Research Article
Predicting Spread Probability of Learning-Effect Computer Virus
Algorithm 4
1-lag_Temporal_Vector (X).
(i) | STEP L0. Let FLAG(V) = false for all V ∈ V, FLAG(TARGET) = true, t = 1, L0 = {TARGET}, and L1 = ∅. | (ii) | STEP L1. Let Tu = t, FLAG(u) = true, and Lt = Lt ∪ {u}, where for all L(Xu) = v, for all v ∈ Lt-1, and FLAG(u) = false. | (iii) | STEP L2. If Lt = ∅, halt and return the information that X is infeasible. | (iv) | STEP L3. If FLAG(v) = true for all v ∈ V, halt and return the information that X is feasible. | (v) | STEP L4. Let t = t + 1, Lt = ∅, and go to STEP L1. |
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