A full-programmable fuzzy processor is defined as a system where the set of rules, the membership functions, the t-norm, the t-conorm, the aggregation operator, the propagation operator, and the defuzzyfication algorithm can be defined by any valid algorithm.
An alternating decision tree algorithm can be defined as a sum of simple rules.
Similarly, assuming the sensing time of the CSS algorithms is mainly determined by the energy detection using the samples of the received signal at all the SUs, the sensing time of conventional CSS algorithm can be defined through a function of the number of the samples as T C SS = N s t 0, (23).
Dedekind also defined the concept of a Euclidean domain, a number system in which a generalized version of the Euclidean algorithm can be defined (as described below).
An algorithm can be defined as 'a formalized sequence of instructions for solving a complex problem in finite processing steps' [ 46].
If we define the 'active set',, as the set of non-null indices in the coefficient vector, their algorithm can be defined as a loop over four main steps: Predict: Starting with a known and : the next target value of λ, estimate using a piecewise linear approximation of, under the assumption that remains unchanged.
These algorithms can be defined as follows: Figure 9 Two-hop proposed mechanism block diagram.
Computer architectures that can execute sequences of instructions, conditional instructions, and loops are called "Turing complete," which means that they can carry out the execution of any algorithm that can be defined.
The two-step algorithm (2.1) can be defined in a hyperbolic space as: x n = W ( x n - 1, T n y n, α n ), y n = W ( x n, S n x n, β n ), n ≥ 1 (2.2).
This algorithm can be considered a variant of the RWR algorithm, since it was defined in the same formula as for RWR.
