X - UWSpace - University of Waterloo
X - UWSpace - University of Waterloo
X - UWSpace - University of Waterloo
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Chapter 2 Literature Review<br />
This chapter provides an overview <strong>of</strong> topics found in the literature which are related to<br />
this thesis. in the next section, a bief ~ view <strong>of</strong> decomposition methods for LPs is presentd The<br />
second section discusses the basic parallel computing concepts and methods. In section 3. the<br />
parailel computational tests and algorithm applied to decomposition methods are reviewed aiong<br />
with the description <strong>of</strong> their characteristics. The summary is given in the final section.<br />
2.1 An Oveniew <strong>of</strong> the Decomposition Methods<br />
Many decomposition schemes, such as Dantzig-Wolfe decomposition. Benders<br />
decomposition and cross decomposition by Van Roy, have ken developed to solve large-scde<br />
mathematical proCgamming problems. A new decomposi tion algorithm. cdled primal-dual<br />
decomposition. w u suggested by Lan and Fuller [1995aj. Ln this section. these aigonthms are<br />
briefly reviewed with extensions to the nested alprithm for multi-stages.<br />
Dantzig-Wolfe Decomposition Method<br />
h the decomposition method <strong>of</strong> Dantzig-Wolfe, the master problem determines an<br />
optimal combination <strong>of</strong> the proposds on hand subrnined by subproblems, by assigning values<br />
to the weights. The optimal duai variables. known as prices, are used to adjust the objective<br />
function in the subproblems which in tum may produce new proposais to improve the global<br />
objective function in the naster problem. This mechanisrn is <strong>of</strong>ien called the dual decomposition<br />
method.<br />
Dantzig [1963] applied this method in a hiervchical way to a four stage staircase mode1