Many inherently nonlinear problems can be transformed into linear models with the use of:
A) integer variables
B) integer constraints
C) binary variables
D) binary constraints

Question

Many inherently nonlinear problems can be transformed into linear models with the use of:
A) integer variables 
B) integer constraints 
C) binary variables 
D) binary constraints

Quizplus · Accepted Answer

Binary variables can be used to linearize nonlinear constraints, such as the logical OR or logical AND constraints, through the introduction of additional linear constraints. This technique is known as Binary Integer Programming or Mixed Integer Linear Programming. Moreover, binary variables can be used to represent the on-off behavior of decision variables in many applications, such as scheduling, routing, and network flow problems. Therefore, C) is the best choice for transforming nonlinear problems into linear models.

Many Inherently Nonlinear Problems Can Be Transformed into Linear Models