give at least 1
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Linear programming is a method for optimizing a linear objective function within constraints, facilitating efficient resource allocation to achieve goals like maximizing profits or minimizing costs, and is widely applicable in fields such as operations research and logistics.
I have learned that it is a mathematical technique used to optimize a linear objective function subject to linear equality and inequality constraints, enabling efficient resource allocation in various fields such as economics, engineering, and logistics.
hsving different method to use while getting optimal solution
In Linear Programming (LP), I’ve learned that it’s a mathematical technique used to optimize an objective function, often involving maximization or minimization of costs or profits. LP models consist of an objective function and several constraints expressed as linear inequalities or equations. Using methods like the Simplex algorithm or graphical solutions, LP finds the best possible outcome within defined limits. It’s widely applied in areas like resource allocation, production scheduling, and transportation to make efficient decisions. Additionally, tools like POM-QM make it easier to solve complex LP problems and visualize feasible solutions.
I learned in the simplex method for linear programming we should know the process terminated when there are no negative coefficient in the object function row.