English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

Many algorithms used are based on geometrical computation. There are severalcriteria in selecting appropriate algorithm from already known. Recently, thefastest algorithms have been preferred. Nowadays, algorithms with a highstability are preferred. Also technology and computer architecture, like GPUetc., plays a significant role for large data processing. However, somealgorithms are ill-conditioned due to numerical representation used; result ofthe floating point representation. In this paper, relations between projectiverepresentation, duality and Plucker coordinates will be explored withdemonstration on simple geometric examples. The presented approach isconvenient especially for application on GPUs or vector-vector computationalarchitectures

Projective Geometry, Duality and Plucker Coordinates for Geometric Computations with Determinants on GPUs