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A combined optimization approach is designed to solve the α-optimistic model.
Spath and McCants (1997) studied waterflood optimization using a combined geostatistical 3D streamline approach.
Finally, a subgraph (specifically a forest) is extracted from this graph using a discrete optimization approach.
Subject-specific skeletal anatomy was fitted to dynamic functional joint axes and centers (31, 32), using a global optimization approach.
This problem is solved using a least squares optimization approach.
The methodology used a simulation-optimization approach to combine an optimization technique with two simulation software programs in order to determine the cost optimal design solution.
We used somewhat a combined approach.
These RORs were then combined using a meta-analytic approach.
The estimated DOAs are then combined using a least-squares optimization method for source localization.
An optimization procedure, using a linear programming approach and requiring the use of two models (an evaluation and an optimization model), was developed.
A hybrid method that combines the optimization approach with the Green function technique is used to solve the inverse problem of the transport equation.
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