Get 100 Selected Poems PDF

By E. E. Cummings

ISBN-10: 0802192238

ISBN-13: 9780802192233

E.e. cummings is with no query one of many significant poets of this century, and this quantity, first released in 1959, is crucial for each lover of recent lyrical verse. It includes 100 of cummings’s wittiest and such a lot profound poems, harvested from thirty-five of the main noticeably inventive years in modern American poetry. those poems convey all of the striking lyricism, playfulness, technical ingenuity, and compassion for which cummings is known. They exhibit fantastically his extrapolations from conventional poetic constructions and his departures from them, in addition to the original synthesis of lavish imagery and acute creative precision that has received him the adulation and appreciate of critics and poetry fans everywhere.

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Extra info for 100 Selected Poems

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Fuzzy logical database models are often created through mapping fuzzy conceptual data models into fuzzy logical database models. In this chapter, we mainly introduce several fuzzy database models, including fuzzy UML conceptual data model, fuzzy relational and fuzzy object-oriented logical database models. These models can be used for mapping to and from the fuzzy XML models in order to realize the fuzzy data management in many areas, such as database and Web-based application domains. Before that, we briefly introduce some notions of fuzzy set theory.

XML DTD and XML Schema) was formalized into XGrammar and the conversion between an XGrammar and EER model was presented. The EER was also used in Elmasri et al. (2002) to generate customized hierarchical views and then further create XML schemas from the hierarchical views. In Psaila (2000), the ER model was extended to ERX so that one can represent a style sheet and a collection of documents conforming to one DTD in ERX model. But order was represented in ERX model by an additional order attribute.

Let A and B be two (fuzzy) classes with object membership functions lA and lB, respectively. Let b be a given threshold. We say B is a subclass of A if ð8 eÞ ðb lB ð e Þ lA ðeÞÞ: The membership degree that B is a subclass of A should be minlB (e) C b (lB (e)). Here, e is object instance of A and B in the universe of discourse, and lA (e) and lB (e) are membership degrees of e to A and B, respectively. It should be noted, however, that in the above-mentioned fuzzy generalization relationship, we assume that classes A and B can only have the second level of fuzziness.

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100 Selected Poems by E. E. Cummings


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