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Definition of Linear Programming - The common LPP says for optimizing (maximizing / minimizing) a linear function of variables known as 'Objective function' subject to a set of linear equations and / or inequalities known as 'Constraints' or 'Restrictions'.
Linear programming known as LP, or linear optimization is a mathematical approach and method for determining a solution to achieve the best outcome and results such as maximum profit and lowest cost in a known mathematical model for some list of needs and requirements represented such as linear relationships. Linear programming method is a particular specific case of mathematical programming or mathematical optimization. More elaborate, linear programming is a unique technique for optimization of a linear objective function, it is subject to linear equality & linear inequality constraints. Its feasible region is a polyhedron that is a set described as the intersection of finitely many half spaces, each of which is considered by a linear inequality. Its objective function is a real-valued affine function considered on this polyhedron. A linear programming algorithm gives a point in the polyhedron where the function has the smallest or largest value if such point exists.
Linear Programming is a part of Operation Research homework help and also considered in Mathematics assignments as well. It requires more skilled knowledge before solving any type of questions. Specialized linear programming tutors are avail here at TutorsGlobe for your help. Get solved questions anytime from anywhere, just one click away.
Benefits of Linear Programming Techniques
Disadvantages of Linear Programming
Some disadvantages are linked with linear programming techniques
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