PRISM

Benchmark
Model:haddad-monmege v.1 (DTMC)
Parameter(s)N = 100, p = 0.7
Property:exp_steps (exp-steps)
Invocation (default)
./fix-syntax ./prism -javamaxmem 11g -cuddmaxmem 4g -heuristic speed -e 1e-6 -maxiters 1000000 haddad-monmege.pm haddad-monmege.prctl --property exp_steps -const N=100,p=0.7
Execution
Walltime:4.637520790100098s
Return code:0
Note(s):The tool result '17647066885870933/10000000000' is tagged as incorrect. The reference result is '1901475900342344102245054808062' (approx. 1.901475900342344e+30) which means a relative error of '1.0' which is larger than the goal precision '0.001'.
Relative Error:1.0
Log
PRISM
=====

Version: 4.5.dev
Date: Sat Mar 14 12:13:56 UTC 2020
Hostname: e72bdd194fc5
Memory limits: cudd=4g, java(heap)=11g
Command line: prism -javamaxmem 11g -cuddmaxmem 4g -heuristic speed -e 1e-6 -maxiters 1000000 haddad-monmege.pm_fixed haddad-monmege.prctl_fixed --property exp_steps -const 'N=100,p=0.7'

Parsing model file "haddad-monmege.pm_fixed"...

Type:        DTMC
Modules:     main 
Variables:   x 

Parsing properties file "haddad-monmege.prctl_fixed"...

2 properties:
(1) "target": P=? [ F "Target" ]
(2) "exp_steps": R{"time_reward"}=? [ F "Done" ]

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Model checking: "exp_steps": R{"time_reward"}=? [ F "Done" ]
Model constants: N=100,p=0.7

Warning: Switching to sparse engine and (backwards) Gauss Seidel (default for heuristic=speed).

Building model...
Model constants: N=100,p=0.7

Computing reachable states...

Reachability (BFS): 101 iterations in 0.01 seconds (average 0.000109, setup 0.00)

Time for model construction: 0.033 seconds.

Type:        DTMC
States:      201 (1 initial)
Transitions: 400

Transition matrix: 131 nodes (5 terminal), 400 minterms, vars: 8r/8c

Prob0: 101 iterations in 0.02 seconds (average 0.000198, setup 0.00)

Prob1: 1 iterations in 0.00 seconds (average 0.000000, setup 0.00)

goal = 2, inf = 0, maybe = 199

Computing remaining rewards...
Engine: Sparse

Building sparse matrix... [n=201, nnz=398, compact] [1.8 KB]
Creating vector for diagonals... [dist=1, compact] [0.4 KB]
Creating vector for RHS... [dist=2, compact] [0.4 KB]
Allocating iteration vector... [1.6 KB]
TOTAL: [4.2 KB]

Starting iterations...

Backwards Gauss-Seidel: 1000000 iterations in 3.17 seconds (average 0.000003, setup 0.00)

Value in the initial state: 1764706.6885870933

Time for model checking: 3.887 seconds.

Result: 1764706.6885870933 (value in the initial state)


Overall running time: 4.473 seconds.

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Note: There was 1 warning during computation.