000201988 001__ 201988
000201988 005__ 20190317000014.0
000201988 020__ $$a978-3-9524269-1-3
000201988 02470 $$2ISI$$a000349955702130
000201988 0247_ $$a10.1109/ECC.2014.6862635$$2doi
000201988 037__ $$aCONF
000201988 245__ $$aSplitting methods in control
000201988 260__ $$c20142014$$bIEEE$$aNew York
000201988 269__ $$a20142014
000201988 300__ $$a6
000201988 336__ $$aConference Papers
000201988 520__ $$aThe need for optimal control of processes under a restricted amount of resources renders first order optimization methods a viable option. Although computationally cheap, these methods typically suffer from slow convergence rates. In this work we discuss the family of first order methods known as decomposition schemes. We present three popular methods from this family, draw the connections between them and report all existing results that enable acceleration in terms of the convergence rate. The approach for splitting a problem into simpler ones so that the accelerated variants can be applied is also discussed and demonstrated via an example.
000201988 700__ $$g202176$$aStathopoulos, Georgios$$0246831
000201988 700__ $$g231397$$aSzücs, Alexander$$0246927
000201988 700__ $$g211469$$aPu, Ye$$0246473
000201988 700__ $$g207237$$aJones, Colin$$0246471
000201988 7112_ $$dJune 24-27 2014$$cStrasbourg, France$$a13th European Control Conference
000201988 773__ $$q2478-2483$$t2014 European Control Conference (ECC)
000201988 8564_ $$uhttps://infoscience.epfl.ch/record/201988/files/survey_ECC14_short_final.pdf$$zn/a$$s156976$$yPreprint
000201988 8564_ $$uhttps://infoscience.epfl.ch/record/201988/files/survey_ECC14_short_final.gif?subformat=icon$$zn/a$$s3128$$xicon$$yPreprint
000201988 8564_ $$uhttps://infoscience.epfl.ch/record/201988/files/survey_ECC14_short_final.jpg?subformat=icon-180$$zn/a$$s2927$$xicon-180$$yPreprint
000201988 8564_ $$uhttps://infoscience.epfl.ch/record/201988/files/survey_ECC14_short_final.jpg?subformat=icon-700$$zn/a$$s209904$$xicon-700$$yPreprint
000201988 8560_ $$fgeorgios.stathopoulos@epfl.ch
000201988 909C0 $$xU12397$$0252490$$pLA3
000201988 909CO $$qGLOBAL_SET$$pconf$$ooai:infoscience.tind.io:201988$$pSTI
000201988 917Z8 $$x211469
000201988 937__ $$aEPFL-CONF-201988
000201988 973__ $$rREVIEWED$$aEPFL
000201988 980__ $$aCONF