# mat - as cost, time, and inconvenience. Cost minimization...

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maximization LP model A mathematical optimization model consists of an objective function and a set of constraints in the form of a system of equations or inequalities. Optimization models are used extensively in almost all areas of decision-making, such as engineering design and financial portfolio selection. Minimize and Maximize yield lists giving the value attained at the minimum or maximum, together with rules specifying where the minimum or maximum occurs. maximizing an objective function subject to a constraint. for example, the consumer maximizes utility subject to a budget constraint while minimization is the determination of the simplest expression of a Boolean function equivalent to a given one. Behavior that attempts to minimize such undesirable factors
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Unformatted text preview: as cost, time, and inconvenience. Cost minimization is a usual goal of the production department of a firm. For example, a production department manager wishes to find the least cost combination of input materials in order to make a finished product. Linear programming (lp) models may be formulated in the format of either profit maximization or cost minimization. A linear programming (LP) problem is called a standard maximization problem if: • We are to find the maximum (not minimum) value of the objective function. • All the variables x, y, z, . .. are constrained to be non-negative. • All further constraints have the form Ax + By + Cz + . . . N (and not ) with N nonnegative....
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## This note was uploaded on 02/10/2012 for the course MAT 540 taught by Professor Dralexander during the Spring '11 term at Strayer.

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