On the convergence of a regularized Jacobi algorithm for convex optimization
In this paper we consider the regularized version of the Jacobi algorithm, a block coordinate descent method for convex optimization with an objective function consisting of the sum of a differentiable function and a block-separable function. Under certain regularity assumptions on the objective fun...
| Main Authors: | , , |
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| Format: | Journal article |
| Published: |
Institute of Electrical and Electronics Engineers
2017
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