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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Ferreira, M. A. M. (2022). Separation Theorems in Hilbert Spaces as Bases of Convex Programming. EasyChair Preprint Nº 7884.
Exportar Referência (IEEE) 
M. A. Ferreira,  "Separation Theorems in Hilbert Spaces as Bases of Convex Programming", in EasyChair Preprint Nº 7884, Manchester, 2022
Exportar BibTeX 
@unpublished{ferreira2022_1716184406418,
	author = "Ferreira, M. A. M.",
	title = "Separation Theorems in Hilbert Spaces as Bases of Convex Programming",
	year = "2022",
	url = "https://easychair.org/publications/preprint/t4pl"
}
Exportar RIS 
TY  - EJOUR
TI  - Separation Theorems in Hilbert Spaces as Bases of Convex Programming
T2  - EasyChair Preprint Nº 7884
AU  - Ferreira, M. A. M.
PY  - 2022
CY  - Manchester
UR  - https://easychair.org/publications/preprint/t4pl
AB  - Separation theorems are the bases of convex programming. They are important consequences of Hahn-Banach theorem. This work begins considering vector spaces in broad sense. Then normed spaces and finally Hilbert spaces. It ends with the consideration of these results in convex programming, an important quantitative tool in operations research, finance, management and economics.
ER  -