Logic in AMPL
- Relational Operators
- Logical Operators
- Logical Expressions
- Conditional Expressions
- Conditional Structures
- Binary Parameters
Relational Operators
Relational operators are used to compare two expressions. They are most commonly used in
constraints, but not exclusively. The relational operators are:
Expression |
Meaning |
< |
Less than |
<= |
Less than or equal to |
> |
Greater than |
>= |
Greater than or equal to |
>= |
Equal to |
<> |
Not equal to |
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Logical Operators
Logical operators are used to combine
logical expressions. They are most commonly used in
conditional statements,
conditional structures and
conditional loops. The logical operators are
not
,
and
and
or
. They are used as shown in the table below:
Expression |
Result |
not <expression> |
True if <expression> is false, false if <expression> is true |
<e1> and <e2> |
True if <e1> and <e2> are both true, otherwise false |
<e1> or <e2> |
True if either <e1> or <e2> are true, otherwise false |
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Logical Expressions
Logical expressions are expressions that will evaluate to either true or false. Logical expressions are
usually defined in terms of the
relational operators:
Lower[r] <= sum {i in INGREDIENTS} Contributes[r, i] * Amount[i]
sum {s in SURFBOARDS} Recipe[m, s] * Production[s] <= Supply[m];
However, there are some special logical expressions in AMPL for use with
sets:
-
<e> in <SET>
is true if <e>
is a member of <SET>
;
- {\tt <e> not in <SET>} is false if
<e>
is a member of <SET>
;
-
exists {<e> in <SET>} <expression>
is true if some <e>
in <SET>
has <expression>
being true;
-
forall {<e> in <SET>} <expression>
is true if all <e>
in <SET>
have <expression>
being true;
-
<SUBSET> within <SET>
is true if all the elements in <SUBSET>
are in <SET>
;
-
<SUBSET> not within <SET>
is true if some element in <SUBSET>
is not in <SET>
.
Logical expressions can be built up from other logical expressions,
binary parameters and
logical operators.
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Conditional Expressions
A conditional expression is very much like the
IF
function in Microsoft Excel:
param ifvalue := if <some logical expression> then
<a value>
[else
<another value>];
If the logical expression is true then
ifvalue
will be set to
<a value>
, otherwise it is set to 0 (by default) or, if the else part of the expression is present,
<another value>
. Note that if the
else
keyword is present, then no
;
needs to be included after
<a value>
.
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Conditional Structures
A conditional structure is the same as the classical
if_-_then_-_else statement in programming languages like MATLAB, Fortran, Visual Basic and C++:
if <logical expression> then
<a statement>;
[else
<another statement>;]
Note here that even if the
else
keyword is present you need to end
<a statement>
with
;
. If you want to include more than one statement within the conditional structures you can use
{
and
}
to enclose your statements:
if <logical expression> then
{
<some statements>
}
[else
{
<some other statements>
}]
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Binary Parameters
In AMPL we can create
binary parameters by using the
binary
keyword in the parameter declaration:
param stillSearching binary;
Binary parameters are used in a similar way to boolean variables (in Matlab, C, etc) and logical variables (Fortran). If a binary parameter has the value 0 this is equivalent to false, and 1 is equivalent to true. Binary parameters can be used with
conditional expressions to hold a true/false result from a
logical expression:
param isGreater binary;
let isGreater := if 4 > 5 then 1 else 0; # isGreater = 0 (false)
let isGreater := if 6 > 5 then 1; # else 0 is the default, isGreater = 1 (true)
so the syntax is
let <binary parameter> := if <expression> then 1;
You can also set binary parameters within
conditional structures
binary <binary parameter>;
if <expression> then
let <binary parameter> := 1;
else
let <binary parameter> := 0;
Binary parameters may be used in
logical expressions or as the condition in a
conditional statement or
conditional structure. They are very useful for building complex conditional statements or structures:
Some example from depth first searching or column generation
and controlling
conditional loops:
Some example from depth first searching or column generation
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TWikiAdminGroup - 18 Mar 2008