Creates and returns the new expression abs(e).

Returns an expression representing the absolute value of its argument, the expression indicated by expr.

This method adds the extractable object to the invoking model.

This method adds the array of extractable objects to the invoking model.

This method adds modeling objects to the invoking IModel.

Creates and returns an instance of IRange initialized to represent the constraint val == expr and added to the invoking instance of IModel.

Creates and returns an instance of IConstraint initialized to represent the constraint e1 == e2, and added to the invoking instance of IModel.

Creates and returns an instance of IRange initialized to represent the constraint expr == rhs, and added to the invoking IModel.

Creates and returns an instance of IRange initialized to represent the constraint val == expr and added to the invoking instance of IModel.

Creates and returns an instance of IConstraint initialized to represent the constraint e1 == e2, and added to the invoking instance of IModel.

Creates and returns an instance of IRange initialized to represent the constraint expr == rhs, and added to the invoking instance of IModel.

Creates and returns an instance of IRange initialized to represent the constraint val >= expr and added to the invoking instance of IModel.

Creates and returns an instance of IConstraint initialized to represent the constraint e1 >= e2 and added to the invoking instance of IModel.

Creates and returns an instance of IRange initialized to represent the constraint expr >= rhs and added to the invoking instance of IModel.

Creates and returns an instance of IRange initialized to represent the constraint val >= expr and added to the invoking instance of IModel.

Creates and returns an instance of IConstraint initialized to represent the constraint e1 >= e2 and added to the invoking instance of IModel.

Creates and returns an instance of IRange initialized to represent the constraint expr >= rhs and added to the invoking instance of IModel.

Creates and returns an instance of IRange initialized to represent the constraint val <= expr and added to the invoking instance of IModel.

Creates and returns an instance of IConstraint initialized to represent the constraint e1 <= e2, and added to the invoking instance of IModel.

Creates and returns an instance of IRange initialized to represent the constraint expr <= rhs and added to the invoking instance of IModel.

Creates and returns an instance of IRange initialized to represent the constraint val <= expr and added to the invoking instance of IModel.

Creates and returns an instance of IConstraint initialized to represent the constraint e1 <= e2 and added to the invoking instance of IModel.

Creates and returns an instance of IRange initialized to represent the constraint expr <= rhs and added to the invoking instance of IModel.

Creates, returns, and adds to the invoking model an empty ILPMatrix object.

Creates, returns, and adds an empty ILPMatrix object, with the specified name, to the invoking model.

The new ILPMatrix object is initialized to 0 columns and 0 rows. It can be populated later using the ILPMatrix manipulation API. The new ILPMatrix object is added to the invoking IMPModeler model. The new ILPMatrix object is assigned name.

Creates and returns an empty maximization objective function.

Creates and returns an empty maximization objective function. This method creates and returns an IObjective object representing a maximization objective function with a zero expression. The new IObjective object is assigned name as its name and added to the invoking IModel. This method is typically used in an application that applies column-wise modeling to fill in the objective function while creating the variables.

Creates and returns an instance of IObjective representing an objective to maximize the expression expr and added to the invoking model.

Creates and returns an instance of IObjective, representing an objective to maximize the expression expr, assigned the name name, and added to the invoking model.

Creates and returns an empty minimization objective function.

Creates and returns an empty minimization objective function. This method creates and returns an IObjective object representing a minimization objective function with a zero expression. The new IObjective object is assigned the name name and added to the invoking IModel. This method is typically used in an application that applies column-wise modeling to fill in the objective function while creating the variables.

Creates and returns an instance of IObjective representing an objective to minimize the expression expr and added to the invoking model.

Creates and returns an instance of IObjective representing an objective to minimize the expression expr, assigned the name name, and added to the invoking model.

Creates, returns, and adds to the invoking model an empty objective function with the sense specified by sense.

This method creates and returns an IObjective object with a zero expression and the specified optimization sense. The new IObjective object is added to the invoking IModel. This method is typically used in an application that applies column-wise modeling to fill in the objective function while creating the variables.

