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2006

A splitting method for stochastic programs

13 years 3 months ago
A splitting method for stochastic programs
This paper derives a new splitting-based decomposition algorithm for convex stochastic programs. It combines certain attractive features of the progressive hedging algorithm of Rockafellar and Wets, the dynamic splitting algorithm of Salinger and Rockafellar and an algorithm of Korf. We give two derivations of our algorithm. The first one is very simple, and the second one yields a preconditioner that resulted in a considerable speed-up in our numerical tests.
Teemu Pennanen, Markku Kallio
Added 10 Dec 2010
Updated 10 Dec 2010
Type Journal
Year 2006
Where ANOR
Authors Teemu Pennanen, Markku Kallio
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