pure mathematics

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pure mathematics

[′pyu̇r ‚math·ə′mad·iks]
(mathematics)
The intrinsic study of mathematical structures, with no consideration given as to the utility of the results for practical purposes.
References in periodicals archive ?
Zhang and Norman (1994) have shown that visual representations can lead to deeper understanding, because they can relieve some of the limited working memory resources that can be used to establish relationships between abstract mathematic concepts and its underlying functions.
It will eventually be used for other applications including engineering and abstract mathematics.
In most instances these new macroeconomic theories have been grounded in highly sophisticated and abstract mathematics and statistics, not in the broader context of the social sciences.
Octavie has an unusual talent for abstract mathematics and makes her way to Paris.
The first course in the program was "Abstract Mathematics Applied in Secondary Education," a survey course of topics from number theory, modern algebra and discrete mathematics.
A lot of economic argumentation is like abstract mathematics, when the facts of economic life are comparatively simply.
It covers the fundamentals of abstract mathematics, with special attention to its logical structure and how the theorems are proved.
Using science experiments in different courses of mathematics helps ground students' understanding of abstract mathematics concepts in real-world applications.
Although storytelling is not considered to be a "model", it is considered as another pedagogical technique that can enhance the understanding of abstract mathematics concepts.
Yet too often the meaningful basis of categories we are using (such as "apples", "oranges", "one-way" and "return") are neglected in our attempts to discuss and demonstrate abstract mathematics. Too often the categories we are using, in ways that we think we understand, are in fact thought of differently by our students.
It also introduces children to ideas of more abstract mathematics as they sort and classify data, create graphs, compare data sets, examine patterns, and interpret graphical representations.