Then, a mutual optimization approach is used to minimize the energy function.
Considering the variety of scales in the aforementioned challenges, and the fact that all must be processed by the same proteins, it would seem unlikely that a single phenotype would optimally prepare a population for all environments, potentially leading to performance trade-offs wherein mutual optimization of multiple tasks with a single phenotype is not possible.
In this article, a linear precoding matrix optimization algorithm, named gradient-aided mutual information optimization (GAMIO), is designed to maximize the secondary users' spectrum efficiency.
Though the parameterized iterative algorithm cannot directly be used in CR network because of the interference constraint, an algorithm, named branch and bound-aided mutual information optimization (BAMIO), was proposed in [14, 15] to optimize the precoding matrix in CR network.
We have proposed three different pilot allocation methods based on probability-based mutual coherence optimization for DCS-based MIMO relay channel estimation, as well.
Second, in the case of spectrum efficiency, a new algorithm based on the gradient-aided mutual information optimization (GAMIO) is proposed.
The structural image was co-registered to the mean image using mutual information optimization, and segmented into gray matter, white matter and cerebrospinal fluid.
In this study, we proposed a computational method, which combines nonlinear ordinary differential equation (ODE -based ODE -basedoptimizational information, to construct a cell-specific optimized IRN during IAV infection by integrating gene expression data with a prior knowledge of network topology.
Surface packing optimization requires preferential mutual orientation of headgroups, giving rise to trapped solid-disordered configurations.
We provide an overview of existing algorithms and their mutual interactions, we present promising optimization-based approaches to CAVs control and identify future challenges.
