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Figure 7 Effect of partition refinement frequency on simulation time: For geometric model of random graph.
Figure 4 Resolving μ further: For geometric model of random graph.
Figure 6 Resolving μ further: For preferential attachment model of random graph.
Figure 3 Finding optimum balance between computation and communication costs: For geometric model of random graph.
A 3D model of random fibre networks developed by means of experimental information is presented.
Figure 11 Finding optimum balance between computation and communication costs: For preferential attachment model of random graph of 100 nodes.
Figure 8 Effect of partition refinement frequency on simulation time: For preferential attachment model of random graph.
Figure 5 Finding optimum balance between computation and communication costs: For preferential attachment model of random graph.
We discuss a physical model of random deposition of particles or fragments obeying a strict size hierarchy.
We present a computational process model of random generation that accounts for a broad range of these empirical effects.
A new model of random distribution of thin disks for describing the real structure of the sample is designed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com