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Objective: Aesthetics are important in algorithm design and graph evaluation.
Implemented fluid properties and other relevant information such oil/water and gas/oil relative permeabilities which required for graph evaluation are demonstrated in Table 2; Figs. 1 and 2. The oil on both sides of the supposed border line is initially considered identical eliminate its influence.
This approach is called the undirected graph evaluation (UGE).
This approach is called the directed graph evaluation (DGE).
Optimal curve fits were determined by visual graph evaluation and comparison of Aikake's information criteria (AIC) values [ 25].
The algorithm of probability graph evaluation based on possible world model has O(2| E |) of the best time complexity and O(2| E | * k!) of the worst time complexity (| E| is the number of edges in probability graphs).
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Fig. 4 Flow graph of evaluation process of a proposed solution.
We therefore generate 5 random test tasks, denoted by (D_T^1, ldots, D_T^5), by choosing some vertices with large degrees in the graph for evaluation purpose.
(2) Probability graph isomorphism evaluation based on the circuit simulation method.
The pseudocode of algorithm of probability graph isomorphism evaluation based on circuit simulation is shown in Table 1.
The next sections will introduce the method of probability graph isomorphism evaluation and the algorithm of two-step hierarchical clustering for discovering frequent probability subgraph.
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CEO of Professional Science Editing for Scientists @ prosciediting.com