Creates and returns an instance of IObjective representing an objective to optimize the expression expr with respect to the optimization sense indicated by sense and added to the invoking model.

Creates, returns, and adds to the invoking model an empty objective function with the name specified by name and with the sense specified by sense.

Creates and returns an instance of IObjective representing an objective to optimize the expression expr with respect to the optimization sense indicated by sense, assigned the name name, and added to the invoking model.

Creates, returns, and adds to the invoking model an empty IRange object.

Creates and returns an instance of IRange initialized to represent the constraint lb <= expr <= ub and added to the invoking instance of lb <= expr <= ub.

Creates, returns, and adds to the invoking model an empty IRange object with the name specified by name.

Creates and returns an instance of IRange initialized to represent the constraint lb <= expr <= ub and added to the invoking instance of IModel.

Creates an SOS of type 1 with the specified variables and weights and adds it to the invoking model.

Creates an SOS of type 1 with the specified variables, weights, and name, and adds the SOS to the invoking model.

Creates an SOS of type 1 with num of the specified variables and weights, starting from the index specified by start, and adds the SOS to the invoking IModel model.

Creates an SOS of type 1 with the num specified variables, weights, and names, starting from the index specified by start, and adds the SOS to the invoking mode.

Creates an SOS of type 2 with the specified variables and weights.

Creates an SOS of type 2 with the specified variables and weights, and assigns the new SOS its name.

Creates an SOS of type 2 with the num specified variables and weights, starting from the index specified by start.

Creates an SOS of type 2 with the num specified variables and weights, starting from the index specified by start, and assigns the new SOS its name.

Adds an expression term to the expression of the specified IObjective object.

Adds an expression term to the expression of the specified IRange object.

Creates an IAnd constraint suitable for grouping other constraints or building logical constraints. Constraints can be added and removed to the IAnd constraint by using its methods Add and Remove.

Groups several constraints together.

Group several constraints together.

Groups several constraints together.

Group several constraints together.

Groups several constraints together.

Groups several constraints together.

Creates and returns a new Boolean variable (domain 0,1).

Creates and returns a new Boolean variable (domain 0,1) with its name.

Creates a new Boolean (or binary) modeling variable for column-wise modeling.

Creates a new Boolean (or binary) modeling variable, with the specified name, for column-wise modeling.

Creates and returns an array of n new Boolean variables (domain 0,1).

Creates and returns an array of Boolean (or binary) modeling variables for column-wise modeling.

Creates and returns an array of n new Boolean variables (domain 0,1).

Creates a new Boolean (or binary) modeling variable, with the specified name, for column-wise modeling.

This method returns an object representing a new modeling variable of type INumVarType.Bool with the specified name. The newly created variable is then installed in existing modeling objects as defined by the IColumn argument column.

Creates an IColumn object suitable for adding a new variable to an LP matrix as an empty column. Note, that the column of the LP matrix is only created when creating a variable with the returned IColumn object but not when calling this method.

Creates an IColumn object suitable for adding a new variable to the objective obj as a linear term with coefficient val.

Creates an IColumn object suitable for adding a new variable to constraint rng as a linear term with coefficient val.

Creates an IColumn object suitable for adding a new variable to an LP matrix as a new column. Note, that the column of the LP matrix is only created when creating a variable with the returned IColumn object but not when calling this method.

Creates an IColumn object suitable for adding a new variable to an LP matrix as a new column. Note, that the column of the LP matrix is only created when creating a variable with the returned IColumn object but not when calling this method.

Creates an IColumnArray object suitable for adding new variables to an ILPMatrix as empty columns.

Creates an IColumn object suitable for adding a new variable to the objective obj as a linear term with coefficient val.

Creates an IColumn object suitable for adding a new variable to constraint rng as a linear term with coefficient val.

Creates an IColumn object suitable for adding a new variable to an LP matrix as a new column. Note, that the column of the LP matrix is only created when creating a variable with the returned IColumn object but not when calling this method.

