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Definitions and explanations of key terms related to nonlinear programming, including the differences between linear and nonlinear programming, global and local optima, and the role of lagrange multipliers. It also covers the challenges of solving nonlinear programming problems and introduces the concept of unconstrained and constrained optimization models.
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When problems fit the general linear programming format but include nonlinear functions, they are referred to as nonlinear programming problems. TERM 2
DEFINITION 2 What is difficult in nonlinear programming is determining if a point is a local optima or the global optimum. TERM 3
DEFINITION 3 The solution of nonlinear programming problems is different and considerably more complex than that of linear programming problems. A nonlinear programming model has the same general form as the linear programming model except that the objective function and/or the constraint(s) are nonlinear. TERM 4
DEFINITION 4 g................. TERM 5
DEFINITION 5 Z = vp - cf - vcv
highest. At that point the slope of the curve will equal zero. TERM 7
DEFINITION 7 equal TERM 8
DEFINITION 8 The derivative of our profit function: Given this derivative, the slope of the profit curve at its highest point. set equal to 0 Solving for p: Solving for volume: Solving for maximum total profit: TERM 9
DEFINITION 9 consists of a single nonlinear objective function and no constraints. TERM 10
DEFINITION 10 has one or more constraints.
is a measure of correlation, may also be used to reflect risk (of not diversifying).