Benchmark

non-incremental/QF_NRA/meti-tarski/Chua/1/VC1/L/Chua-1-VC1-L-chunk-0119.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
Size1065
Compressed Size618
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 unsat
Inferred Status unsat
Size 1057
Compressed Size618
Max. Term Depth16
Asserts 1
Declared Functions0
Declared Constants3
Declared Sorts 0
Defined Functions0
Defined Recursive Functions 0
Defined Sorts0
Constants0
Declared Datatypes0

Symbols

not3 and2 /8 +5
-3 *7 <=3

Evaluations

Evaluation Rating Solver Variant Result Wallclock CPU Time
SMT-COMP 2014 0.75 (1/4) CVC3 CVC3 default unknown ❌ 0.04473 0.03599
CVC4 CVC4 f7118b2 default unknown ❌ 0.00923 0.00600
raSAT raSAT-main-track-final default.sh unknown ❌ 0.01727 0.00400
Z3 Z3-4.3.2.a054b099c1d6-x64-debian-6.0.6-SMT-COMP-2014 default unsat ✅ 0.01521 0.00700
SMT-COMP 2015 0.50 (3/6) CVC3 CVC3 default unknown ❌ 0.03726 0.03699
CVC4 CVC4-master-2015-06-15-9b32405-main default unknown ❌ 0.01020 0.00800
CVC4-experimental-2015-06-15-ff5745a-main default unknown ❌ 0.01100 0.00900
raSAT raSAT default.sh unsat ✅ 2400.01000 2400.42000
SMT-RAT SMT-RAT-final default unknown ❌ 2400.01000 2400.81000
Yices2 Yices2-NL default unsat ✅ 0.00792 0.00200
Z3 z3 4.4.0 default unsat ✅ 0.03078 0.03099
SMT-COMP 2016 0.40 (3/5) CVC4 CVC4-master-2016-05-27-cfef263-main default unknown ❌ 0.01271 0.01085
raSAT raSAT 0.3 default.sh unknown ❌ 2400.02000 2401.17000
raSAT 0.4 exp - final default.py unknown ❌ 2400.04000 4817.70000
SMT-RAT SMT-RAT default unsat ✅ 0.07064 0.07060
Yices2 Yices-2.4.2 default unsat ✅ 0.01224 0.00300
Z3 z3-4.4.1 default unsat ✅ 0.03016 0.03151
SMT-COMP 2017 0.20 (4/5) CVC4 CVC4-smtcomp2017-main default unknown ❌ 600.00900 599.31100
SMT-RAT SMTRAT-comp2017_2 default unsat ✅ 0.01207 0.01132
veriT veriT+raSAT+Redlog default unsat ✅ 7.00274 19.43150
Yices2 Yices2-Main default unsat ✅ 0.01188 0.00342
Z3 z3-4.5.0 default unsat ✅ 0.03328 0.03145
SMT-COMP 2018 0.20 (4/5) CVC4 master-2018-06-10-b19c840-competition-default_default unknown ❌ 1200.09000 1195.87000
SMT-RAT SMTRAT-Rat-final_default unsat ✅ 0.01377 0.00550
SMTRAT-MCSAT-final_default unsat ✅ 0.01262 0.00549
veriT veriT+raSAT+Reduce_default unsat ✅ 0.15496 0.15570
Yices2 Yices 2.6.0_default unsat ✅ 0.01211 0.00603
Z3 z3-4.7.1_default unsat ✅ 0.03578 0.03571
SMT-COMP 2022 0.11 (8/9) cvc5 cvc5-default-2022-07-02-b15e116-wrapped_sq unsat ✅ 0.06066 0.06124
MathSAT MathSAT-5.6.8_default unknown ❌ 1200.04000 1199.90000
NRA-LS NRA-LS-FINAL_default unsat ✅ 0.04912 0.04922
Par4 Par4-wrapped-sq_default unsat ✅ 0.02956 0.00656
SMT-RAT SMT-RAT-MCSAT_default unsat ✅ 0.01840 0.00752
veriT veriT+raSAT+Redlog_default unsat ✅ 0.15488 0.15537
Yices2 Yices 2.6.2 for SMTCOMP 2021_default unsat ✅ 0.01559 0.01172
Z3 z3-4.8.17_default unsat ✅ 0.01841 0.02011
Z3++ z3++0715_default unsat ✅ 0.27813 0.27820
SMT-COMP 2023 cvc5 cvc5-default-2023-05-16-ea045f305_sq unsat ✅ 0.03005 0.03052
NRA-LS cvc5-NRA-LS-sq_default unsat ✅ 0.05310 0.05316
Par4 Par4-wrapped-sq_default unsat ✅ 0.01568 0.00733
SMT-RAT SMT-RAT-MCSAT_default unsat ✅ 0.01182 0.00809
Yices2 Yices 2 for SMTCOMP 2023_default unsat ✅ 0.01224 0.01040
Z3alpha z3alpha_default unsat ✅ 0.02224 0.02245
Z3++ z3++0715_default unsat ✅ 0.28186 0.28191
Z3++_sq_0526_default unsat ✅ 0.29434 0.29364
SMT-COMP 2024 0.20 (4/5) cvc5 cvc5 unsat ✅ 0.22452 0.12491
SMTInterpol SMTInterpol unknown ❌ 0.41117 0.41809
SMT-RAT SMT-RAT unsat ✅ 0.21574 0.11619
Yices2 Yices2 unsat ✅ 0.21920 0.11961
Z3alpha Z3-alpha unsat ✅ 0.27208 0.17242