The DTC (difference of tangentially convex functions) programming: optimality conditions-Reference-Cited by-同舟云学术

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The DTC (difference of tangentially convex functions) programming: optimality conditions

Published:2021-08-06 Issue: Volume: Page:
ISSN:1134-5764
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language:en
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Author:

Mashkoorzadeh F.,Movahedian N.,Nobakhtian S.

Publisher

Springer Science and Business Media LLC

Subject

Discrete Mathematics and Combinatorics,Statistics and Probability,Management Science and Operations Research,Information Systems and Management,Modeling and Simulation

Link

https://link.springer.com/content/pdf/10.1007/s11750-021-00615-z.pdf

Reference41 articles.

1. Ahn M, Pang JS, Xin J (2017) Difference-of-convex learning: directional stationarity, optimality, and sparsity. SIAM J Optim 27(3):1637–1665

2. Astorino A, Fuduli A, Gaudioso M (2012) Margin maximization in spherical separation. Comput Optim Appl 53:301–322

3. Bagirov AM, Ugon J (2018) Nonsmooth DC programming approach to clusterwise linear regression: optimality conditions and algorithms. Optim Method Softw 33:194–219

4. Bagirov AM, Taheri S, Ugon J (2016) Nonsmooth DC programming approach to the minimum sum-of-squares clustering problems. Pattern Recongnit 53:12–24

5. Bazaraa MS, Sherali HD, Shetty CM (2006) Nonlinear programming: theory and algorithms, 3rd edn. Wiley, NewYork

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