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To explore flexure shapes beyond traditional notch hinges and leaf springs, we present a general optimization method to find the optimal shapes for maximal rotation without yield.
The proposed heuristics are used to implement efficient algorithms that exhibit lower computational times as compared to general optimization solvers with negligible loss of optimality.
Solving the general optimization problem in order to generate the maximally informative input is computationally challenging.
The optimizing results are compared to that of the general optimization method and finite element method (FEM).
Given a predetermined number of sampled quanta within each measurement occasion, the general optimization problem above is reduced to the two-variable problem of identifying optimal values of n s and n d.
Two general optimization mechanisms are explored.
Along this line, two general optimization mechanisms are explored.
In the sequel, two general optimization mechanisms are explored.
In general, optimization techniques involve numerous repeated objective function evaluations.
Our method is based on the mirror descent method, which is a general optimization algorithm.
Crespo and Hendriks [21] proposed a multizone speech reinforcement method based on a general optimization framework.
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