FICO Xpress Optimization Examples Repository: Output formatting for a transportation model

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Output formatting for a transportation model

Description

small LP problem
generate a nice printed output
using dynamic arrays for representing sparse data structures
reading several data arrays from a single data file

Further explanation of this example: 'Mosel User Guide', Section 3.2 A transport example and Section 10.1 Producing formatted output.

The section 'Traditional embedding: solving multiple scenarios' of the Xpress Whitepaper 'Embedding Optimization Algorithms' describes how to embed a similar transportation model into an application.

transport.zip

[download all files]

Source Files

By clicking on a file name, a preview is opened at the bottom of this page.

transprt.mos	[download]
transport_insight.mos	[download]
transportdata.vdl	[download]
transportcustsel.vdl	[download]
transportres.vdl	[download]
transportressum.vdl	[download]
transport_insight.xml	[download]
transport_graph.mos	[download]
transport_insight.mos	[download]
transportdata.vdl	[download]
transportcustsel.vdl	[download]
transportres.vdl	[download]
transportressum.vdl	[download]
transport_insight.xml	[download]

Data Files

transprt.dat	[download]
transport_insight.zip	[download]

transprt.dat

! Data file for 'transprt.mos'

DEMAND: [ (Scotland) 2840 (North) 2800 (SWest) 2600
          (SEast) 2820 (Midlands) 2750 ]

PlantCapCost: [
(Corby)   [ 3000 1700 ]
(Deeside) [ 2700 1600 ]
(Glasgow) [ 4500 2000 ]
(Oxford)  [ 4000 2100 ]
]

DistTCasp: [
(Corby   Scotland) [   0    0 ]
(Corby   North)    [ 400 1000 ]
(Corby   SWest)    [ 400 1000 ]
(Corby   SEast)    [ 300 1000 ]
(Corby   Midlands) [ 100 2000 ]
(Deeside Scotland) [ 500 1000 ]
(Deeside North)    [ 200 2000 ]
(Deeside SWest)    [ 200 1000 ]
(Deeside SEast)    [ 200 1000 ]
(Deeside Midlands) [ 400  300 ]
(Glasgow Scotland) [ 200 3000 ]
(Glasgow North)    [ 400 2000 ]
(Glasgow SWest)    [ 500 1000 ]
(Glasgow SEast)    [ 900  200 ]
(Glasgow Midlands) [   0    0 ]
(Oxford  Scotland) [ 800    0 ]
(Oxford  North)    [ 600 2000 ]
(Oxford  SWest)    [ 300 2000 ]
(Oxford  SEast)    [ 200 2000 ]
(Oxford  Midlands) [ 400  500 ]
]

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