5. Be able to solve small linear programming problems yourself. Linear program ming intro Linear programming is constrained optimization, where the constraints and the objective function are all linear. It is called "programming" becaus e the goal of the calculations help you choose a "program" of action. Classic applications: 1. Equation method can be used to solve linear programming problems with a greater accuracy than the graphical method.Unlike graphical method in which the coordinates of the optimum point are found by measuring directly from the graph, the equation method determines the precise coordinates by mathematically solving the two equations on which the optimum point lies. Efficient Frontier - Stock Portfolio Management: Uses a VBA program to optimize several scenarios for minimum risk at different target rates of return, then draws a graph of the efficient frontier Sharpe - Portfolio Optimization - Sharpe Model (CAPM) : Uses Excel's regression functions to calculate alphas and betas for stocks relative to a ... For example, during the progression if the project, the project could fall behind or move ahead of schedule, which could ultimately lead to a modification of the project management plan. This could result in modifying the early start date. Using lpsolve from R R? R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues.