The phrase "algorithm can be understood" is correct and usable in written English.
It can be used when discussing the clarity or comprehensibility of an algorithm, often in educational or technical contexts.
Example: "With proper documentation and examples, the algorithm can be understood by even novice programmers."
Alternatives: "the algorithm is comprehensible" or "the algorithm can be grasped."
The superior performance of SVMs when compared to the other classification algorithms can be understood based on the properties of gene expression data.
Genetic algorithm (GA) can be understood as an intelligent probabilistic search algorithm that works on Darwin's principle of natural selection and that can be applied to a variety of combinatorial optimization problems [ 41].
Zach et al. [9] proposed an algorithm that can be understood as a minimization of Eq. (5), which is the sum of the total variation of flow field u= u,v) and an L1 attachment term: E_{Z}({mathbf{u}})=int_{Omega}|nabla {mathbf{u}}|+lambda|I(mathbf{x},n -I(mathbf{x}+{mathbf{u}},n -I|dA (5).
Mohr's use of the algorithm to create art can be understood as an appropriation of a mathematical form to investigate aesthetic possibilities that are out reach of immediate human comprehension.
The rules of games can be understood as algorithms, and nothing could be more human than making up games.
By comparing two algorithms according to the NPS criterion, it can be understood for medium- and large-size dimensions that in most cases, MOPSO algorithm has better performance than NSGA-II algorithm, especially for the growing scale of the problem.
It can be understood as a layer of abstraction between abstract algorithm code and actual data-distribution logic.
To solve a problem through the interactive genetic algorithm, the genes in the problem must be coded so that they can be understood.
TRIZ and evolutionary algorithms (EA) have shown results that support the idea that inventiveness can be understood and developed systematically.
The main goal of this article is to explain SA-IS in a way which can be understood by anyone having a basic background in algorithms.
