No, it will not. In fact, there is a special branch of linear programming which is called integer programming and which caters for situations where the solution must consist of integers.
you learn linear programming before you learn the transportation problem.
Integer programming is a subset of linear programming where the feasible region is reduced to only the integer values that lie within it.
It is a solution.
regardless of what the problem is, they are always called integers. unless you have variables or fractions in the problem.
Yes, a linear programming problem can have exactly two optimal solutions. This will be the case as long as only two decision variables are used within the problem.
Problem -> Programming Programming can be a solution to a problem. If you have a problem and it can be solved by a computer program, so you can create such a program - so you can solve this problem by programming.
An algorithm.
Integer programming is a special kind of an optimising problem where the solution must be an integer.
Infeasibility occurs in a linear programming problem when there is no solution that satisfies all the constraints simultaneously.
Integers are closed under subtraction, meaning that any subtraction problem with integers has a solution in the set of integers.
Solutions consist of a solvent, a liquid medium into which solutes can dissolve.
Yes. There need not be a feasible region.
There is no programming solution for "anything". Programs are specifically designed to solve a particular problem.
The strong duality proof for linear programming problems states that if a linear programming problem has a feasible solution, then its dual problem also has a feasible solution, and the optimal values of both problems are equal. This proof helps to show the relationship between the primal and dual problems in linear programming.
the phenomenon of obtaining a degenerate basic feasible solution in a linear programming problem known as degeneracy.
An optimization problem is a mathematical problem where the goal is to find the best solution from a set of possible solutions. It can be effectively solved by using mathematical techniques such as linear programming, dynamic programming, or heuristic algorithms. These methods help to systematically search for the optimal solution by considering various constraints and objectives.
1. What do you understand by Linear Programming Problem? What are the requirements of Linear Programming Problem? What are the basic assumptions of Linear Programming Problem?