Add standard_form modifications

docs/src/constraints.md

@@ -547,13 +547,41 @@ model with different coefficients.
 
 ### Modifying a constant term
 
-Most often, modifications involve changing the "right-hand side" of a linear
-constraint. This presents a challenge for JuMP because it leads to ambiguities.
-For example, what is the right-hand side term of
-`@constraint(model, 2x + 1 <= x - 3)`? This applies more generally to any
-constant term in a function appearing in the objective or a constraint.
+Use [`set_standard_form_rhs`](@ref) to modify the right-hand side (constant)
+term of a constraint. Use [`standard_form_rhs`](@ref) to query the right-hand
+side term.
 
-To avoid these ambiguities, JuMP includes the ability to *fix* variables to a
+```jldoctest con_fix; setup = :(model = Model(); @variable(model, x))
+julia> @constraint(model, con, 2x <= 1)
+con : 2 x <= 1.0
+
+julia> set_standard_form_rhs(con, 3)
+
+julia> con
+con : 2 x <= 3.0
+
+julia> standard_form_rhs(con)
+3.0
+```
+
+!!! note
+    JuMP normalizes constraints into a standard form by moving all constant terms
+    onto the right-hand side of the constraint.
+    ```julia
+    @constraint(model, 2x - 1 <= 2)
+    ```
+    will be normalized to
+    ```julia
+    @constraint(model, 2x <= 3)
+    ```
+    [`set_standard_form_rhs`](@ref) sets the right-hand side term of the
+    normalized constraint.
+
+If constraints are complicated, e.g., they are composed of a number of
+components, each of which has a constant term, then it may be difficult to
+calculate what the right-hand side term should be in the standard form.
+
+For this situation, JuMP includes the ability to *fix* variables to a
 value using the [`fix`](@ref) function. Fixing a variable sets its lower
 and upper bound to the same value. Thus, changes in a constant term can be
 simulated by adding a dummy variable and fixing it to different values. Here is
@@ -563,31 +591,49 @@ an example:
 julia> @variable(model, const_term)
 const_term
 
-julia> @constraint(model, con, 2x <= const_term)
-con : 2 x - const_term <= 0.0
+julia> @constraint(model, con, 2x <= const_term + 1)
+con : 2 x - const_term <= 1.0
 
 julia> fix(const_term, 1.0)
 ```
+The constraint `con` is now equivalent to `2x <= 2`.
+
 !!! note
     Even though `const_term` is fixed, it is still a decision variable. Thus,
     `const_term * x` is bilinear. Fixed variables are not replaced with
     constants when communicating the problem to a solver.
 
 ### Modifying a variable coefficient
 
-It is also possible to modify the scalar coefficients (but notably *not yet* the
-quadratic coefficients) using the [`set_coefficient`](@ref) function. Here
-is an example:
+To modify the scalar coefficients of a cosntraint (but notably *not yet* the
+quadratic coefficients), use [`set_standard_form_coefficient`](@ref). To query
+the current coefficient, use [`standard_form_coefficient`](@ref).
 ```jldoctest; setup = :(model = Model(); @variable(model, x))
 julia> @constraint(model, con, 2x <= 1)
 con : 2 x <= 1.0
 
-julia> set_coefficient(con, x, 3)
+julia> set_standard_form_coefficient(con, x, 3)
 
