The proposed method can be seen as an alternative to optimization approaches recently developed in the literature [23, 24] with a lower computational cost.
Because bootstrap analysis using ML is not computationally feasible for large data sets [ 85], we conducted a Bayesian analysis as an alternative employing optimization parameters similar to the nucleotide substitution model that we used for ML [ 86, 87].
Hence, we consider in our simulations in Section 6.3 also as an alternative to determinant optimization a simple per stream optimization: we apply (P3) or (P4) L u times to obtain beamformers that maximize the received power over the L u strongest specular components and we concatenate these beamformers to obtain the L u dimensional precoding matrix.
As an alternative, the robust optimization (RO) approach produces an uncertainty-immunized solution to an optimization problem with uncertain data.
Evolutionary methods such as genetic algorithms (GAs) and genetic programming (GP) are particularly suitable in problems for which conventional optimizers are inefficient or inappropriate, rather than simply as an alternative to conventional optimization.
The design method can be seen as an alternative to optimization-based control schemes such as Robust Model Predictive Control.
As an alternative to traditional optimization-based predictions, Daniela Calvetti (Case Western University, USA) presented a probabilistic extension of both kinetic and steady state models of metabolism that she introduced with her colleague E. Somersalo [ 21].
As an alternative to the classical optimization approaches, the meta-heuristics have been given much attention by many researchers due to their ability to find an almost global optimal solution in reliability redundancy optimization problems.
As an alternative to the classical optimization approaches, the meta-heuristics have been given much attention by many researchers due to their ability to find an almost global optimal solutions.
In the light of these considerations, a novel automated programmer-based method was developed as an alternative to the echocardiographic optimization.
Further efforts will thus concentrate on the development of a more flexible (modular) structure of the scheme, allowing e.g. the easy insertion of an alternative optimization scheme, such as non-linear conjugate gradients.
