is a solution in which all the constrains and variables are violated
the phenomenon of obtaining a degenerate basic feasible solution in a linear programming problem known as degeneracy.
The first approximation to is always integral and therefore always a feasible solution. Rather than determining a first approximation by a direct application of the simplex method it is more efficient to work with the table given below called the transportation table. The transportation algorithm is the simplex method specialized to the format of table it involves: i) finding an integral basic feasible solution ii) testing the solution for optimality iii) improving the solution, when it is not optimal iv) repeating steps (ii) and (iii) until the optimal solution is obtained.
Some synonyms for the word 'feasible' are 'acheiveable', 'viable' and 'proable'.
He was feasible when he went on a run to the market.They were feasible when they decided to take the job as lawyers."It is not feasible to try & set up a second rail network."
elevators.
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
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
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.