 julia> con
 con : 3 x <= 1.0
+
+julia> standard_form_coefficient(con, x)
+3.0
 ```
 
+!!! note
+    JuMP normalizes constraints into a standard form by moving all terms
+    involving variables onto the left-hand side of the constraint.
+    ```julia
+    @constraint(model, 2x <= 1 - x)
+    ```
+    will be normalized to
+    ```julia
+    @constraint(model, 3x <= 1)
+    ```
+    [`set_standard_form_coefficient`](@ref) sets the coefficient of the
+    normalized constraint.
+
 ## Constraint deletion
 
 Constraints can be deleted from a model using [`delete`](@ref). Just like
@@ -672,7 +718,10 @@ SecondOrderCone
 RotatedSecondOrderCone
 PSDCone
 shadow_price
-set_coefficient
+standard_form_coefficient
+set_standard_form_coefficient
+standard_form_rhs
+set_standard_form_rhs
 is_valid
 JuMP.delete
 LowerBoundRef

src/aff_expr.jl

@@ -92,6 +92,10 @@ Base.broadcastable(a::GenericAffExpr) = Ref(a)
 
 GenericAffExpr{C, V}() where {C, V} = zero(GenericAffExpr{C, V})
 
+function _affine_coefficient(f::GenericAffExpr{C, V}, variable::V) where {C, V}
+    return get(f.terms, variable, zero(C))
+end
+
 function map_coefficients_inplace!(f::Function, a::GenericAffExpr)
     # The iterator remains valid if existing elements are updated.
     for (coef, var) in linear_terms(a)

src/constraints.jl

@@ -395,36 +395,94 @@ function add_constraint(model::Model, c::AbstractConstraint, name::String="")
 end
 
 """
-    set_coefficient(constraint::ConstraintRef, variable::VariableRef, value)
+    set_standard_form_coefficient(constraint::ConstraintRef, variable::VariableRef, value)
 
 Set the coefficient of `variable` in the constraint `constraint` to `value`.
 
 Note that prior to this step, JuMP will aggregate multiple terms containing the
 same variable. For example, given a constraint `2x + 3x <= 2`,
-`set_coefficient(c, x, 4)` will create the constraint `4x <= 2`.
-
+`set_standard_form_coefficient(c, x, 4)` will create the constraint `4x <= 2`.
 
 ```jldoctest; setup = :(using JuMP), filter=r"≤|<="
 model = Model()
 @variable(model, x)
 @constraint(model, con, 2x + 3x <= 2)
-set_coefficient(con, x, 4)
+set_standard_form_coefficient(con, x, 4)
 con
 
