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A PARALLEL PRIMAL-DUAL DECOMPOSITIO
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The University of Waterloo requires
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WATPAR, and in each of the tests, t
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To Soyoung and Katherine Eugene Par
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3.5 Sumary and Observations on the
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Table 4 . I Table 5.1 Table 5.2 Tab
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Chapter 1 Introduction 1.1 Brief Hi
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1.2 Motivation and Objectives of th
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2. Pmve and dernonstrate the conver
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Chapter 2 Literature Review This ch
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Benders komposition Method In the B
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in this algorithm, both subproblems
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SIMD vs MIMD Panllel computers cm b
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apan. In mmy LAN's, communication i
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angular linear programs by fixing t
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Chapter 3 Paralle1 Decomposition of
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ound constraints. The two parts are
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constnicted in the sarne way by res
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1T 17 t-IT T nlk*'T )' and &'-' = (
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a proposal is passed back to the fi
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END - solve ; if it is infeasible o
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l, and Theorem 3. lb mles out the p
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nonlinking constraints and upper bo
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(The "only if* part) If P is infeas
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. - Thmm 3.6 Suppose (-ri. )Jik, VI
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the optimal value has ken reached.
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spfl, we have have k .J< k PI -1 -
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zi - $' 5 z+ - &J-[, and by Theorem
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Chapter 4 Paraiiel Decomposition of
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upper bound constraints and nonnega
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type subproblem. The lower bound su
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An algorithm could be defined to ex
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Figure 43 9-stage decomposition pri
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combinations of known solutions of
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lower bound subproblem (parts 1 and
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&.',* and CI::;, are a 1 x (i - 1)
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from the same aggregated subproblem
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problems is discussed. Various prop
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Processor 2 Step O. Set level I cou
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- update and solve spi ; record opt
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for the optimum by exchanging the p
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The next result guarantees that in
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fonn a nondecreasing senes of lower
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one upper bound subproblem. The alg
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- Page 91 and 92: with proposals or cuts from other s
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- Page 95 and 96: Proof : The Assumption guarantees t
- Page 97 and 98: nNk-'. Proof : For i= 1.2. ... . N
- Page 99 and 100: Chapter 5 Preliminary Implementatio
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- Page 103 and 104: NB,~,PEI 8 # Selectmg the rows ROWS
- Page 105 and 106: Figure 53 Example of multi-part str
- Page 107 and 108: in each computer as discussed in Ch
- Page 109 and 110: followiag 4 parts: scenarios 1 to 1
- Page 111 and 112: "WSET' is the time taken on the RSI
- Page 113 and 114: esults of the parallel decompositio
- Page 115 and 116: Table 5.6 Performance of Parailel D
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- Page 119 and 120: Chapter 6 Conclusions and Future Re
- Page 121 and 122: 8. tested several models for conver
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- Page 125 and 126: APPENDIX A GAMS codes of the test m
- Page 127 and 128: hydrA 25, ...., hydrZ 1s /; paramet
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- Page 131 and 132: hydrEI 1100, hydrB 1200, ..... hydr
- Page 133 and 134: VARIABLES En 'Expectation of the ut
- Page 135 and 136: APPENDIX B The C codes of WSET We p
- Page 137 and 138: k denoces an index of SubProblern t
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- Page 143 and 144: Appendiv C C codes of WATPAR We pre
- Page 145 and 146: if (LpSub [k] ->rwnmbs [pl > HISPb-
- Page 147 and 148: * Use advanced basis at each iterat
- Page 149 and 150: status = CPXnewcols (env,lp, 1, &Lp
- Page 151 and 152: TERMINATE : ..,. Free up the proble
- Page 153 and 154: short SolveProb(C3XEWptr env, CP.XL
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- Page 157 and 158: i* Add a cut for upper level iterat
- Page 159 and 160: C3 Proecssor 3 : Lower-Upper Bound
- Page 161 and 162: t for(k=l; k c icer-count; k+-1 sta
- Page 163 and 164: { gectimeofday(&tvl, (struct cimezo
- Page 165 and 166: i status = CPXchgcoef(env, lp, (int
- Page 167 and 168: status = AddLamcols ( LpSub, env, I
- Page 169 and 170: BIBLIOGRAPHY Aardal. K. And A. An.
- Page 171 and 172: Computation". Mathematical Programm