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Planning and scheduling patient requests for examination tests is a complicated problem because it concerns both minimization of patient stay in hospital and maximization of laboratory resources utilization.
We study approximation of some well-known network design problems such as the traveling salesman problem (for both minimization and maximization versions) and the min steiner tree problem by moderately exponential algorithms.
Parameter estimation problems are solved here with PSO and it is shown that the PSO method is efficient for both minimization and construction of the confidence region of parameter estimates.
We prove that any graph excluding one of K5 or K3, 3 as a minor has local treewidth bounded by 3k + 4. As a result, we can design practical polynomial-time approximation schemes for both minimization and maximization problems on these classes of non-planar graphs.
To compare both minimization techniques (LSM and ANN), we have simulated the EFM shown in Figure 1b.
Thus, the possibility to excite in the NIR region allows for both minimization photo damage of biological specimens and maximization the penetration depth into the tissue of the excitation light.
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The RPATh method can be used for both minimizations and the MD simulations.
For calculating the gap for R 1, if we compare the right-hand sides (RHS) of (5) and (41), the second term in both minimizations is the same and the first terms differ by at most (frac {1}{2}) bit.
The methodology is optimization through stream power minimization both on the level of individual junctions and on the level of the entire network.
In this work the evaluation of both dust minimization effects is carried out.
Our approach, moreover, takes steps towards providing a unifying paradigm applicable to both submodular minimization and maximization, problems that historically have been treated quite distinctly.
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CEO of Professional Science Editing for Scientists @ prosciediting.com