
Summary: We present two parallel multiplicative algorithms for convex programming. If the objective function has compact level sets and has a locally Lipschitz continuous gradient, we discuss convergence of the algorithms. The proofs are essentially based on the results of sequential methods shown by \textit{P. P. B. Eggermont} [Linear Algebra Appl. 130, 25-42 (1990; Zbl 0715.65037)].
Convex programming, compact level sets, locally Lipschitz continuous gradient, parallel multiplicative algorithms, Parallel numerical computation
Convex programming, compact level sets, locally Lipschitz continuous gradient, parallel multiplicative algorithms, Parallel numerical computation
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