Linear programming examples require linearity in the equations In a linear equation, each decision variable is multiplied by a constant coefficient with no multiplying between decision variables & no nonlinear functions such as logarithms. Linearity requires the following assumptions:
* Proportionality: A variation in a variable results in a proportionate change in that variable's contribution to the value of the function.
* Additivity: the function value is the total of the contributions of each term.
* Divisibility: the decision variables will be divided into non-integer values, taking on fractional values. Integer programming methods can be applied if the divisibility assumption does not hold.
In addition to these linearity assumptions & linear programming assumes certainty; that is, that the coefficients are known & constant.
In our next blog we shall learn about Ogive Graph I hope the above explanation was useful.Keep reading and leave your comments.
