DUAL METHODS IN ENTROPY MAXIMIZATION. APPLICATION TO SOME PROBLEMS IN CRYSTALLOGRAPHY

被引:36
作者
Decarreau, Andree [1 ]
Hilhorst, Danielle [2 ,3 ]
Lemarechals, Claude [4 ]
Navaza, Jorge [5 ]
机构
[1] Univ Poitiers, Dept Math, F-86022 Poitiers, France
[2] CNRS, Lab Anal Numer, F-91405 Orsay, France
[3] Univ Paris 11, F-91405 Orsay, France
[4] Inst Natl Rech Informat & Automat, F-78153 Le Chesnay, France
[5] Univ Paris 11, Ctr Pharmaceut, F-92290 Chatenay Malabry, France
关键词
entropy maximization; image reconstruction; applications; large-scale problems; duality; decomposition;
D O I
10.1137/0802010
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper is devoted to some infinite-dimensional optimization problems with finitely many constraints. These deal with entropy maximization, and this paper is particularly concerned with those originating from Fourier analysis. These problems have a structure that makes them amenable to dual methods, for theoretical as well as numerical solutions. Existence results are recalled, and the use of duality to construct suitable and efficient optimization algorithms is demonstrated. Finally, the so-called phase-problem of crystallographers, which is of crucial importance in biology and pharmacology, is studied. Although it is a nonconvex optimization problem, a solution algorithm also based on duality is proposed and some numerical illustrations are given.
引用
收藏
页码:173 / 197
页数:25
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