Constraint |
This class allows you to build objects, each of which represents a constraint for a linear
programming problem expressed in matrix notation
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ConsType |
Enumeration used to define the type of relationship in a Constraint object.
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EPSILON |
Enumeration for epsilon values ranging from 1E-16 to 1E-4.
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FormatTypeInput.FormatType |
Enumeration used to define the type of format utilized.
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GoalType |
This enumeration allows declaring the type of optimization sought on the
objective function: maximization or minimization.
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InternalConstraint |
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InternalConstraint.TYPE_CONSTR |
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JsonProblem |
The JsonProblem class represents a problem in JSON format that can be loaded
either from a file or a string.
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JsonSolution |
This class represents the solution of a Linear Programming (LP) problem in JSON format.
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LinearObjectiveFunction |
This class allows instantiating objects representing the objective function in linear
programming problems expressed in matrix notation.
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ListConstraints |
The ListConstraints class represents a collection of constraints for a Mixed Integer Linear Programming (MILP) problem.
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LP |
This class allows executing and solving formulations of linear programming problems.
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LPException |
This class represents an exception specific to Linear Programming (LP) operations.
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MILP |
This class allows executing and solving formulations of mixed integer linear programming problems,
binary or semicontinuous.
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Solution |
This interface allows accessing the values taken by the n variables of the optimal solution.
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SolutionConstraint |
This interface allows accessing a constraint of the LP problem where each unknown variable has been assigned
the optimal value.
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SolutionDetail |
Enumeration SolutionDetail defines optional parts of the solution that can be included
in the JSON output when solving a Linear Programming (LP) or Mixed-Integer Linear Programming (MILP) problem.
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SolutionType |
This enumeration defines the different types of results that the two-phase method returns.
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Variable |
This interface allows accessing the optimal value assumed by the j-th variable
of the LP problem (j=1..N).
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Variable.TYPE_VAR |
Defines the type of variable: integer, binary, or continuous.
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