Local structure and algorithms in nonsmooth optimization

Local structure and algorithms in nonsmooth optimization
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发表时间:
2005
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通讯作者:
A. Lewis;J. Burke;M. Overton
A. Lewis;J. Burke;M. Overton
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其他
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作者:
A. Lewis;J. Burke;M. Overton

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给定一个真实的δ,找到稳定的真实的多项式p和q,使得多项式r(s)=(s − 2δs + 1)p(s)+(s − 1)q(s)也是稳定的。(We称多项式p稳定,如果它的横坐标α(p)= max{Re s:p(s)= 0}是非正的。很明显,如果δ = 1,这个问题是不可解的,因为那时r(1)= 0;更精细的结果(在[7]中总结)表明,当δ < 1接近1时,它仍然是不可解的。Blondel为δ = 0.9的情况提供了1公斤比利时巧克力的奖励,这个问题通过[7]中的随机搜索解决。为了说明这次演讲的主题,我们首先概述(基于与D。Henrion)一个更系统的,优化的方法来解决巧克力问题。我们固定多项式p和q的次数(例如3),不失一般性地假设p是monic,并考虑由此产生的问题
Given a real δ, find stable real polynomials p and q such that the polynomial r(s) = (s − 2δs + 1)p(s) + (s − 1)q(s) is also stable. (We call a polynomial p stable if its abscissa α(p) = max{Re s : p(s) = 0} is nonpositive.) Clearly the problem is unsolvable if δ = 1, since then r(1) = 0; more delicate results (summarized in [7]) show it remains unsolvable for δ < 1 close to 1. Blondel offered a prize of 1kg of Belgian chocolate for the case δ = 0.9, a problem solved via randomized search in [7]. To illustrate the theme of this talk, we first outline (based on joint work with D. Henrion) a more systematic, optimization approach to the chocolate problem. We fix the degrees of the polynomials p and q (say 3, for example), without loss of generality suppose p is monic, and consider the resulting problem