Initializing help system before first use

# AddVariables Method

Overload List

| Name | Description
--- | --- | ---
| AddVariables(Int32) | Create an 1-dimensional array of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToArray() function. C#
    // Create a multi-dimensional array of binary variables
    Optimizer.Objects.Variable[ ] = prob.AddVariables(dim)
                          .WithType(Optimizer.Objects.ColumnType.Binary)
                          .ToArray();
See VariableBuilderVariableArrayBuilder for details of how to modify the specification in the builder.
| AddVariables(Int32, Int32) | Create an 2-dimensional array of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToArray() function. C#
    // Create a multi-dimensional array of binary variables
    Optimizer.Objects.Variable[ ,] = prob.AddVariables(dim1 ,dim2)
                          .WithType(Optimizer.Objects.ColumnType.Binary)
                          .ToArray();
See VariableBuilderVariableArray2Builder for details of how to modify the specification in the builder.
| AddVariables(Int32, Int32, Int32) | Create an 3-dimensional array of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToArray() function. C#
    // Create a multi-dimensional array of binary variables
    Optimizer.Objects.Variable[ , ,] = prob.AddVariables(dim1 ,dim2 ,dim3)
                          .WithType(Optimizer.Objects.ColumnType.Binary)
                          .ToArray();
See VariableBuilderVariableArray3Builder for details of how to modify the specification in the builder.
| AddVariables(Int32, Int32, Int32, Int32) | Create an 4-dimensional array of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToArray() function. C#
    // Create a multi-dimensional array of binary variables
    Optimizer.Objects.Variable[ , , ,] = prob.AddVariables(dim1 ,dim2 ,dim3 ,dim4)
                          .WithType(Optimizer.Objects.ColumnType.Binary)
                          .ToArray();
See VariableBuilderVariableArray4Builder for details of how to modify the specification in the builder.
| AddVariables(Int32, Int32, Int32, Int32, Int32) | Create an 5-dimensional array of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToArray() function. C#
    // Create a multi-dimensional array of binary variables
    Optimizer.Objects.Variable[ , , , ,] = prob.AddVariables(dim1 ,dim2 ,dim3 ,dim4 ,dim5)
                          .WithType(Optimizer.Objects.ColumnType.Binary)
                          .ToArray();
See VariableBuilderVariableArray5Builder for details of how to modify the specification in the builder.
| AddVariablesK1(K1) | Create an 1-dimensional map of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToMap() function. C#
    // Create a multi-dimensional array of binary columns
    System.Collections.Generic.Dictionary<K1 ,Optimizer.Objects.Variable> x = prob.AddVariables(COLL_PASS)
                                       .WithType(Optimizer.Objects.ColumnType.Binary)
                                       .ToMap();
See [!:Optimizer.VariableBuilder.VariableMapBuilder] for details of how to modify the specification in the builder.
| AddVariablesK1(IEnumerableK1) | Create an 1-dimensional map of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToMap() function. C#
    // Create a multi-dimensional map of binary variables
    System.Collections.Generic.Dictionary<K1 ,Optimizer.Objects.Variable> x = prob.AddVariables(iterable1 )
                                       .WithType(Optimizer.Objects.ColumnType.Binary)
                                       .ToMap();
See [!:Optimizer.VariableBuilder.VariableMapBuilder] for details of how to modify the specification in the builder.
| AddVariablesK1, K2(K1, K2) | Create an 2-dimensional map of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToMap() function. C#
    // Create a multi-dimensional array of binary columns
    Optimizer.Maps.HashMap2<K1 ,K2,Optimizer.Objects.Variable> x = prob.AddVariables(COLL_PASS)
                                       .WithType(Optimizer.Objects.ColumnType.Binary)
                                       .ToMap();
See [!:Optimizer.VariableBuilder.VariableMap2Builder] for details of how to modify the specification in the builder.
| AddVariablesK1, K2(IEnumerableK1, IEnumerableK2) | Create an 2-dimensional map of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToMap() function. C#
    // Create a multi-dimensional map of binary variables
    Optimizer.Maps.HashMap2<K1 ,K2,Optimizer.Objects.Variable> x = prob.AddVariables(iterable1 ,iterable2)
                                       .WithType(Optimizer.Objects.ColumnType.Binary)
                                       .ToMap();
See [!:Optimizer.VariableBuilder.VariableMap2Builder] for details of how to modify the specification in the builder.
| AddVariablesK1, K2, K3(K1, K2, K3) | Create an 3-dimensional map of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToMap() function. C#
    // Create a multi-dimensional array of binary columns
    Optimizer.Maps.HashMap3<K1 ,K2 ,K3,Optimizer.Objects.Variable> x = prob.AddVariables(COLL_PASS)
                                       .WithType(Optimizer.Objects.ColumnType.Binary)
                                       .ToMap();
See [!:Optimizer.VariableBuilder.VariableMap3Builder] for details of how to modify the specification in the builder.
| AddVariablesK1, K2, K3(IEnumerableK1, IEnumerableK2, IEnumerableK3) | Create an 3-dimensional map of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToMap() function. C#
    // Create a multi-dimensional map of binary variables
    Optimizer.Maps.HashMap3<K1 ,K2 ,K3,Optimizer.Objects.Variable> x = prob.AddVariables(iterable1 ,iterable2 ,iterable3)
                                       .WithType(Optimizer.Objects.ColumnType.Binary)
                                       .ToMap();
See [!:Optimizer.VariableBuilder.VariableMap3Builder] for details of how to modify the specification in the builder.
| AddVariablesK1, K2, K3, K4(K1, K2, K3, K4) | Create an 4-dimensional map of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToMap() function. C#
    // Create a multi-dimensional array of binary columns
    Optimizer.Maps.HashMap4<K1 ,K2 ,K3 ,K4,Optimizer.Objects.Variable> x = prob.AddVariables(COLL_PASS)
                                       .WithType(Optimizer.Objects.ColumnType.Binary)
                                       .ToMap();
See [!:Optimizer.VariableBuilder.VariableMap4Builder] for details of how to modify the specification in the builder.
| AddVariablesK1, K2, K3, K4(IEnumerableK1, IEnumerableK2, IEnumerableK3, IEnumerableK4) | Create an 4-dimensional map of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToMap() function. C#
    // Create a multi-dimensional map of binary variables
    Optimizer.Maps.HashMap4<K1 ,K2 ,K3 ,K4,Optimizer.Objects.Variable> x = prob.AddVariables(iterable1 ,iterable2 ,iterable3 ,iterable4)
                                       .WithType(Optimizer.Objects.ColumnType.Binary)
                                       .ToMap();
See [!:Optimizer.VariableBuilder.VariableMap4Builder] for details of how to modify the specification in the builder.
| AddVariablesK1, K2, K3, K4, K5(K1, K2, K3, K4, K5) | Create an 5-dimensional map of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToMap() function. C#
    // Create a multi-dimensional array of binary columns
    Optimizer.Maps.HashMap5<K1 ,K2 ,K3 ,K4 ,K5,Optimizer.Objects.Variable> x = prob.AddVariables(COLL_PASS)
                                       .WithType(Optimizer.Objects.ColumnType.Binary)
                                       .ToMap();
See [!:Optimizer.VariableBuilder.VariableMap5Builder] for details of how to modify the specification in the builder.
| AddVariablesK1, K2, K3, K4, K5(IEnumerableK1, IEnumerableK2, IEnumerableK3, IEnumerableK4, IEnumerableK5) | Create an 5-dimensional map of variables. This function returns a builder that generates variables according to a specification. The specification can be modified. In order to actually create the variables, you have to call the returned builder's ToMap() function. C#
    // Create a multi-dimensional map of binary variables
    Optimizer.Maps.HashMap5<K1 ,K2 ,K3 ,K4 ,K5,Optimizer.Objects.Variable> x = prob.AddVariables(iterable1 ,iterable2 ,iterable3 ,iterable4 ,iterable5)
                                       .WithType(Optimizer.Objects.ColumnType.Binary)
                                       .ToMap();
See [!:Optimizer.VariableBuilder.VariableMap5Builder] for details of how to modify the specification in the builder.

