It is the cost of one item - usually to produce but sometimes to purchase.
Fixed Cost Problem is a kind of the Mixed Linear Programming Problem(MILP).Also, MILP is a Parametric Quadratic Concave Programming Problem. The optimal solution is existence of vertix set of the domain set. Then, you can use the domain cutting method.
http://en.wikipedia.org/wiki/Reduced_cost
Saburo Muroga has written: 'Logical design of an optimal network by integer linear programming' -- subject(s): Circuits, Electronic digital computers, Linear programming, Threshold logic 'Minimization of logic networks under a generalized cost function' -- subject(s): Mathematical optimization, Switching theory
It is linear.
It is linear.
Linear Cost Function A linear cost functionexpresses cost as a linear function of the number of items. In other words, C = mx + bHere, C is the total cost, and x is the number of items. In this context, the slope m is called the marginal cost and b is called the fixed cost.
The exact value is 9.7841 so I expect 9.79
cost estimation and architecture uses linear function.
Multiply the cost per unit (8) times the length (10.5) = 84
This usually applies to word problems with several variables which are 'connected' in the story. There are also some additional statements about cost or profit. The constraints are used to write equations. These are graphed and there is usually an enclosed space, Because all the equations form straight lines, hence the name linear programming. Intersections of these lines gives pionts where the max profit or min cost will occur. Take these points and put them into the cost/profit equation to find the max/min. The fundamental theorem is that the max/min will occur at these intersection points that is the whole point of graphing and finding the intersections.
Economics is essentially about the allocation the least quantities of scarce resources to maximise utility. Resources could be money - so minimise cost - while utility may be measured by profits. If the production options can be modelled by linear functions - as they often are - then LP is a very useful tool. It is also easily programmed into computers.
The exact value is 9.3635 so I would say probably 9.37