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An improved version of fractal branch and bound method has been proposed to optimize multiple stacking sequences.
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The fractal branch-and-bound method has been developed by the authors for stacking-sequence optimizations of symmetric and balanced composite laminates comprise of two in-plane and two out-of-plane lamination parameters.
In [4], the branch and bound heuristic method has been used to solve the reconfiguration problem with minimum power losses.
The amount of [H]PiB bound by this method has been shown to correlate highly with the total number of PiB-binding sites (i.e. the Bmax; r = 0.99) (Klunk et al., 2005) and, importantly, mimics the low nanomolar concentrations of radioactive PiB achieved in human brain during a PET study.
Theoretical calculations based on the density functional theory within Tight Binding Linear Muffin-tin Orbital (TBLMTO) method has been carried out to study the magnetic properties of cobalt doped GaN.
A methodology based on branch and bound (B&B), which is considered to be an exact method, has been proposed by Arthanari and Ramamurthy (1971) to solve FFSP.
In this study, a computational method has been developed using the branch and bound method.
This Complimentary Pairs Stability Selection (CPSS) method has been mathematically proved to provide an improved bound for the estimation error control.
This method has been shown to select sequences that are well bound by the H3/H4 tetramer but not necessarily by the full octamer.
This method has been tested and proven.
Significant practical improvements to the original dynamic programming method have been introduced, but they retain the O(n) worst-case time bound when n is the only problem-parameter used in the bound.
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