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Applied Interval Analysis
At the core of many engineering problems is the solution of sets of equa tions and inequalities, and the optimization of cost functions. Unfortunately, except in special cases, such as when a set of equations is linear in its un knowns or when a convex cost function has to be minimized under convex constraints, the results obtained by conventional numerical methods are only local and cannot be guaranteed.
This means, for example, that the actual global minimum of a cost function may not be reached, or that some global minimizers of this cost function may escape detection. By contrast, interval analysis makes it possible to obtain guaranteed approximations of the set of all the actual solutions of the problem being considered.
This, together with the lack of books presenting interval techniques in such a way that they could become part of any engineering numerical tool kit, motivated the writing of this book.
The adventure started in 1991 with the preparation by Luc Jaulin of his PhD thesis, under Eric Walters supervision. It continued with their joint supervision of Olivier Didrits and Michel Kieffers PhD theses. More than two years ago, when we presented our book project to Springer, we naively thought that redaction would be a simple matter, given what had already been achieved.
Publisher: Springer; Softcover reprint of the original 1st ed. 2001 edition (August 30, 2012)
Language: English
ISBN-10: 1447110676
ISBN-13: 978-1447110675
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