Abstract
Chain and addition rules of subdifferential calculus are revisited in the paper and new proofs, providing local necessary and sufficient conditions for their validity, are presented. A new product rule pertaining to the composition of a convex functional and a Young function is also established and applied to obtain a proof of Kuhn-Tucker conditions in convex optimization under minimal assumptions on the data. Applications to plasticity theory are briefly outlined in the concluding remarks.
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The financial support of the Italian Ministry for University and Scientific and Technological Research is gratefully acknowledged.
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Romano, G. New results in subdifferential calculus with applications to convex optimization. Appl Math Optim 32, 213–234 (1995). https://doi.org/10.1007/BF01187900
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DOI: https://doi.org/10.1007/BF01187900