The phrase "algorithm variables" is correct and usable in written English.
It can be used in contexts related to programming, data analysis, or mathematical modeling where variables are defined within an algorithm.
Example: "In this study, we will analyze the impact of various algorithm variables on the performance of the machine learning model."
Alternatives: "variables in the algorithm" or "algorithmic variables".
A summary of variables is given in Table 4 and the complete algorithm is shown in Algorithm 2. Table 4 Hybrid algorithm variables.
Fist, we sum up the number of variables introduced at the line ?? of Algorithm ??: variables a i,j : q+1 valuations times n atomic propositions; variables b i,j : q+1 valuations times 3q atomic propositions in Ψ; variables p j : one per valuation, q+1.
The remainder of this section provides relations, graphs, and algorithms that define pipeline synthesis and optimization problem from a generic dataflow graph, with an example using the graph of Figure 4. Let N = {1,..., n} be a set of algorithm operators and M = {1,..., m} be a set of algorithm variables.
Using the RPART algorithm, variables are selected to maximize the difference between the left and right branches of the regression tree, according to the Gini or Information criterion [41] (Therneau TM & Atkinson EJ. 2003. The rpart package. Software manual. http://cran.r-project.org/web/packages/rpart/index.html).html
The first is prohibitively long runtimes and the second is the elucidation of the proper input parameters for the algorithm variables.
To determine the use of all theoretical indications created in clinical practice, data related to the algorithm variables were gathered for 1,053 patients on a waiting list to undergo cataract extraction by phacoemulsification from six ophthalmologic services at six area hospitals.
A balance control algorithm (variable structure-type algorithm) based on dynamic tyre force tracking has been devised.
This paper presents a meta-heuristic algorithm, variable neighborhood search (VNS), to the redundancy allocation problem (RAP).
The evolution processes of a population consist of three major operations: group reproduction using the compact genetic algorithm, variable two-part individual crossover, and variable two-part mutation.
The third step, Computation of Ranges of Variables, computes the maximum values of each algorithm variable.
In some problems, by acting an amount on product, input in relevant weight, we can change algorithm (variable) of input to transfer function, which called net input.