Creates an IColumnArray object suitable for adding num new variables to the objective obj as linear terms with coefficients specified in val.

Creates an IColumnArray suitable for adding num new variables to constraint IRange as linear terms with coefficients specified in val.

Creates and returns an expression representing the constant term x.

Creates and returns a new constant expression equal to x.

Creates and returns an IConversion object for converting the type of a variable in a model.

Creates and returns an IConversion object for converting the type of the variables in array var in a model.

Creates and returns an IConversion object for converting the type of the variables in the array var in a model.

Creates and returns an IConversion object, with the specified name, for converting the type of a variable in a model.

Creates and returns an IConversion object with the specified type and name, for converting the type of the variables in array var in a model.

Creates and returns an IConversion object, with the specified name, for converting the type of the variables in array var in a model.

Deletes an object from a model.

After you call this method, the modeling object obj is no longer in the model. If the modeling object is referenced multiple times in a model (for example, a variable used by multiple constraints), then that object is removed from all places. In particular, when you delete a variable from a model, the variable is removed from all the other modeling objects in the model. Modeling objects that are variables are not of type IAddable. In fact, the type of the removed object is ICopyable, a common base interface of both IAddable and INumVar.

Deletes the modeling objects in an array obj from the invoking IModel. After you call this method, the deleted objects are no longer in the model. If a modeling object is referenced multiple times in a model (for example, a variable used by multiple constraints), the object is removed from all places. When you delete variables from a model, they are removed from all other modeling objects in the model.

Deletes the modeling objects in obj[start] through obj[start+num-1] from a model. Modeling objects obj[start] through obj[start+num-1] are deleted from the invoking instance of IModel. After you call this method, the deleted objects will no longer be in the model. If a modeling object is referenced multiple times in a model (for example, a variable used by multiple constraints), the object is removed from all places. Thus, when you delete variables from a model, they are removed from all other modeling objects in the model.

Creates and returns an expression representing the difference between the value v and the expression e1.

Creates and returns an integer expression representing the difference between the value v and the integer expression e1.

Creates and returns an integer expression representing the difference between the integer expressions expr1 and expr2.

Creates and returns an integer expression representing the difference between integer expression e and value v.

Creates and returns an expression representing the difference between the expressions e1 and e2.

Creates and returns an expression representing the difference between expression e and value v.

Creates and returns an instance of IRange initialized to represent the constraint val == expr.

Creates and returns an instance of IConstraint initialized to represent the constraint e1 == e2.

Creates and returns an instance of IRange initialized to represent the constraint expr == rhs.

Creates and returns an instance of IRange initialized to represent the constraint val == expr and assigned the name name.

Creates and returns an instance of IConstraint initialized to represent the constraint e1 == e2 and assigned the name name.

Creates and returns an instance of IRange initialized to represent the constraint expr == rhs and assigned the name name.

Creates and returns an instance of IRange initialized to represent the constraint val >= expr.

Creates and returns an IRange initialized to represent the constraint e1 >= e2.

Creates and returns an instance of IRange initialized to represent the constraint expr >= rhs.

Creates and returns an instance of IRange initialized to represent the constraint val >= expr and assigned the name name.

Creates and returns an instance of IConstraint initialized to represent the constraint e1 >= e2 and assigned the name name.

Creates and returns an instance of IRange initialized to represent the constraint expr >= rhs and assigned the name name.

This method returns an enumerator that traverses the objects in the model.

Returns a constraint that if con1 is true, then con2 must also be true.

Returns a constraint that if con1 is true, then con2 must also be true.

Creates and returns an empty expression as an object.

Creates and returns a new integer variable with the specified bounds.

Creates and returns a new integer variable with the specified bounds and a name.

Creates an integer modeling variable, with specified upper and lower bound, for column-wise modeling.

Creates an integer modeling variable with specified upper bound, lower bound, and name for column-wise modeling.

