Challenges of Programming Essay Example | Topics and Well Written Essays - 1250 words

Challenges of Programming - Essay ExampleSpecifically, the subsection on Nonlinear Programming include a parole of profit graphs with nonproportional relationships. For the subsection on Decision Analysis, different decision criteria were explained. The subsection on Forecasting has a detailed discussion on forecasting techniques. The subsection on Queuing tackled different queuing systems. At the end of every subsection, the author reacts to the issues at hand.Managers can count on a number of quantitative decision making methods that can aid them in coming up with a set of proceed judgments as the need arises. These methods include Nonlinear Programming, Decision Analysis, Forecasting, and Queuing. The following subsections will provide a discussion of these methods and the text of Hillier and Hillier (2010) was used extensively.Linear Programming is a subclass of mathematical programming that uses straight-line or linear relationships among the constraints and quarry functions (Gass, 2003). The problem falls under Nonlinear programming when at least one of these relationships is nonlinear in nature. Thus, Linear Programming assumes a proportional relationship between activity levels and overall measure of surgical operation while Nonlinear Programming is used to model nonproportional relationships. There are four (4) types of profit graphs associated with nonproportional relationships. First, the change magnitude Marginal Returns wherein the dependent variable star increases at a decreasing rate as the dependent variable increases. Second, the Piecewise Linear which consists of a sequence of connected line segments. Third, the graph of Discontinuities which suddenly jumps up or down. Fourth, the change magnitude Marginal Returns wherein the dependent variable increases at an increasing rate.Decision Analysis uses a methodological come along to rationally addressing management problems that are much more complicated and display higher levels of uncerta inty