| Michael C. Ferris. MATLAB and GAMS interfacing optimization and visualization soft ware. Technical Report Mathematical Programming Technical Report 98-19, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, 1998. |
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Michael C. Ferris. MATLAB and GAMS interfacing optimization and visualization soft ware. Technical Report Mathematical Programming Technical Report 98-19, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, 1998.
....encountered for similar problems by Baggio and Trovalusci [13] The collapse mechanisms extracted from the nonassociated MPEC solutions are shown in Figs. 3 8. These plots (as well as visual checks of input GAMS data) were carried out within MATLAB using a recently developed GAMS MATLAB link [31]. This useful facility enables MATLAB users to access the optimization capabilities of GAMS, and allows visualization of GAMS models directly within MATLAB. 6 Conclusions This paper is concerned with an important and difficult class of limit analysis problems involving rigid block assemblages in ....
Ferris, M.C. MATLAB and GAMS: interfacing optimization and visualization software. Technical Report TR98-19, Computer Sciences Department, University of Wisconsin, Madison. LIST OF FIGURES Fig. 1 Typical block assemblage. Fig. 2 Limit surfaces for sliding and rocking.
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M. C. Ferris, MATLAB and GAMS: Interfacing optimization and visualization software, Technical report, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, 1998.
No context found.
M. C. Ferris, MATLAB and GAMS: Interfacing optimization and visualization software, Technical report, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, 1998.
....of length 1,2,2,4,4,8 that partition the movie into disjoint time intervals. Specifically, the segment of length 1 corresponds to (movie) time interval [0,1] the first segment of length 2 corresponds to the next time interval [1,3] the second segment of length 2 corresponds to time interval [3,5], etc. The total time for the movie is thus 21=1 2 2 4 4 8 units as measured in these units. A customer who arrives before the first segment is played receives (and plays) the movie by acquiring all segments of the yellow multicasts, which correspond to all of the disjoint time intervals of the ....
....i = 1. These figures were 20 40 60 80 100 0 20 40 60 80 100 object number percentage stored regionally (a) Cost = 453.25 20 40 60 80 100 0 20 40 60 80 100 object number (b) Cost = 451.60 (optimal) Figure 2: Solution Visualization for hetvod1 produced using the GAMS MATLAB interface described in [5]. We also show how the lower and upper bounds for a particular problem instance vary over time in Figure 3. These bounds were generated using the default options of CPLEX on (1) for the problem data hvod1. 0 2000 4000 6000 8000 10000 12000 14000 16000 18000 20000 67.5 68 68.5 69 nodes expanded ....
M. C. Ferris. MATLAB and GAMS: Interfacing optimization and visualization software. Mathematical Programming Technical Report 98-19, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, 1998.
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