This method returns an object representing a new modeling variable of type INumVarType.Int with the specified bounds and name. The newly created variable is then installed in existing modeling objects as defined by the IColumn argument column.

Returns a new array of n integer variables with the specified bounds.

Creates an array of length n initialized to n new integer variables, each variable with its own bounds.

Creates and returns integer modeling variables, all with the same upper bound and with the same lower bound, for column-wise modeling.

This method creates new modeling variables of type INumVarType.Int, each with the same specified bounds, and returns them in an array. The number of new variables is determined by the size of the IColumnArray argument cols. The new variables are then installed in existing modeling objects as defined by the IColumnArray argument cols.

Creates and returns integer modeling variables, with individually specified upper bound, lower bound, and name, for column-wise modeling.

This method creates new modeling variables of type INumVarType.Int, each with its own bounds, and returns them in an array. The number of new variables is determined by the size of the IColumnArray argument cols. Variable i is constructed with bounds lb[i] and ub[i]. The new variables are installed in existing modeling objects as defined by the cols argument.

Creates an array of length n initialized to n new modeling integer variables, each with the same specified bounds and returns them in an array.

Creates an array of length n initialized to n new integer variables, each variable with its own bounds.

Creates and returns integer modeling variables, all with the same specified upper bound and lower bound, with individually specified names, for column-wise modeling.

This method creates new modeling variables of type INumVarType.Int, each with the same specified bounds, and returns them in an array. The number of new variables is determined by the size of the IColumnArray argument cols. Each new variable is assigned a separate name, with variable i being assigned name[i]. The new variables are then installed in existing modeling objects as defined by the IColumnArray argument cols.

Creates and returns integer modeling variables, each with individually specified upper bound, lower bound, and name, for column-wise modeling.

This method creates new modeling variables of type INumVarType.Int, each with its own bounds, and returns them in an array. The number of new variables is determined by the size of the IColumnArray argument cols. Variable i is constructed with bounds lb[i] and ub[i] and is assigned name[i]. The new variables are installed in existing modeling objects as defined by the cols argument.

Creates and returns an instance of IRange initialized to represent the constraint val <= expr.

Creates and returns an instance of IConstraint initialized to represent the constraint e1 <= e2.

Creates and returns an instance of IRange initialized to represent the constraint expr <= rhs.

Creates and returns an instance of IRange initialized to represent the constraint val <= expr and assigned the name name.

Creates and returns an instance of IConstraint initialized to represent the constraint e1 <= e2 and assigned the name name.

Creates and returns an instance of IRange initialized to represent the constraint expr <= rhs and assigned the name name.

Creates and returns a zero integer linear expression.

Creates and returns an integer linear expression initialized as a constant.

Creates and returns a zero linear expression.

Creates and returns a linear expression initialized as the constant.

Creates and returns an empty ILPMatrix object.

Creates and returns an empty ILPMatrix object with the specified name.

The new ILPMatrix object is initialized to 0 (zero) columns and 0(zero) rows. It can be populated later using the ILPMatrix manipulation API. The new ILPMatrix object is assigned the name.

This method must be implemented so that it copies the invoking object to the engine of the given copy manager using the copy manager.

Creates and returns the new expression max(e).

Creates and returns the new expression max(e).

Creates and returns the new expression max(val, e2).

Creates and returns the new expression max(val, e2).

Creates and returns the new expression max(e1, e2).

Creates and returns the new expression max(e1, val).

Creates and returns the new expression max(e1, e2).

Creates and returns the new expression max(e1, val).

Creates and returns an empty maximization objective function.

Creates and returns an empty maximization objective function. This method creates an IObjective object representing a maximization objective function with a zero expression. The new IObjective object is assigned name as its name. This method is typically used in an application that applies column-wise modeling to fill in the objective function while creating the variables.

Creates and returns an instance of IObjective representing an objective to maximize the expression expr.

Creates and returns an instance of IObjective representing an objective to maximize the expression expr and assigned the name name.

