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Nonlinear Programming 13

Nonlinear Programming13 Numerous mathematical- Programming applications, including many introduced in previous chapters, arecast naturally as linear programs. Linear Programming assumptions or approximations may also lead toappropriate problem representations over the range of decision variables being considered. At other times,though, nonlinearities in the form of either Nonlinear objectivefunctions or Nonlinear constraints are crucialfor representing an application properly as a mathematical program. This chapter provides an initial steptoward coping with such nonlinearities, first by introducing several characteristics of Nonlinear programs andthen by treating problems that can be solved using simplex-like pivoting procedures.

Portfolio Selection An investor has $5000 and two potential investments. Let xj for j =1 and j =2 denote his allocation to investment j in thousands of dollars. From historical data, investments 1 and 2 have an expected annual return of 20 and 16 percent, respectively. Also, the total risk involved with investments 1

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