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2Characterizing solutions

Introduction

In this chapter, we consider optimization problems of the form

minimizef0(x)subject toxΩ\begin{array}{ll} \minimize& f_0({x})\\ \st & x \in \Omega \end{array}

where f0:RnRf_0 : \mathbb{R}^n \to \mathbb{R} is the objective function. For simplicity, we assume (unless otherwise stated) that the domain of (1) is Rn\mathbb{R}^n.

Recall from the previous chapter that when Ω=Rn\Omega = \mathbb{R}^n the problem (1) the problem is said to be unconstrained; otherwise, if ΩRn\Omega \subset \mathbb{R}^n, we say that (1) is a constrained optimization problem.