRAMMING

ortools.linear_solver.pywraplp.Solver.SAT_INTEGER_PROGRAMMING = _pywraplp.Solver_SAT_INTEGER_PROGRAMMING

static

Definition at line 89 of file pywraplp.py.

◆ SCIP_MIXED_INTEGER_PROGRAMMING

ortools.linear_solver.pywraplp.Solver.SCIP_MIXED_INTEGER_PROGRAMMING = _pywraplp.Solver_SCIP_MIXED_INTEGER_PROGRAMMING

static

Definition at line 85 of file pywraplp.py.

◆ UNBOUNDED

ortools.linear_solver.pywraplp.Solver.UNBOUNDED = _pywraplp.Solver_UNBOUNDED

static

Definition at line 262 of file pywraplp.py.

◆ XPRESS_LINEAR_PROGRAMMING

ortools.linear_solver.pywraplp.Solver.XPRESS_LINEAR_PROGRAMMING = _pywraplp.Solver_XPRESS_LINEAR_PROGRAMMING

static

Definition at line 94 of file pywraplp.py.

◆ XPRESS_MIXED_INTEGER_PROGRAMMING

ortools.linear_solver.pywraplp.Solver.XPRESS_MIXED_INTEGER_PROGRAMMING = _pywraplp.Solver_XPRESS_MIXED_INTEGER_PROGRAMMING

static

Definition at line 95 of file pywraplp.py.

Property Documentation

◆ thisown

ortools.linear_solver.pywraplp.Solver.thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag")

static

Definition at line 79 of file pywraplp.py.

The documentation for this class was generated from the following file:

build/python/ortools/linear_solver/pywraplp.py

Public Member Functions

Static Public Member Functions

Static Public Attributes

Properties

Detailed Description

Constructor & Destructor Documentation

◆ __init__()

Member Function Documentation

◆ Add()

◆ BoolVar()

◆ Clear()

◆ ComputeConstraintActivities()

◆ ComputeExactConditionNumber()

◆ Constraint()

◆ constraint()

◆ constraints()

◆ CreateSolver()

◆ EnableOutput()

◆ ExportModelAsLpFormat()

◆ ExportModelAsMpsFormat()

◆ ExportModelToProto()

◆ FillSolutionResponseProto()

◆ Infinity()

◆ infinity()

◆ InterruptSolve()

◆ IntVar()

◆ IsMip()

◆ Iterations()

◆ iterations()

◆ LoadModelFromProto()

◆ LoadModelFromProtoKeepNames()

◆ LoadModelFromProtoWithUniqueNamesOrDie()

◆ LoadSolutionFromProto()

◆ LookupConstraint()

◆ LookupVariable()

◆ Maximize()

◆ Minimize()

◆ NextSolution()

◆ nodes()

◆ NumConstraints()

◆ NumVar()

◆ NumVariables()

◆ Objective()

◆ RowConstraint()

◆ set_time_limit()

◆ SetHint()

◆ SetNumThreads()

◆ SetSolverSpecificParametersAsString()

◆ SetTimeLimit()

◆ Solve()

◆ SolverVersion()

◆ SolveWithProto()

◆ Sum()

◆ SupportsProblemType()

◆ SuppressOutput()

◆ Var()

◆ variable()

◆ variables()

◆ VerifySolution()

◆ wall_time()

◆ WallTime()

◆ Write()

Member Data Documentation

◆ ABNORMAL

◆ AT_LOWER_BOUND

◆ AT_UPPER_BOUND

◆ BASIC

◆ BOP_INTEGER_PROGRAMMING

◆ CBC_MIXED_INTEGER_PROGRAMMING

◆ CLP_LINEAR_PROGRAMMING

◆ CPLEX_LINEAR_PROGRAMMING

◆ CPLEX_MIXED_INTEGER_PROGRAMMING

◆ FEASIBLE

◆ FIXED_VALUE

◆ FREE

◆ GLOP_LINEAR_PROGRAMMING

◆ GLPK_LINEAR_PROGRAMMING

◆ GLPK_MIXED_INTEGER_PROGRAMMING

◆ GUROBI_LINEAR_PROGRAMMING

◆ GUROBI_MIXED_INTEGER_PROGRAMMING

◆ init()