Creates and returns the new expression min(e).

Creates and returns the new expression min(e).

Creates and returns the new expression min(val, e2).

Creates and returns the new expression min(val, e2).

Creates and returns the new expression min(e1, e2).

Creates and returns the new expression min(e1, val).

Creates and returns the new expression min(e1, e2).

Creates and returns the new expression min(e1, val).

Creates and returns an empty minimization objective function.

Creates and returns an empty minimization objective function. This method creates and returns an IObjective object representing a minimization objective function with a zero expression. The new IObjective object is assigned name as its name. This method is typically used in an application that applies column-wise modeling to fill in the objective function while creating the variables.

Creates and returns an instance of IObjective representing an objective to minimize the expression expr.

Creates and returns an instance of IObjective representing an objective to minimize the expression expr and assigned the name name.

Creates and returns the new expression -e, the negation of the expression e.

Creates and returns the new expression -e, the negation of the expression e.

Returns a constraint that is the logical negation of its argument.

Returns a constraint that is the logical negation of its argument and assigns the string name as the name of the returned constraint.

Creates and returns an empty expression.

Creates a new modeling variable object of the type NumVarType.Float.

Creates a new numeric variable object.

Creates a new modeling variable of the type NumVarType.Float.

Creates a continuous modeling variable, of type Float with upper bound and lower bound as specified, for column-wise modeling.

Creates a new modeling variable object.

Creates and returns a new modeling variable for column-wise modeling.

This method returns an object representing a new modeling variable with the specified bounds and type. The newly created variable is then installed in existing modeling objects, as defined by the IColumn argument column.

Creates a continuous modeling variable, of type Float with upper bound, lower bound, and name as specified, for column-wise modeling.

This method returns an object representing a new modeling variable of type INumVarType.Float with the specified bounds and name. The newly created variable is then installed in existing modeling objects as defined by the IColumn argument column.

Creates and returns a new modeling variable with the name specified by name for column-wise modeling.

This method returns an object representing a new modeling variable with the specified bounds, type, and name. The newly created variable is then installed in existing modeling objects, as defined by the IColumn argument column.

Creates an array of length n initialized to n new modeling variables of the type NumVarType.Float.

Creates an array of length n initialized to n new modeling variables of type NumVarType.Float.

Creates and returns continuous modeling variables, all of type Float, all with same upper bound, all with the same lower bound, for column-wise modeling.

This method creates new modeling variables of type INumVarType.Float, each with the same specified bounds, and returns them in an array. The number of new variables is determined by the size of the IColumnArray argument cols. The new variables are then installed in existing modeling objects as defined by the IColumnArray argument cols.

Creates and returns continuous modeling variables, all of the same type Float with individually specified upper bound, and individually specified lower bound, for column-wise modeling.

This method creates new modeling variables of type INumVarType.Float, each with its own bounds, and returns them in an array. The number of new variables is determined by the size of the IColumnArray argument cols. Variable i is constructed with bounds lb[i] and ub[i]. The new variables are installed in existing modeling objects as defined by the cols argument.

Creates n new numeric variable objects and returns them in an array.

Creates an array of length n initialized to n new modeling variables of type NumVarType.Float.

Creates n new numeric variables and returns them in an array.

Creates an array of length n initialized to n new modeling variables of type NumVarType.Float.

Creates and returns modeling variables, all of the same type specified by type, all with same upper bound and same lower bound for column-wise modeling.

This method creates new modeling variables, each with the same specified bounds and type, and returns them in an array. The number of new variables is determined by the size of the IColumnArray argument cols. The new variables are then installed in existing modeling objects, as defined by the IColumnArray argument cols.

Creates and returns continuous modeling variables, all of type Float, with the same specified bounds, but with individually specified names, for column-wise modeling.

Creates and returns modeling variables with the individual type specified by the corresponding entry in the array type, and individual upper and lower bounds as specified in those arrays, for column-wise modeling.

