PRISM
=====
Version: 4.5.dev
Date: Sat Mar 14 12:25:00 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 oscillators.8-10-0.1-1.prism oscillators.props --property power_consumption -const 'mu=0.1,lambda=1.0'
Parsing model file "oscillators.8-10-0.1-1.prism"...
Type: DTMC
Modules: oscillator_population
Variables: k_1 k_2 k_3 k_4 k_5 k_6 k_7 k_8 k_9 k_10
Parsing properties file "oscillators.props"...
2 properties:
(1) "time_to_synch": R{"time_to_synch"}=? [ F order_parameter>=lambda ]
(2) "power_consumption": R{"power_consumption"}=? [ F order_parameter>=lambda ]
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Model checking: "power_consumption": R{"power_consumption"}=? [ F order_parameter>=lambda ]
Model constants: mu=0.1,lambda=1
Warning: Switching to sparse engine and (backwards) Gauss Seidel (default for heuristic=speed).
Building model...
Model constants: mu=0.1,lambda=1
Computing reachable states...
Reachability (BFS): 2 iterations in 0.10 seconds (average 0.049500, setup 0.00)
Time for model construction: 49.686 seconds.
Type: DTMC
States: 24311 (1 initial)
Transitions: 76623
Transition matrix: 80638 nodes (438 terminal), 76623 minterms, vars: 40r/40c
Prob0: 15 iterations in 0.95 seconds (average 0.063400, setup 0.00)
Prob1: 1 iterations in 0.00 seconds (average 0.001000, setup 0.00)
goal = 2, inf = 0, maybe = 24309
Computing remaining rewards...
Engine: Sparse
Building sparse matrix... [n=24311, nnz=76621, compact] [397.7 KB]
Creating vector for diagonals... [dist=1, compact] [47.5 KB]
Creating vector for RHS... [dist=100, compact] [48.3 KB]
Allocating iteration vector... [189.9 KB]
TOTAL: [683.4 KB]
Starting iterations...
Backwards Gauss-Seidel: 1622 iterations in 0.84 seconds (average 0.000461, setup 0.10)
Value in the initial state: 0.006226690305500645
Time for model checking: 2.253 seconds.
Result: 0.006226690305500645 (value in the initial state)
Overall running time: 59.753 seconds.
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Note: There was 1 warning during computation.