The phrase "a discussion of computational" is correct and usable in written English.
It can be used when referring to a conversation or analysis regarding computational topics, such as algorithms, data structures, or computational theory.
Example: "The conference will feature a discussion of computational methods used in modern data analysis."
Alternatives: "an examination of computational" or "a review of computational".
(See the next section for a discussion of computational complexity, including TIME).
This article presents a detailed algorithmic description of SWIFT, outlining the application-driven motivations for the different design choices, a discussion of computational complexity of the different steps, and results obtained with SWIFT for synthetic data and relatively simple experimental data that allow validation of the desirable attributes.
Section 5 provides a discussion on computational results.
A further discussion of computational aspects of each of the methods compared in this paper is warranted.
The chapter concludes with a discussion of recent applications of computational methods to the rational design of biomaterials, including the creation of surfaces with tailored functionality, computational modeling of the attachment function of fibronectin, and model-based design of tunable nanocarriers for drug delivery.
The chapter concludes with a discussion of recent applications of computational methods to the rational design of biomaterials, including the creation of surfaces with tailored functionality and computational modeling of the attachment function of fibronectin.
Since we strive for a widely accessible presentation of the activity cliff concept, the discussion of computational details is kept herein to an essential minimum.
For a long list of such type of formulas with a discussion of their relative merits in computational work, see Lehmer (1938).
This chapter provides a description of various array-based technologies and a discussion of the procedures and the computational approaches to the analysis of gene expression data, including gene filtering, scaling, normalization and transformation.
In this section we present the results achieved from the integration between laboratory work and computational analysis, together with a discussion of the emergent issues concerning PRR.
We close this paper with a discussion of the role of human analysts in the present era of computational classification and identification.
