AN 'n' dimensional point x1,x2,----------------xn is said to be a feasible solution to the given LPP. if satisfies not only the set of all constraints but even the non-negative restrictions.
feasible solution
A solution is Pareto optimal if there exists no feasible solution for which an improvement in one objective does not lead to a simultaneous degradation in one (or more) of the other objectives. That solution is a nondominated solution.
Feasible means possible viable means possible plus practical.
Profitable means a venture or activity which turns in a profit. Feasible means a course of action which can work or deliver the desired result.
Economic feasibility is the analysis of a project's benefits and costs. The purpose is to help management decide whether or not they should continue. If the future benefits outweigh the estimated cost of developing or acquiring the new system then it is economically feasible.
feasible solution
optimal solution is the possible solution that we able to do something and feasible solution is the solution in which we can achieve best way of the solution
The optimal solution is the best feasible solution
the optimal solution is best of feasible solution.this is as simple as it seems
Non_degenerate basic feasible solution
is a solution in which all the constrains and variables are violated
is a solution in which all the constrains and variables are violated
Yes they will. That is how the feasible region is defined.
It is usually the answer in linear programming. The objective of linear programming is to find the optimum solution (maximum or minimum) of an objective function under a number of linear constraints. The constraints should generate a feasible region: a region in which all the constraints are satisfied. The optimal feasible solution is a solution that lies in this region and also optimises the obective function.
It is usually the answer in linear programming. The objective of linear programming is to find the optimum solution (maximum or minimum) of an objective function under a number of linear constraints. The constraints should generate a feasible region: a region in which all the constraints are satisfied. The optimal feasible solution is a solution that lies in this region and also optimises the obective function.
The Feasible Region
Define the Basic feasible solution