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Table 15.3 Path definitions, target times, optimal path flows, optimal path time deviations, and
optimal lagrange multipliers for the numerical example
Path definition
x p *
z p *
ˉ p *
T kp
P R 1 : set of paths corresponding to demand
point R 1
p 1 ¼ (1, 5,
7, 9,13,15)
65
13.95 53.66 321.99
p 2 ¼ (1, 5,
7, 9,13,16)
64
5.28 39.23 235.39
p 3 ¼ (1, 5,
7,10,13,15)
61
0.00 19.32 115.90
p 4 ¼ (1, 5,
7,10,13,16)
60
0.00
4.83
28.99
p 5 ¼ (2, 6,
8,11,14,18)
61
0.06 18.67 112.03
p 6 ¼ (2, 6,
8,12,14,18)
64.5
6.79 43.12 258.75
p 7 ¼ (3, 9,13,15)
62
0.00 56.66 339.99
p 8 ¼ (3, 9,13,16)
61
0.00 42.23 253.39
p 9 ¼ (3,10,13,15)
58
0.00 22.34 134.05
p 10 ¼ (3,10,13,16)
57
0.00
7.84
47.03
p 11 ¼ (4,11,14,18)
59
0.00 20.71 124.24
p 12 ¼ (4,12,14,18)
62.5
0.00 45.24 271.46
P R 2 : set of paths corresponding to demand
point R 2
p 13 ¼ (1, 5,
7, 9,13,17)
63
0.00 13.87
83.25
p 14 ¼ (1, 5,
7,10,13,17)
59
0.00
0.00
0.00
p 15 ¼ (2, 6,
8,11,14,19)
59
0.13
0.00
0.00
p 16 ¼ (2, 6, 8,11,14,
20)
60
0.04
0.00
0.00
p 17 ¼ (2, 6,
8,12,14,19)
62.5
5.55 19.91 119.44
p 18 ¼ (2, 6, 8,12,14,
20)
63.5
7.45 22.40 134.43
p 19 ¼ (3, 9,13,17)
60
0.00 16.90 101.41
p 20 ¼ (3,10,13,17)
56
0.00
0.00
0.00
p 21 ¼ (4,11,14,19)
57
0.00
0.00
0.00
p 22 ¼ (4,11,14, 20)
58
0.00
0.00
0.00
p 23 ¼ (4,12,14,19)
60.5
0.00 21.96 131.77
p 23 ¼ (4,12,14, 20)
61.5
0.00 24.48 146.85
0
@
1
A ,
ʳ R 1 ðÞ¼ 3 X
p∈P R 1
ʳ R 2 ðÞ¼ 3 X
p∈P R 2
z p
z p
:
The Euler method (cf. ( 15.31 )-( 15.33 )) for the solution of variational inequality
( 15.24 ) was implemented in FORTRAN on a PC at the University of Massachusetts
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