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Mathematical Optimization in Graphics and Vision - Luiz Velho - Impa

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2.7. THE PROBLEM OF POSING PROBLEMS 31<br />

3. The solution depends cont<strong>in</strong>uously on the <strong>in</strong>itial conditions.<br />

When at least one of the above conditions is not satisfied, we say that the<br />

problem is ill-posed.<br />

We have seen previously that <strong>in</strong> general <strong>in</strong>verse problems of the first <strong>and</strong> second<br />

k<strong>in</strong>d are ill-posed <strong>in</strong> the sense of Hadamard because of the non-uniqueness of the<br />

solution,<br />

The concept of ill-posed problem needs to be further <strong>in</strong>vestigated very carefully.<br />

The cont<strong>in</strong>uity condition is important because it guarantees that small variations<br />

of the <strong>in</strong>itial conditions will cause only small perturbations of the solution.<br />

Recall that, <strong>in</strong> practical problems, small variations <strong>in</strong> the <strong>in</strong>itial conditions are<br />

quite common (<strong>and</strong> sometimes, <strong>in</strong>evitable) due to measurement imprecision or<br />

numerical errors. The non-uniqueness of solutions, on the other h<strong>and</strong>, should not<br />

be necessarily an obstacle. An example will make this po<strong>in</strong>t clear.<br />

Example 13. Consider the operator F : R 2 → R def<strong>in</strong>ed by F (x, y) = x 2 +y 2 −1<br />

<strong>and</strong> the <strong>in</strong>verse problem of the first k<strong>in</strong>d F (x, y) = 0. That is, we must solve the<br />

quadratic equation x 2 + y 2 − 1 = 0. It is clear that it admits an <strong>in</strong>f<strong>in</strong>ite number of<br />

solutions, therefore it is ill-posed <strong>in</strong> the sense of Hadamard. Geometrically, these<br />

solutions constitute the unit circle S 1 of the plane. The non-uniqueness of the<br />

solutions is very important <strong>in</strong> the representation of the circle. In fact, <strong>in</strong> order to<br />

obta<strong>in</strong> a sampled representation of the circle we need to determ<strong>in</strong>e a f<strong>in</strong>ite subset<br />

of these solutions. Figure 2.3 shows the use of seven solutions of the equation that<br />

allows us to obta<strong>in</strong> an approximate reconstruction of the circle by an heptagon.<br />

Figure 2.3: Polygonal representation of a circle.

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