Top
See Also

#### Reference

XpressProblem Class
Optimizer.Objects Namespace
Covered Topics

- AddVariables(K1[]) Method
- AddVariables(IEnumerable) Method
- AddVariables(Int32) Method
- AddVariables(K1[], K2[]) Method
- AddVariables(IEnumerable, IEnumerable) Method
- AddVariables(Int32, Int32) Method
- AddVariables(K1[], K2[], K3[]) Method
- AddVariables(IEnumerable, IEnumerable, IEnumerable) Method
- AddVariables(Int32, Int32, Int32) Method
- AddVariables(K1[], K2[], K3[], K4[]) Method
- AddVariables(IEnumerable, IEnumerable, IEnumerable, IEnumerable) Method
- AddVariables(Int32, Int32, Int32, Int32) Method
- AddVariables(K1[], K2[], K3[], K4[], K5[]) Method
- AddVariables(IEnumerable, IEnumerable, IEnumerable, IEnumerable, IEnumerable) Method
- AddVariables(Int32, Int32, Int32, Int32, Int32) Method

Parent Topic XpressProblem Methods

© 2001-2026 Fair Isaac Corporation. All rights reserved. This documentation is the property of Fair Isaac Corporation (“FICO”). Receipt or possession of this documentation does not convey rights to disclose, reproduce, make derivative works, use, or allow others to use it except solely for internal evaluation purposes to determine whether to purchase a license to the software described in this documentation, or as otherwise set forth in a written software license agreement between you and FICO (or a FICO affiliate). Use of this documentation and the software described in it must conform strictly to the foregoing permitted uses, and no other use is permitted.