For a class of infinite-dimensional minimization problems with nonlinear equality constraints, an iterative algorithm for finding global solutions is suggested. A key assumption is the convexity of the ''epigraph'', a set in the product of the image spaces of the constraint and objective functions. A convexification method involving randomization is used. The algorithm is based on the extremal shift control principle due to N.N. Krasovskii. An application to a problem of optimal control for a bilinear control system is described.
@article{bwmeta1.element.bwnjournal-article-amcv11i4p773bwm, author = {Kryazhimskii, Arkadii}, title = {Optimization problems with convex epigraphs. Application to optimal control}, journal = {International Journal of Applied Mathematics and Computer Science}, volume = {11}, year = {2001}, pages = {773-801}, zbl = {1012.49005}, language = {en}, url = {http://dml.mathdoc.fr/item/bwmeta1.element.bwnjournal-article-amcv11i4p773bwm} }
Kryazhimskii, Arkadii. Optimization problems with convex epigraphs. Application to optimal control. International Journal of Applied Mathematics and Computer Science, Tome 11 (2001) pp. 773-801. http://gdmltest.u-ga.fr/item/bwmeta1.element.bwnjournal-article-amcv11i4p773bwm/
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