Two types of computations were employed in this study: (1) calculation of concentrations and activities of dissolved species in diffuse fluids, and (2) calculation of affinities of potential catabolic reactions in these fluids.
Two types of computations are made in real-time: the tracking of electro-mechanical state (relative rotor phase angles and the angular speed deviations of the generators), and the diagnosis of faults using a multiple model approach.
Information flow planning based on the extended DSM is different from DSM, which involves four types of computation: merging, converting, partitioning and clustering.
Three types of computations (in boxes) are used: null-space basis analysis, connectivity analysis, and FVA analysis.
At current rates of progress, big, code-breaking quantum computers are at least a decade away, so the private sector is focusing on two types of quantum computation that are easier.
These two types of grammatical computation have been associated with two distinct left hemisphere architectures: L frontal operculum (FOP) and anterior STG for linear computations, and L BA 44/45 and posterior STG for the nonlinear ones [Friederici et al., 2006a; Friederici, 2011].
As well as the secure inner product computation (6), linear combinations of two types of packed ciphertexts can give several meaningful computations such as (see also our related work [21]) private statistic (e.g., sum and standard deviation), statistical analysis (e.g., covariance), and distances (e.g., the Hamming distance).
Their approach takes inspiration from neuroscience by using two types of synapses: short-term ones for computation and long-term ones for memory.
In this way, no explicit modeling errors are included in the computations (however, two types of noise are included), and also we know a priori approximately where the optimal position x QTL is located.
To alleviate the difficulties of the parameter tuning for the SRM control, three types of evolutionary computation methods are applied in the parameter optimization of the SRM, which include differential evolution (DE) algorithm, Big Bang Big Crunch (BBBC) algorithm and particle swarm optimization (PSO).
