Dynamic programming (DP) has been used to solve a wide range of optimization
problems
When solving a problem using linear programming, specific inequalities involving the inputs are found and then an attempt is made to maximize (or minimize) some linear function of the inputs.
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you learn linear programming before you learn the transportation problem.
Integer programming is a subset of linear programming where the feasible region is reduced to only the integer values that lie within it.
Linear programming is a technique for determining the optimum combination of resources to obtain a desired goal. It is based upon the assumption that there is a linear ,or straight line, relationship between variables and that the limits of the variations can be easily determined.
Analytical range refers to the method/procedure used, It can include a non linear response. If you plot the analytical results versus the reference values you will have a linear curve. The linear range could be more precisely given by saying the linear instrument range
None.