FRANÇAIS
A showcase of ÉTS researchers’ publications and other contributions
SEARCH

Mathematical building blocks: From geometry to quaternions to bayesian

Downloads

Downloads per month over past year

Stower, Rebecca, Belzile, Bruno et St-Onge, David. 2022. « Mathematical building blocks: From geometry to quaternions to bayesian ». In Foundations of Robotics: A Multidisciplinary Approach with Python and ROS. pp. 127-174. Singapore : Springer Nature Singapore.

[thumbnail of St-Onge-D-2022-25415.pdf]
Preview
PDF
St-Onge-D-2022-25415.pdf - Published Version
Use licence: Creative Commons CC BY-NC-ND.

Download (846kB) | Preview

Abstract

Learning objectives: The objective at the end of this chapter is to be able to: • use vector and matrix operations; • represent translation, scaling, and symmetry in matrix operations; • understand the use and limitation of Euler’s angles and quaternions; • use homogeneous transformations; • use derivatives to find a function optimums and linearize a function; • understand the importance and the definition of a Gaussian distribution; • use t-tests and ANOVAs to validate statistical hypothesis.

Item Type: Book chapter
ISBN: 978-981-19-1983-1
Editors:
Editors
ORCID
Herath, Damith
UNSPECIFIED
St-Onge, David
UNSPECIFIED
Professor:
Professor
St-Onge, David
Affiliation: Génie mécanique
Date Deposited: 27 Sep 2022 13:59
Last Modified: 26 Oct 2022 15:24
URI: https://espace2.etsmtl.ca/id/eprint/25415

Actions (login required)

View Item View Item