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Published in 2018 at "Journal of Optimization Theory and Applications"
DOI: 10.1007/s10957-018-1215-7
Abstract: In this paper, we introduce a new type of vector topical function. It contains some other categories of topical functions as special cases and can be interpreted as weak separation functions in image space analysis.…
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Keywords:
vector;
abstract convexity;
topical function;
space analysis ... See more keywords
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Published in 2018 at "Journal of Optimization Theory and Applications"
DOI: 10.1007/s10957-018-1248-y
Abstract: In the light, as said in Part I, of showing the main feature of image space analysis—to unify and generalize the several topics of optimization—we continue, in Part II, considering duality and penalization. In the…
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Keywords:
duality penalization;
space analysis;
part;
image space ... See more keywords
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Published in 2020 at "Journal of Optimization Theory and Applications"
DOI: 10.1007/s10957-019-01609-5
Abstract: In this paper, by virtue of the image space analysis, we investigate general scalar robust optimization problems with uncertainties both in the objective and constraints. Under mild assumptions, we characterize various robust solutions for different…
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Keywords:
robustness uncertain;
space analysis;
optimization;
image space ... See more keywords
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Published in 2019 at "Applied optics"
DOI: 10.1364/ao.58.002394
Abstract: Due to the high reflectivity of the resistor array in the target scene generator (TSG), the narcissus effect caused by the resistor array is notorious. Based on the paraxial analysis of the resistor array, the…
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Keywords:
telecentric structure;
structure image;
resistor array;
image space ... See more keywords