Benchmark

non-incremental/QF_NRA/meti-tarski/polypaver/bench-sqrt-3d/polypaver-bench-sqrt-3d-chunk-0344.smt2 

These benchmarks used in the paper:

  Dejan Jovanovic and Leonardo de Moura.  Solving Non-Linear Arithmetic.
  In IJCAR 2012, published as LNCS volume 7364, pp. 339--354.

The meti-tarski benchmarks are proof obligations extracted from the
Meti-Tarski project, see:

  B. Akbarpour and L. C. Paulson. MetiTarski: An automatic theorem prover
  for real-valued special functions. Journal of Automated Reasoning,
  44(3):175-205, 2010.

Submitted by Dejan Jovanovic for SMT-LIB.
Benchmark
Size1369
Compressed Size671
License Creative Commons Attribution 4.0 International (CC-BY-4.0)
Categoryindustrial
First Occurrence2014-07-21
Generated By—
Generated On—
Generator—
Dolmen OK1
strict Dolmen OK1
check-sat calls1
Query 1
Status sat
Inferred Status sat
Size 1361
Compressed Size689
Max. Term Depth17
Asserts 1
Declared Functions0
Declared Constants3
Declared Sorts 0
Defined Functions0
Defined Recursive Functions 0
Defined Sorts0
Constants0
Declared Datatypes0

Symbols

not6 or5 and5 let2
/11 +11 -6 *22
<=6

Evaluations

Evaluation Rating Solver Variant Result Wallclock CPU Time
SMT-COMP 2014 0.75 (1/4) CVC3 CVC3 default unknown ❌ 0.26582 0.25796
CVC4 CVC4 f7118b2 default unknown ❌ 0.01808 0.00700
raSAT raSAT-main-track-final default.sh unknown ❌ 0.01770 0.00400
Z3 Z3-4.3.2.a054b099c1d6-x64-debian-6.0.6-SMT-COMP-2014 default sat ✅ 0.01596 0.00700
SMT-COMP 2015 0.50 (3/6) CVC3 CVC3 default unknown ❌ 0.18484 0.18397
CVC4 CVC4-master-2015-06-15-9b32405-main default unknown ❌ 0.01070 0.00900
CVC4-experimental-2015-06-15-ff5745a-main default unknown ❌ 0.01129 0.00900
raSAT raSAT default.sh sat ✅ 0.01231 0.01000
SMT-RAT SMT-RAT-final default unknown ❌ 2400.01000 2401.21000
Yices2 Yices2-NL default sat ✅ 0.00821 0.00200
Z3 z3 4.4.0 default sat ✅ 0.03138 0.02999
SMT-COMP 2016 0.20 (4/5) CVC4 CVC4-master-2016-05-27-cfef263-main default unknown ❌ 0.01249 0.01231
raSAT raSAT 0.3 default.sh sat ✅ 0.03346 0.03377
raSAT 0.4 exp - final default.py sat ✅ 0.03168 0.02530
SMT-RAT SMT-RAT default sat ✅ 0.01336 0.01334
Yices2 Yices-2.4.2 default sat ✅ 0.01185 0.00306
Z3 z3-4.4.1 default sat ✅ 0.03029 0.03157
SMT-COMP 2017 CVC4 CVC4-smtcomp2017-main default sat ✅ 0.01407 0.01358
SMT-RAT SMTRAT-comp2017_2 default sat ✅ 0.01266 0.01221
veriT veriT+raSAT+Redlog default sat ✅ 0.20253 0.21256
Yices2 Yices2-Main default sat ✅ 0.00756 0.00303
Z3 z3-4.5.0 default sat ✅ 0.03260 0.03201
SMT-COMP 2018 CVC4 master-2018-06-10-b19c840-competition-default_default sat ✅ 0.01366 0.01384
SMT-RAT SMTRAT-Rat-final_default sat ✅ 0.00922 0.00736
SMTRAT-MCSAT-final_default sat ✅ 0.00762 0.00732
veriT veriT+raSAT+Reduce_default sat ✅ 1.32386 1.32383
Yices2 Yices 2.6.0_default sat ✅ 0.01039 0.00600
Z3 z3-4.7.1_default sat ✅ 0.03576 0.03575
SMT-COMP 2022 0.11 (8/9) cvc5 cvc5-default-2022-07-02-b15e116-wrapped_sq sat ✅ 0.03331 0.03390
MathSAT MathSAT-5.6.8_default unknown ❌ 1200.03000 1200.00000
NRA-LS NRA-LS-FINAL_default sat ✅ 0.03054 0.03062
Par4 Par4-wrapped-sq_default sat ✅ 0.01880 0.00747
SMT-RAT SMT-RAT-MCSAT_default sat ✅ 0.02246 0.02007
veriT veriT+raSAT+Redlog_default sat ✅ 1.44969 1.44965
Yices2 Yices 2.6.2 for SMTCOMP 2021_default sat ✅ 0.01432 0.01150
Z3 z3-4.8.17_default sat ✅ 0.01912 0.02099
Z3++ z3++0715_default sat ✅ 0.28425 0.28431
SMT-COMP 2023 cvc5 cvc5-default-2023-05-16-ea045f305_sq sat ✅ 0.01976 0.02028
NRA-LS cvc5-NRA-LS-sq_default sat ✅ 0.03075 0.03080
Par4 Par4-wrapped-sq_default sat ✅ 0.01552 0.00754
SMT-RAT SMT-RAT-MCSAT_default sat ✅ 0.01049 0.00991
Yices2 Yices 2 for SMTCOMP 2023_default sat ✅ 0.01073 0.00992
Z3alpha z3alpha_default sat ✅ 0.02183 0.02207
Z3++ z3++0715_default sat ✅ 0.29083 0.29074
Z3++_sq_0526_default sat ✅ 0.29077 0.29086