This method creates new modeling variables, each with its own bounds and type, and returns them in an array. The number of new variables is determined by the size of the IColumnArray argument cols. The new variable i is constructed with bounds lb[i] and ub[i] and type type[i]. The new variables are installed in existing modeling objects, as defined by the cols argument.

Creates and returns continuous modeling variables, all of type Float with individually specified upper bound, lower bound, and name, for column-wise modeling.

Creates n new numeric variable objects and returns them in an array.

Creates n new numeric variable objects and returns them in an array.

Creates and returns an array of modeling variables with names for column-wise modeling.

Creates and returns modeling variables with the individual type specified by the corresponding entry in the array type, with individual upper and lower bounds as specified in those arrays, with the name specified individually by the corresponding entry in the array name, for column-wise modeling.

Creates and returns an empty objective function with the sense specified by sense.

This method creates and returns an IObjective object with a zero expression and the specified optimization sense. This method is typically used in an application that uses column-wise modeling to fill in the objective function while creating the variables.

Creates and returns an instance of IObjective representing an objective to optimize the expression expr with respect to the optimization sense indicated by sense.

Creates and returns an empty objective function with the sense specified by sense and with the name specified by name.

This method creates and returns an IObjective object with a zero expression and the specified optimization sense. The new IObjective object is assigned name as its name. This method is typically used in an application that applies column-wise modeling to fill in the objective function while creating the variables.

Creates and returns an instance of IObjective representing an objective to optimize the expression expr with respect to the optimization sense indicated by sense and assigned the name name.

Creates an IOr constraint for expressing disjunctions.

Returns an IOr constraint indicating that at least one and possibly more than one of the elements is true in its argument cons, an array of constraints.

Returns an or-constraint indicating that at least one and possibly more than one argument is true.

Returns an IOr constraint indicating that at least one and possibly more than one of the elements is true in its argument cons, an array of constraints.

Returns an or-constraint indicating that at least one and possibly both of its arguments are true.

Returns an or-constraint indicating that at least one and possibly more than one of the elements is true in the range of indices starting at the index indicated by start and continuing through the number of elements indicated by the number num among the elements of its argument cons, an array of constraints.

Returns an or-constraint indicating that at least one and possibly more than one of the elements is true in the range of indices starting at the index indicated by start and continuing through the number of elements indicated by the number num among the elements of its argument cons, an array of constraints.

Creates an expression node that represents a continuous or discontinuous piecewise linear function.

Creates an expression node that represents a continuous or discontinuous piecewise linear function.

Creates an expression node to represent a continuous or discontinuous piecewise linear function.

The piecewise linear function is evaluated at expr and is defined by the remaining arguments. The array points contains breakpoints such that points[i-1] is less than or equal to points[i]. Only num elements starting with element startPoints are considered. The array slopes contains the slope for each piece defined by the breakpoints. Only num+1 elements starting with element startSlopes are considered. The element slopes[startSlopes] specifies the slope of the piecewise linear function for values less than points[startPoints], and slopes[startSlopes+num] specifies the slope of the piecewise linear function for values greater than points[startPoints+num-1]. For elements in between, slopes[startSlopes+i] specifies the slope between points[startPoints+i-1] and points[startPoints+i].

By selecting points[startPoints+i-1] == points[startPoints+i], you can represent a discontinuous piecewise linear function. At points[startPoints+i], it will make a step of size slope[startSlopes+i-1].

The values a and fa define the x and y coordinates of one point of the piecewise linear function. This point is referred to as the anchor point.

Creates and returns an expression representing the product of the expression e1 and the value v.

Creates and returns the new expression v * e.

Creates and returns the new expression e1 * e2.

Creates and returns the new expression e * v.

Creates and returns an expression representing the product of the expressions expr1 and expr2.

Creates and returns an expression representing the product of the expression e and the value v.

Creates and returns an expression representing the product of the value val, the variablevar1, and the variable var2.

Creates and returns an expression representing the product of the variablevar1, the variable var2, and the value val,

Creates and returns an expression representing the product of the variablevar1, the value val, and the variable var2.

