Optimization Service

Optimization

The linear optimization service, used to model and solve linear and mixed-integer linear programs.

Classes

Name	Brief description
`Linear Optimization Constraint`	Object storing a linear constraint of the form `lower Bound ≤ Sum(a(i) x(i)) ≤ upperBound` where `lower Bound` and `upper Bound` are constants, `a(i)` are constant coefficients and `x(i)` are variables (unknowns).
`Linear Optimization Engine`	The engine used to model and solve a linear program.
`Linear Optimization Service`	The linear optimization service, used to model and solve linear and mixed-integer linear programs.
`Linear Optimization Solution`	The solution of a linear program.
`Status`	Status of the solution.
`Variable Type`	Type of variables created by the engine.

`Linear Optimization Constraint`

Methods

Method	Return type	Brief description
`set Coefficient(variableName, coefficient)`	`Linear Optimization Constraint`	Sets the coefficient of a variable in the constraint.

`Linear Optimization Engine`

Methods

Method	Return type	Brief description
`add Constraint(lowerBound, upperBound)`	`Linear Optimization Constraint`	Adds a new linear constraint in the model.
`add Constraints(lowerBounds, upperBounds, variableNames, coefficients)`	`Linear Optimization Engine`	Adds constraints in batch to the model.
`add Variable(name, lowerBound, upperBound)`	`Linear Optimization Engine`	Adds a new continuous variable to the model.
`add Variable(name, lowerBound, upperBound, type)`	`Linear Optimization Engine`	Adds a new variable to the model.
`add Variable(name, lowerBound, upperBound, type, objectiveCoefficient)`	`Linear Optimization Engine`	Adds a new variable to the model.
`add Variables(names, lowerBounds, upperBounds, types, objectiveCoefficients)`	`Linear Optimization Engine`	Adds variables in batch to the model.
`set Maximization()`	`Linear Optimization Engine`	Sets the optimization direction to maximizing the linear objective function.
`set Minimization()`	`Linear Optimization Engine`	Sets the optimization direction to minimizing the linear objective function.
`set Objective Coefficient(variableName, coefficient)`	`Linear Optimization Engine`	Sets the coefficient of a variable in the linear objective function.
`solve()`	`Linear Optimization Solution`	Solves the current linear program with the default deadline of 30 seconds.
`solve(seconds)`	`Linear Optimization Solution`	Solves the current linear program.

`Linear Optimization Service`

Properties

Property	Type	Description
`Status`	`Status`	Status of the solver.
`Variable Type`	`Variable Type`	Type of variables created by the solver.

Methods

Method	Return type	Brief description
`create Engine()`	`Linear Optimization Engine`	Creates an engine to to solve linear programs (potentially mixed-integer programs).

`Linear Optimization Solution`

Methods

Method	Return type	Brief description
`get Objective Value()`	`Number`	Gets the value of the objective function in the current solution.
`get Status()`	`Status`	Gets the status of the solution.
`get Variable Value(variableName)`	`Number`	Gets the value of a variable in the solution created by the last call to `Linear Optimization Engine.solve()` .
`is Valid()`	`Boolean`	Determines whether the solution is either feasible or optimal.

`Status`

Properties

Property	Type	Description
`OPTIMAL`	`Enum`	Status when an optimal solution has been found.
`FEASIBLE`	`Enum`	Status when a feasible (not necessarily optimal) solution has been found.
`INFEASIBLE`	`Enum`	Status when the current model is unfeasible (has no solution).
`UNBOUNDED`	`Enum`	Status when the current model is unbound.
`ABNORMAL`	`Enum`	Status when it failed to find a solution for unexpected reasons.
`MODEL_INVALID`	`Enum`	Status when the model is invalid.
`NOT_SOLVED`	`Enum`	Status when `Linear Optimization Engine.solve()` has not been called yet.

`Variable Type`

Properties

Property	Type	Description
`INTEGER`	`Enum`	Type of variable that can only take integer values.
`CONTINUOUS`	`Enum`	Type of variable that can take any real value.

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Last updated 2024-12-02 UTC.

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