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Mathematical Optimization in Graphics and Vision - Luiz Velho - Impa

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Chapter 2<br />

<strong>Optimization</strong>: an overview<br />

2.1 What is optimization?<br />

Intuitively, optimization refers to the class of problems that consists <strong>in</strong> choos<strong>in</strong>g<br />

the best among a set of alternatives.<br />

Even <strong>in</strong> this simple, imprecise statement, one can identify the two fundamental<br />

elements of an optimization problem: best, that conveys a choice of criterium<br />

used to choose the solution; this is usually expressed by means of a function, that<br />

should be m<strong>in</strong>imized or maximized; alternatives, that refers to the set of possible<br />

solutions that must be satisfied by any c<strong>and</strong>idate solution. A simple example will<br />

help us clarify these remarks.<br />

Example 7 (Hotel-to-conference problem). F<strong>in</strong>d the best street path to go from<br />

the hotel where you are stay<strong>in</strong>g to the Convention Center. The alternatives here<br />

consists of all of the streets (or parts of streets) that when jo<strong>in</strong>ed provide a path<br />

to go from your hotel to the Convention Center. It is clearly a f<strong>in</strong>ite set (provided<br />

that we avoid paths conta<strong>in</strong><strong>in</strong>g loops). We have different choices for the term best:<br />

• The street path that takes the smallest time;<br />

• The shortest street path;<br />

• The street path that has the best view of the l<strong>and</strong>scape, etc.<br />

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