New Package in Maxima to Build Axonometric Projections from$$\mathbb {R}^{4}$$ to$$\mathbb {R}^{3}$$ and Visualize Objects Immersed in$$\mathbb {R}^{4}$$

Emanuel E. Sobrino, Robert Ipanaqué, Ricardo Velezmoro, Josel A. Mechato

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

The human being has the need to represent the objects that surround him. But the world around us constitutes a three-dimensional reality and the formats in which it is represented are two-dimensional. Then the problem arises of representing on paper, which has two dimensions, any object immersed in a space that has three dimensions. In response to the problem, the Descriptive Geometry and the Representation Systems are born. The representation systems are a set of operations that allow make projections of objects immersed in three-dimensional space on a plane that is usually the role of drawing. A class of these systems are those obtained from axonometric projections of to based on Pohlke’s theorem and widely used in the vast majority of scientific texts. In this paper it is proposed to build axonometric projections from to to obtain projections of objects immersed in the four-dimensional space on a 3D hyperplane. To visualize the results, a new package encoded in the Maxima open source software will be used.

Idioma originalInglés
Título de la publicación alojadaComputational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings
EditoresOsvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Chiara Garau, Ivan Blecic, David Taniar, Bernady O. Apduhan, Ana Maria A.C. Rocha, Eufemia Tarantino, Carmelo Maria Torre, Yeliz Karaca
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas837-851
Número de páginas15
ISBN (versión impresa)9783030588199
DOI
EstadoPublicada - 2020
Evento20th International Conference on Computational Science and Its Applications, ICCSA 2020 - Cagliari, Italia
Duración: 1 jul. 20204 jul. 2020

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen12255 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia20th International Conference on Computational Science and Its Applications, ICCSA 2020
País/TerritorioItalia
CiudadCagliari
Período1/07/204/07/20

Huella

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