[Help-glpk] Addional attributes of variables - Suffixes in AMPL

[xypron]

Hello Andrew,

>> Yes. Ampl allows specifying an initial estimation of variables in the
>> same way as computable values for parameters, e.g.
>>
>> var x, >= 0, <= 10, := 3.14159;
>> 
>> Such data are useless for the simplex solver, however, it can be passed
>> to the mip solver (to specify some integer feasible solution) or to the
>> interior-point solver (to specify a point to start the search from). So
>> it is reasonable to implement this feature in Mathprog.
>> 
>> For mip models there might be additional attributes of variables and
>> constraints, for example, branching priority, etc.

The "ILOG AMPL CPLEX System, Version 11.0, User’s Guide"
http://www.ampl.com/BOOKLETS/amplcplex110userguide.pdf
chapter 9, provides an overview which suffixes are supported in AMPL in
conjunction with cplex.

Variables have the following inbound suffixes
.direction is used to specify the branching direction
.priority is used to set the branching priority

Example:
suffix priority IN,integer,>=0,<=9999; # define suffix and value range
suffix direction IN,integer,>=-1,<= 1; # define suffix an value range
let {i in I, j in J} a[i,j].priority := sum {p in P} d[j,p]; # set suffix
let a[0,1].direction := -1; # set suffix

Variables have the following outbound suffixes:
.up
.down
.current

These indicate the current coefficient in the objective function and the
range in which changing the coefficient would leave the current solution
optimal.

.iis - indicates if a variable constraint renders the problem infeasible and
how much the right hand side should be changed to make the problem feasible

Constraints have an inbound suffix
.lazy - which makes the constraint a lazy constraint handled in a special
way by the solver

A directive 'lazy' is provided to set how the value of the suffix .lazy is
to be used.

Constraints have the following outbound suffixes:
.up
.down
.current

These indicate the current right hand side of the constraint and the range
in which changing the coefficient would leave the current solution optimal.

.iis - indicates if the constraint renders the problem infeasible and how
much the right hand side should be changed to make the problem infeasible

The objective function can have the following suffix:
.bestnode - which will cause the solver return the best node instead of the
best feasible solution

Best regards

Xypron
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