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- 학술저널
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- 한국전산응용수학회 Journal of applied mathematics & computing Journal of applied mathematics & computing 제23권 제1호
- 발행연도
- 2007.1
- 수록면
- 361 - 367 (7page)
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In this paper we propose an implementable method for solving a nonsmooth convex optimization problem by combining Moreau-Yosida regularization, bundle and quasi-Newton ideas. The method we propose makes use of approximate subgradients of the objective function, which makes the method easier to implement. We also prove the convergence of the proposed method under some additional assumptions.
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