Creates and returns an empty IRange object.

Creates and returns an instance of IRange initialized to represent the constraint lb <= expr <= ub.

Creates and returns an empty IRange object with the name specified by name.

The new IRange object is initialized to represent the constraint lb <= 0 <= ub. The new IRange object is assigned name as its name. This method is typically used in an application that applies column-wise modeling to fill in the expression for the ranged constraint while creating the variables.

Creates and returns an instance of IRange initialized to represent the constraint lb <= expr <= ub and assigned the name name.

This method removes the extractable object from the invoking model.

This method removes the array of extractable objects from the invoking model.

This method removes modeling objects from the invoking IModel.

Creates and returns a linear expression representing the scalar product of the provided values with the provided variables.

Creates and returns an integer linear expression representing the scalar product of the provided integer values with the provided integer variables.

Creates and returns a linear expression representing the scalar product of the provided values with the provided variables.

Creates and returns a linear expression representing the scalar product of the provided variables.

Creates and returns an integer linear expression representing the scalar product of the provided integer values with the provided integer variables.

Creates and returns a linear expression representing the scalar product of the variables provided as arguments.

Creates and returns a linear expression representing the scalar product of the provided values with the provided variables.

Creates and returns a linear expression representing the scalar product of the provided values with the provided variables.

Creates and returns a linear expression representing the scalar product of the values provided in coefs[start]...coefs[start+num-1] with the variables provided in vars[start]...vars[start+num-1].

Creates and returns an integer linear expression representing the scalar product of the integer values provided in vals[start]...vals[start+num-1] with the integer variables provided in vars[start]...vars[start+num-1].

Creates and returns a linear expression representing the scalar product of the variables provided as arguments.

Creates and returns an integer linear expression representing the scalar product of the integer values provided in vals[start]...vals[start+num-1] with the integer variables provided in vars[start]...vars[start+num-1].

Creates and returns a linear expression representing the scalar product of the variables provided as arguments.

Creates and returns a linear expression representing the scalar product of the values provided in coefs[start]...coefs[start+num-1] with the variables provided in vars[start]...vars[start+num-1].

Creates and returns a new semi-continuous modeling variable with a specified semi-continuous lower bound, upper bound, and type.

This method returns an object representing a new semi-continuous modeling variable with the specified bounds and type.

Creates and returns a new semi-continuous modeling variable with specified bounds, type, and name.

This method returns an object representing a new semi-continuous modeling variable with the specified bounds, type, and name.

Creates and returns a new semi-continuous modeling variable with specified type and bounds, for column-wise modeling.

This method returns an object representing a new semi-continuous modeling variable with the specified bounds and type. The newly created variable is then installed in existing modeling objects as defined by the IColumn argument column.

Creates and returns a new semi-continuous modeling variable, with specified bounds, type, and name, for column-wise modeling.

This method returns an object representing a new semi-continuous modeling variable with the specified bounds, type, and name. The newly created variable is then installed in existing modeling objects as defined by the IColumn argument column.

Creates and returns n semi-continuous modeling variables, all of the same type, with the same semi-continuous lower bound and upper bound.

This method creates n new semi-continuous modeling variables, each with the same specified bounds and type, and returns them in an array.

Creates and returns n semi-continuous modeling variables, with individually specified type, semi-continuous lower bound, and upper bound.

This method creates new semi-continuous modeling variables, each with its own bounds and type, and returns them in an array. Variable i is constructed with bounds sclb[i] and ub[i] and type type[i].

Creates and returns semi-continuous modeling variables, all with the same type and bounds, for column-wise modeling.

Creates and returns semi-continuous modeling variables, with individually specified type, semi-continuous lower bound, and upper bound, for column-wise modeling.

This method creates new semi-continuous modeling variables, each with its own bounds and type, and returns them in an array. The number of new variables is determined by the size of the IColumnArray argument cols. Variable i is constructed with bounds sclb[i] and ub[i] and type type[i]. The new variables will be installed in existing modeling objects as defined by the cols argument.

