Suppose that a differentiable functional f on an open set S n is quasiconcave. At every regular
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A restricted form of quasiconcavity is useful in optimization (see section 5.4.3). A function is quasiconcave if it satisfies (37) at regular points of f. It is pseudoconcave if it satisfies (37) at all points of its domain. That is, a differentiable functional on an open convex set S n is pseudoconcave if
A function is pseudoconvex if -f is pseudoconcave. Pseudoconcave functions have two advantages over quasiconcave functions-every local optimum is a global optimum, and there is an easier second derivative test for pseudoconcave functions. Nearly all quasiconcave functions that we encounter are in fact pseudoconcave.
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