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Most of these methods depend on dynamic characteristics of structure.
All these methods depend on a landscape described in terms of patches, corridors and matrix.
It is often sought using trial-and-error methods, but these methods depend on experience of designers and workers.
These methods depend on the solution of two linear wave equations called the K and FW H equations.
944 (2001), 443), these methods depend on vascularization of void spaces within the tissue-construct or on the utilization of empty capillary networks by host vessels.
These methods depend on the purpose and type of observational data (e.g., Tsushima and Ohta 2014).
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However, success of these methods depends on assumptions and input parameters which must be representative for the rock mass.
It is found that the realistic performance of these methods depends on the specifics of the system, including incident energy and substrate size.
The relaxation parameter, ω, must be in the range 0 < ω < 2. Convergence of these methods depends on the iteration matrix, a matrix such that xk = Bxk − 1 + c.
The performance of parallel multi-threaded implementation variants of these methods depends on various factors only known at runtime, for example, the coupling structure of the ODE system to be solved, the memory access pattern resulting from this coupling structure, and the number of threads executing the program.
However, the performance of these methods depends on the features that are used.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com