 # output
 
 con : 4 x <= 2.0
 ```
 """
-function set_coefficient(constraint::ConstraintRef{Model, _MOICON{F, S}},
-                         variable, value) where {S, T, F <: Union{
-                             MOI.ScalarAffineFunction{T},
-                             MOI.ScalarQuadraticFunction{T}}}
-    MOI.modify(backend(constraint.model), index(constraint),
-        MOI.ScalarCoefficientChange(index(variable), convert(T, value)))
+function set_standard_form_coefficient(
+    constraint::ConstraintRef{Model, _MOICON{F, S}}, variable, value
+    ) where {S, T, F <: Union{MOI.ScalarAffineFunction{T}, MOI.ScalarQuadraticFunction{T}}}
+    MOI.modify(backend(owner_model(constraint)), index(constraint),
+               MOI.ScalarCoefficientChange(index(variable), convert(T, value)))
+    return
+end
+@deprecate set_coefficient set_standard_form_coefficient
+
+"""
+    standard_form_coefficient(constraint::ConstraintRef, variable::VariableRef)
+
+Return the coefficient associated with `variable` in `constraint` after JuMP has
+normalized the constraint into its standard form. See also
+[`set_standard_form_coefficient`](@ref).
+"""
+function standard_form_coefficient(
+    constraint::ConstraintRef{Model, _MOICON{F, S}}, variable
+    ) where {S, T, F <: Union{MOI.ScalarAffineFunction{T}, MOI.ScalarQuadraticFunction{T}}}
+    con = JuMP.constraint_object(constraint)
+    return _affine_coefficient(con.func, variable)
+end
+
+"""
+    set_standard_form_rhs(constraint::ConstraintRef, value)
+
+Set the right-hand side term of `constraint` to `value`.
+
+Note that prior to this step, JuMP will aggregate all constant terms onto the
+right-hand side of the constraint. For example, given a constraint `2x + 1 <=
+2`, `set_standard_form_rhs(c, 4)` will create the constraint `2x <= 4`, not `2x +
+1 <= 4`.
+
+```jldoctest; setup = :(using JuMP; model = Model(); @variable(model, x)), filter=r"≤|<="
+julia> @constraint(model, con, 2x + 1 <= 2)
+con : 2 x <= 1.0
+
+julia> set_standard_form_rhs(con, 4)
+
+julia> con
+con : 2 x <= 4.0
+```
+"""
+function set_standard_form_rhs(
+    constraint::ConstraintRef{Model, _MOICON{F, S}}, value) where {
+        T,
+        S <: Union{MOI.LessThan{T}, MOI.GreaterThan{T}, MOI.EqualTo{T}},
+        F <: Union{MOI.ScalarAffineFunction{T}, MOI.ScalarQuadraticFunction{T}}}
+    MOI.set(owner_model(constraint), MOI.ConstraintSet(), constraint,
+            S(convert(T, value)))
     return
 end
 
+"""
+    standard_form_rhs(constraint::ConstraintRef)
+
+Return the right-hand side term of `constraint` after JuMP has converted the
+constraint into its standard form. See also [`set_standard_form_rhs`](@ref).
+"""
+function standard_form_rhs(
+    constraint::ConstraintRef{Model, _MOICON{F, S}}) where {
+        T,
+        S <: Union{MOI.LessThan{T}, MOI.GreaterThan{T}, MOI.EqualTo{T}},
+        F <: Union{MOI.ScalarAffineFunction{T}, MOI.ScalarQuadraticFunction{T}}}
+    con = constraint_object(constraint)
+    return MOIU.getconstant(con.set)
+end
+
 """
     value(cref::ConstraintRef)
 

src/quad_expr.jl

@@ -74,6 +74,10 @@ function map_coefficients(f::Function, q::GenericQuadExpr)
     return map_coefficients_inplace!(f, copy(q))
 end
 
+function _affine_coefficient(f::GenericQuadExpr{C, V}, variable::V) where {C, V}
+    return _affine_coefficient(f.aff, variable)
+end
+
 """
     constant(aff::GenericQuadExpr{C, V})::C
 

test/constraint.jl

@@ -468,14 +468,32 @@ end
         model = JuMP.Model()
         x = @variable(model)
         con_ref = @constraint(model, 2 * x == -1)
-        con_obj = JuMP.constraint_object(con_ref)
-        @test con_obj.func == 2 * x
-        JuMP.set_coefficient(con_ref, x, 1.0)
-        con_obj = JuMP.constraint_object(con_ref)
-        @test con_obj.func == 1 * x
-        JuMP.set_coefficient(con_ref, x, 3)  # Check type promotion.
-        con_obj = JuMP.constraint_object(con_ref)
-        @test con_obj.func == 3 * x
+        @test JuMP.standard_form_coefficient(con_ref, x) == 2.0
+        JuMP.set_standard_form_coefficient(con_ref, x, 1.0)
+        @test JuMP.standard_form_coefficient(con_ref, x) == 1.0
+        JuMP.set_standard_form_coefficient(con_ref, x, 3)  # Check type promotion.
+        @test JuMP.standard_form_coefficient(con_ref, x) == 3.0
+        quad_con = @constraint(model, x^2 == 0)
+        @test JuMP.standard_form_coefficient(quad_con, x) == 0.0
+        JuMP.set_standard_form_coefficient(quad_con, x, 2)
+        @test JuMP.standard_form_coefficient(quad_con, x) == 2.0
+        @test JuMP.isequal_canonical(
+            JuMP.constraint_object(quad_con).func, x^2 + 2x)
+    end
+
+    @testset "Change rhs" begin
+        model = JuMP.Model()
+        x = @variable(model)
+        con_ref = @constraint(model, 2 * x <= 1)
+        @test JuMP.standard_form_rhs(con_ref) == 1.0
+        JuMP.set_standard_form_rhs(con_ref, 2.0)
+        @test JuMP.standard_form_rhs(con_ref) == 2.0
+        con_ref = @constraint(model, 2 * x - 1 == 1)
+        @test JuMP.standard_form_rhs(con_ref) == 2.0
+        JuMP.set_standard_form_rhs(con_ref, 3)
+        @test JuMP.standard_form_rhs(con_ref) == 3.0
+        con_ref = @constraint(model, 0 <= 2 * x <= 1)
+        @test_throws MethodError JuMP.set_standard_form_rhs(con_ref, 3)
     end
 end