<p>The number of nodes is from 100 to 1000. Five random instances are generated based on each number of nodes. The x-axis indicates the number of nodes. The speedup on the y-axis is the ratio of BNS solver to proposed ST solver.</p
<p>Computational performance for randomly generated networks when 80% of the roads are blocked with ...
<p>Each value is the average time in seconds for 10 independent runs.</p><p>Comparison of the comput...
He number of compute nodes used in the analysis. The bar graphs at the bottom of each plot illustrat...
<p>The number of nodes is from 100 to 1000. Five random instances are generated based on each number...
<p>The proposed ST solver runs on a single core. The proposed MT solver runs on 2-core, 4-core and 8...
<p>The proposed ST solver runs on a single core. The proposed MT solver runs on 2-core, 4-core and 8...
<p>The simulation results for 3,600 randomly generated Boolean networks (BN) with maximum indegree <...
<p>Comparison of simulations using the CS algorithm with as cell-size threshold, with the pairwise ...
<p>The simulation results for 3,600 randomly generated Boolean networks (BN) with maximum indegree <...
<p>Distributions of nodes in A00 network mined by BTS method and Newman-fast algorithm.</p
Evaluating the Torontonian function is a central computational challenge in the simulation of Gaussi...
The uncertainty of running time of randomized algorithms provides a better opportunity for asynchron...
<p>Runtime analysis of the backtracking (brute force plus heuristic) () vs. the proposed parametric ...
<p>The last column shows the search tree reduction factors (STRF), i.e. the ratio of the number of n...
The table lists the theoretical complexity and run-time (in seconds) of the four methods, SMASH, SPA...
<p>Computational performance for randomly generated networks when 80% of the roads are blocked with ...
<p>Each value is the average time in seconds for 10 independent runs.</p><p>Comparison of the comput...
He number of compute nodes used in the analysis. The bar graphs at the bottom of each plot illustrat...
<p>The number of nodes is from 100 to 1000. Five random instances are generated based on each number...
<p>The proposed ST solver runs on a single core. The proposed MT solver runs on 2-core, 4-core and 8...
<p>The proposed ST solver runs on a single core. The proposed MT solver runs on 2-core, 4-core and 8...
<p>The simulation results for 3,600 randomly generated Boolean networks (BN) with maximum indegree <...
<p>Comparison of simulations using the CS algorithm with as cell-size threshold, with the pairwise ...
<p>The simulation results for 3,600 randomly generated Boolean networks (BN) with maximum indegree <...
<p>Distributions of nodes in A00 network mined by BTS method and Newman-fast algorithm.</p
Evaluating the Torontonian function is a central computational challenge in the simulation of Gaussi...
The uncertainty of running time of randomized algorithms provides a better opportunity for asynchron...
<p>Runtime analysis of the backtracking (brute force plus heuristic) () vs. the proposed parametric ...
<p>The last column shows the search tree reduction factors (STRF), i.e. the ratio of the number of n...
The table lists the theoretical complexity and run-time (in seconds) of the four methods, SMASH, SPA...
<p>Computational performance for randomly generated networks when 80% of the roads are blocked with ...
<p>Each value is the average time in seconds for 10 independent runs.</p><p>Comparison of the comput...
He number of compute nodes used in the analysis. The bar graphs at the bottom of each plot illustrat...
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