Open rwst opened 9 years ago
Description changed:
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This ticket collects tickets necessary to replace Maxima `solve` with a state-of-the-art SMT-solver. The interface will be the open SMT-LIB 2.0 and so there is a wide choice of packages of which Z3 certainly is the best at the moment.
+
+https://en.wikipedia.org/wiki/Satisfiability_modulo_theories
+http://smtlib.cs.uiowa.edu/papers/smt-lib-reference-v2.0-r10.12.21.pdf
+https://github.com/Z3Prover/z3
+https://github.com/smtrat/smtrat
+https://github.com/pysmt/pysmt
+
Description changed:
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@@ -1,4 +1,11 @@
This ticket collects tickets necessary to replace Maxima `solve` with a state-of-the-art SMT-solver. The interface will be the open SMT-LIB 2.0 and so there is a wide choice of packages of which Z3 certainly is the best at the moment.
+
+* #18999 - add assumptions on defined/hard-coded functions
+* - SMT-solver benchmark on typical solved and unsolved Sage problems
+* - SMT-LIB interface
+* - experimental SMT-solver package
+
+Pynac will have access to Sage assumptions with version 0.4.3 but the kind of solver is irrelevant with this.
https://en.wikipedia.org/wiki/Satisfiability_modulo_theories
http://smtlib.cs.uiowa.edu/papers/smt-lib-reference-v2.0-r10.12.21.pdf
Description changed:
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@@ -1,7 +1,7 @@
This ticket collects tickets necessary to replace Maxima `solve` with a state-of-the-art SMT-solver. The interface will be the open SMT-LIB 2.0 and so there is a wide choice of packages of which Z3 certainly is the best at the moment.
* #18999 - add assumptions on defined/hard-coded functions
-* - SMT-solver benchmark on typical solved and unsolved Sage problems
+* - SMT-solver benchmark on typical solved and unsolved (by Maxima) problems
* - SMT-LIB interface
* - experimental SMT-solver package
Description changed:
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@@ -8,7 +8,7 @@
Pynac will have access to Sage assumptions with version 0.4.3 but the kind of solver is irrelevant with this.
https://en.wikipedia.org/wiki/Satisfiability_modulo_theories
-http://smtlib.cs.uiowa.edu/papers/smt-lib-reference-v2.0-r10.12.21.pdf
+http://smtlib.cs.uiowa.edu/papers/smt-lib-reference-v2.5-r2015-06-28.pdf
https://github.com/Z3Prover/z3
https://github.com/smtrat/smtrat
https://github.com/pysmt/pysmt
Description changed:
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-This ticket collects tickets necessary to replace Maxima `solve` with a state-of-the-art SMT-solver. The interface will be the open SMT-LIB 2.0 and so there is a wide choice of packages of which Z3 certainly is the best at the moment.
+This ticket collects tickets necessary to strengthen Maxima `solve` with a state-of-the-art SMT-solver. The interface will be the open SMT-LIB 2.0 and so there is a wide choice of packages of which Z3 certainly is the best at the moment.
* #18999 - add assumptions on defined/hard-coded functions
* - SMT-solver benchmark on typical solved and unsolved (by Maxima) problems
Actually I overestimated the capabilities of SMT-solvers. While nice for proving unsat/sat they have no ready-made functionality for complex numbers and Z3 does not return the full solution set but example values that satisy the assertions. But maybe I do not understand how to get this(?).
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@@ -13,3 +13,4 @@
https://github.com/smtrat/smtrat
https://github.com/pysmt/pysmt
+Solving with SMT solvers rather means proving satisfiablity, in which they are very good. They also can give an example solution.
Description changed:
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@@ -7,10 +7,10 @@
Pynac will have access to Sage assumptions with version 0.4.3 but the kind of solver is irrelevant with this.
-https://en.wikipedia.org/wiki/Satisfiability_modulo_theories
-http://smtlib.cs.uiowa.edu/papers/smt-lib-reference-v2.5-r2015-06-28.pdf
-https://github.com/Z3Prover/z3
-https://github.com/smtrat/smtrat
-https://github.com/pysmt/pysmt
+* https://en.wikipedia.org/wiki/Satisfiability_modulo_theories
+* http://smtlib.cs.uiowa.edu/papers/smt-lib-reference-v2.5-r2015-06-28.pdf
+* https://github.com/Z3Prover/z3
+* https://github.com/smtrat/smtrat
+* https://github.com/pysmt/pysmt
Solving with SMT solvers rather means proving satisfiablity, in which they are very good. They also can give an example solution.
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@@ -9,6 +9,7 @@
* https://en.wikipedia.org/wiki/Satisfiability_modulo_theories
* http://smtlib.cs.uiowa.edu/papers/smt-lib-reference-v2.5-r2015-06-28.pdf
+* https://arxiv.org/abs/1607.06945
* https://github.com/Z3Prover/z3
* https://github.com/smtrat/smtrat
* https://github.com/pysmt/pysmt
SMT is quantifier elimination with booleans. Here one really needs quantifier elimination in other, more complicated, 1st order theories (pardon the logic terminology).
While algorithms are known how to do quantifier elimination with complex and reals (assuming the only functions involved are polynomials, otherwise it's harder, or even algorithmically unsolvable), there are not really any off the shelf OSS for this.
(Sage includes qepcad
to do this over reals, but it's not so easy to use and very slow).
Description changed:
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@@ -10,7 +10,7 @@
* https://en.wikipedia.org/wiki/Satisfiability_modulo_theories
* http://smtlib.cs.uiowa.edu/papers/smt-lib-reference-v2.5-r2015-06-28.pdf
* https://arxiv.org/abs/1607.06945
-* https://github.com/Z3Prover/z3
+* #33184: https://github.com/Z3Prover/z3
* https://github.com/smtrat/smtrat
* https://github.com/pysmt/pysmt
Description changed:
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@@ -10,8 +10,13 @@
* https://en.wikipedia.org/wiki/Satisfiability_modulo_theories
* http://smtlib.cs.uiowa.edu/papers/smt-lib-reference-v2.5-r2015-06-28.pdf
* https://arxiv.org/abs/1607.06945
-* #33184: https://github.com/Z3Prover/z3
* https://github.com/smtrat/smtrat
* https://github.com/pysmt/pysmt
Solving with SMT solvers rather means proving satisfiablity, in which they are very good. They also can give an example solution.
+
+Tickets:
+- #33162/#33183/#25374 cryptominisat/pycryptosat fix/update
+- #33184: https://github.com/Z3Prover/z3
+
+
This ticket collects tickets necessary to strengthen Maxima
solve
with a state-of-the-art SMT-solver. The interface will be the open SMT-LIB 2.0 and so there is a wide choice of packages of which Z3 certainly is the best at the moment.18999 - add assumptions on defined/hard-coded functions
Pynac will have access to Sage assumptions with version 0.4.3 but the kind of solver is irrelevant with this.
Solving with SMT solvers rather means proving satisfiablity, in which they are very good. They also can give an example solution.
Tickets:
33162/#33183/#25374 cryptominisat/pycryptosat fix/update
33184: https://github.com/Z3Prover/z3
CC: @kcrisman @nbruin @slel
Component: symbolics
Issue created by migration from https://trac.sagemath.org/ticket/19000