122 lines
3.9 KiB
Markdown
122 lines
3.9 KiB
Markdown
Constraint Logic Programming over Rationals and Reals {#clpqr}
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=====================================================
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YAP now uses the CLP(R) package developed by <em>Leslie De Koninck</em>,
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K.U. Leuven as part of a thesis with supervisor Bart Demoen and daily
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advisor Tom Schrijvers, and distributed with SWI-Prolog.
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This CLP(R) system is a port of the CLP(Q,R) system of Sicstus Prolog
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and YAP by Christian Holzbaur: Holzbaur C.: OFAI clp(q,r) Manual,
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Edition 1.3.3, Austrian Research Institute for Artificial
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Intelligence, Vienna, TR-95-09, 1995,
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<http://www.ai.univie.ac.at/cgi-bin/tr-online?number+95-09> This
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port only contains the part concerning real arithmetics. This manual
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is roughly based on the manual of the above mentioned *CLP(QR)*
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implementation.
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Please note that the clpr library is <em>not</em> an
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`autoload` library and therefore this library must be loaded
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explicitely before using it:
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~~~~~
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:- use_module(library(clpr)).
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~~~~~
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### Solver Predicates {#CLPQR_Solver_Predicates}
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The following predicates are provided to work with constraints:
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### Syntax of the predicate arguments {#CLPQR_Syntax}
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The arguments of the predicates defined in the subsection above are
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defined in the following table. Failing to meet the syntax rules will
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result in an exception.
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~~~~~
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<Constraints> ---> <Constraint> \ single constraint \
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| <Constraint> , <Constraints> \ conjunction \
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| <Constraint> ; <Constraints> \ disjunction \
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<Constraint> ---> <Expression> {<} <Expression> \ less than \
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| <Expression> {>} <Expression> \ greater than \
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| <Expression> {=<} <Expression> \ less or equal \
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| {<=}(<Expression>, <Expression>) \ less or equal \
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| <Expression> {>=} <Expression> \ greater or equal \
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| <Expression> {=\=} <Expression> \ not equal \
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| <Expression> =:= <Expression> \ equal \
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| <Expression> = <Expression> \ equal \
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<Expression> ---> <Variable> \ Prolog variable \
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| <Number> \ Prolog number (float, integer) \
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| +<Expression> \ unary plus \
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| -<Expression> \ unary minus \
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| <Expression> + <Expression> \ addition \
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| <Expression> - <Expression> \ substraction \
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| <Expression> * <Expression> \ multiplication \
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| <Expression> / <Expression> \ division \
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| abs(<Expression>) \ absolute value \
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| sin(<Expression>) \ sine \
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| cos(<Expression>) \ cosine \
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| tan(<Expression>) \ tangent \
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| exp(<Expression>) \ exponent \
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| pow(<Expression>) \ exponent \
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| <Expression> {^} <Expression> \ exponent \
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| min(<Expression>, <Expression>) \ minimum \
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| max(<Expression>, <Expression>) \ maximum \
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~~~~~
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### Use of unification {#CLPQR_Unification}
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Instead of using the `{}/1` predicate, you can also use the standard
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unification mechanism to store constraints. The following code samples
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are equivalent:
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+ Unification with a variable
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~~~~~
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{X =:= Y}
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{X = Y}
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X = Y
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~~~~~
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+ Unification with a number
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~~~~~
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{X =:= 5.0}
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{X = 5.0}
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X = 5.0
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~~~~~
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#### Non-Linear Constraints {#CLPQR_NonhYlinear_Constraints}
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In this version, non-linear constraints do not get solved until certain
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conditions are satisfied. We call these conditions the _isolation_ axioms.
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They are given in the following table.
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~~~~~
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A = B * C when B or C is ground or // A = 5 * C or A = B * 4 \\
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A and (B or C) are ground // 20 = 5 * C or 20 = B * 4 \\
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A = B / C when C is ground or // A = B / 3
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A and B are ground // 4 = 12 / C
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X = min(Y,Z) when Y and Z are ground or // X = min(4,3)
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X = max(Y,Z) Y and Z are ground // X = max(4,3)
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X = abs(Y) Y is ground // X = abs(-7)
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X = pow(Y,Z) when X and Y are ground or // 8 = 2 ^ Z
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X = exp(Y,Z) X and Z are ground // 8 = Y ^ 3
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X = Y ^ Z Y and Z are ground // X = 2 ^ 3
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X = sin(Y) when X is ground or // 1 = sin(Y)
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X = cos(Y) Y is ground // X = sin(1.5707)
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X = tan(Y)
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~~~~~
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