Optimization constraints
An OptimizationConstraint
object contains constraints in
terms of OptimizationVariable
objects or OptimizationExpression
objects. Each constraint uses one of these
comparison operators: ==
, <=
, or
>=
.
A single statement can represent an array of constraints. For example, you can express
the constraints that each row of a matrix variable x
sums to one, as
shown in Create Simple Constraints in Loop.
Tip
For the full workflow, see Problem-Based Optimization Workflow or Problem-Based Workflow for Solving Equations.
Create an empty constraint object using optimconstr
. Typically, you use a loop to fill the expressions in the
object.
If you create an optimization expressions from optimization variables using a
comparison operators ==
, <=
, or
>=
, then the resulting object is either an OptimizationEquality
or an OptimizationInequality
. See Compatibility Considerations.
Include constraints in the Constraints
property of an optimization
problem by using dot notation.
prob = optimproblem;
x = optimvar('x',5,3);
rowsum = sum(x,2);
prob.Constraints.rowsum = rowsum;
infeasibility | Constraint violation at a point |
show | Display information about optimization object |
write | Save optimization object description |
infeasibility
| optimconstr
| OptimizationEquality
| OptimizationExpression
| OptimizationInequality
| OptimizationProblem
| OptimizationVariable
| show
| write