Linear Programming

LINEAR PROGRAMMINGIntroductionLinear programming is defined as a numeric process of determining a way to attain the better(p) outcome in a given mathematical framework for some list of requirements represented as bi bi running(a) equivalences or as a technique for the optimisation of a elongated prey employment , discipline to linear equality and linear inequality constraintsIn economics it is a model for finding the optimisation (maximum or minimum ) of linear functions in various variables subject to constraintsThe objectives of a problem include the followingObjective Function : which is a linear function of variables that is to be optimized either maximized or minimized physical exertion profit function , cost function etcConstraints : linear equation represented by a straight line that whitethorn be expressed as linear inequations or equationsFeasible solving : is a set of values of the variables x1 , x2 , x3 , xn that satisfy all the constraints and in addition the non-negativity conditions .Optimal Solution : The feasible solution that optimizes (i .

e , maximizes or minimizes ) the objective function . Linear programming is also applicable only to problems where the constraints and objective function are linearOptimization : a decision that is considered the top hat one(a) , taking into consideration all the circumstances of getting the best possible outcomeLinear programming model differs from a generalized mathematical programming model because , it is a method used for the optimization of a linear objective function , subject to linear equality and linear inequality constraints used to develop the routine for solving a general programming problem (Alexander , 1998 . sometimes it...If you want to get a full essay, order it on our website: Ordercustompaper.com

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