Term  Definition 

Constraint  A limit on a value, such as its maximum, minimum, or that the value can’t be negative. 
Feasibility  An alternative to optimality, this offers a possible solution to a problem with:

Input data  Values necessary for computing the solution, including any constraints. 
Linear function  A function with a polynomial of degree 0 or 1. Displays as a straight line on a graph. 
Linear program  The pursuit of a solution in the form of a real number, where the Objective Function and the constraints are linear. 
Integer linear program  A linear program where variables are constrained to integral values (whole numbers). 
Mixed integer linear program  A linear program where only some of the variables are constrained to integral values. Other variables can be real values (decimal numbers). 
Objective  An expression that guides the optimization engine while it determines which assignments best support the business goal or solution, such as maximum income or minimal expense. 
Optimality  An optimal solution to a problem with:

Time Out  The number of seconds until an Optimizer action that is processing stops and abandons progress. This value must be set when creating an Optimizer action to prevent Optimizer running indefinitely if a problem is unsolvable. 
Upper bound, Lower bound  The maximum or minimum value for a variable. 
Variable  The value that represents the solution to the problem (sometimes called the decision variable). 
Variable data type (Variables must have a numeric data type) 
Integer (whole number Real (decimal, or floating point) Binary (zero or one, can be referred to as Boolean) 