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Following dose optimization, subjects entered the 2-week double-blind treatment period.
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This problem is formulated as a fixed point optimization subject to fuzzy constraints.
This network design problem can be formulated as a constrained optimization subject to equilibrium flows.
An optimization subject solution can be suppose as factor i.e. firefly which glows in proportion to its type.
This paper focuses on a class of nonlinear optimization subject to linear inequality constraints with unavailable-derivative objective functions.
The optimization subject is of great importance in tall building design that usually requires high material usage.
Both are capable of spectral optimization subject to physically motivated constraints such as implementing target qubit rotations.
In this comparison case, we do the 24-hour optimization subjected to the same objective, based on all the forecasted data.
The first one is unconstrained optimization and the two other cases are constrained optimization subjected to the flexural stiffness and the elastic modulus constraints.
In this paper, a one-layer recurrent network is proposed for solving a non-smooth convex optimization subject to linear inequality constraints.
The numerical difficulties of the acoustic optimization subject to an acoustic constraint, when structural boundary conditions are imposed on the velocity profiles with the finite element solution, have been discussed in this paper.
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