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Exact(2)
which can be easily solved by using a standard bisection method.
Then the proposed method estimates the optimal value of by using a standard bisection procedure, and the optimal vectors are calculated for several values of to select maximizing (13), where is a step size and determines the search range of.
Similar(58)
The findings have relevant theoretical implications as well as important implications for the clinical assessment of unilateral neglect using a standard line bisection task, both of which are discussed.
The proof of Proposition 3 is similar to the proof of Proposition 2 in Appendix 2. Again, the solution to the problem (40)–(43) can be obtained by using a conventional bisection algorithm.
The problem in (57) is a quasi-convex problem[30], which can be solved by using a bisection search method.
It is shown that the resultant problem can be approximately formulated as a quasi-convex problem and can be solved by using a bisection search method.
See Appendix 2. Based on Proposition 2, the solution to the problem (40)–(43) can be obtained by using a bisection search algorithm.
Optimal trees were searched for by using a tree-bisection-reconnection heuristic search strategy.
By using a bisection-type technique, one can find an approximate solution for Q to the equation.
In details, we compute the outward unit normal vector (boldsymbol {n}_{G}) by discretizing Eq. (16) on G using a standard finite-difference scheme; then we apply the bisection method to solve the 1D nonlinear equation (phi(B =0) on the segment between points G and (G_{1} = G-sqrt{2}, h, boldsymbol {n}_{G}), with h being the spatial step.
using a standard sizing gradient.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com