Creates and returns n semi-continuous modeling variables, all with the same type, semi-continuous lower bound, and upper bound, but with individually specified name.

This method creates n new semi-continuous modeling variables, each with the same specified bounds and type, and returns them in an array. Each new variable is assigned a separate name, with variable i assigned name[i].

Creates and returns n semi-continuous modeling variables, all of the same type, with the same semi-continuous lower bound and upper bound, and individually specified name.

Creates and returns semi-continuous modeling variables with individually specified type, semi-continuous lower bound, upper bound, and name, for column-wise modeling.

Creates and returns semi-continuous modeling variables, with individually specified type, semi-continuous lower bound, upper bound, and name, for column-wise modeling.

Sets linear coefficient for variable var to val in the expression of the specified IObjective object.

Sets linear coefficient for variable var to val in the expression of the specified IObjective object.

Sets linear coefficient for variable var to val in the expression of the specified IRange object.

Sets linear coefficient for variable var to val in the expression of the specified IRange object.

Sets linear coefficients for variables in the expression of the specified IObjective object.

Sets linear coefficients for variables in the expression of the specified IObjective object.

Sets linear coefficients for variables in the expression of the specified IRange object.

Sets linear coefficients for variables in the expression of the specified IRange object.

Sets linear coefficients for variables in the expression of the specified IObjective object.

Sets linear coefficients for variables in the expression of the specified IObjective object.

Sets linear coefficients for variables in the expression of the specified IRange object.

Sets linear coefficients for variables in the expression of the specified IRange object.

Creates an SOS of type 1 with the specified variables and weights.

Creates an SOS of type 1 with the specified variables and weights, and assigns the new SOS its name.

Creates an SOS of type 1 with the num specified variables and weights, starting from the index specified by start.

Creates an SOS of type 1 with the num specified variables and weights, starting from the index specified by start, and assigns the new SOS a name.

Creates an SOS of type 2 with the specified variables and weights.

Creates an SOS of type 2 with the specified variables and weights, and assigns the new SOS its name.

Creates an SOS of type 2 with the num specified variables and weights, starting from the index specified by start.

Creates an SOS of type 2 with the num specified variables and weights, starting from the index specified by start, and assigns the new SOS its name.

Creates and returns the new expression e^2.

Creates and returns an expression representing the square of the expression e (that is, e * e).

Creates and returns an integer expression representing the sum of the expressions provided in the array expr.

Creates and returns an expression representing the sum of the expressions provided as terms in the array expr.

Creates and returns an expression representing the sum of a value and a numeric expression.

Creates and returns an integer expression representing the sum of a value and an integer expression.

Adds two integer expressions and returns the sum.

Creates and returns an integer expression representing the sum of an integer expression and a value.

Adds two numeric expressions and returns the sum.

Creates and returns an expression representing the sum of a numeric expression and a value.

Adds three integer expressions and returns the sum.

Creates and returns an integer expression representing the sum of the num expressions provided in the array expr starting with element start.

Adds three numeric expressions and returns their sum.

Creates and returns an expression representing the sum of the num expressions provided as terms in the array expr starting with element start.

Adds four integer expressions and returns the sum.

Adds four numeric expressions and returns the sum.

Adds five integer expressions and returns the sum.

Adds five numeric expressions and returns the sum.

Adds six integer expressions and returns the sum.

Adds six numeric expressions and returns the sum.

Adds seven integer expressions and returns the sum.

Adds seven numeric expressions and returns the sum.

Adds eight integer expressions and returns the sum.

Adds eight numeric expressions and returns the sum.

This method is called when the object and all its sub-objects must be visited. To implement this method, you should first call the method ICopyableVisitor.BeginVisit() with yourself as parameter, then call ICopyableVisitor.VisitChild() for each sub-copyables, the call ICopyableVisitor.EndVisit() once again with yourself as parameter.