Skip to main content

Search

Show all results for

Home

Lecture

Navigation Equations: Part 1

About
Privacy
Disclaimer

Copyright © 2025 EPFL, all rights reserved

Graph Chatbot

Description

This lecture covers the navigation equations, including body frame orientation, symmetric and orthonormal matrices, skew symmetric matrix, and attitude determination. The instructor explains the calculations step by step.

This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.

Watch on Mediaspace

Official source

https://mediaspace.epfl.ch/media/0_l3h4hw99

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Instructor

mollit nostrud id incididunt

Incididunt magna occaecat velit cillum id voluptate ullamco tempor irure. Culpa labore nisi sint fugiat sunt fugiat est. Voluptate ea elit occaecat ullamco incididunt amet incididunt veniam aute aliquip ea occaecat veniam et. Aliqua dolore elit do culpa anim Lorem aliqua duis veniam. Enim excepteur qui sint deserunt magna sint consequat id magna in consequat cillum veniam. Quis aliquip sunt nostrud id adipisicing ut magna consequat dolor magna veniam eu enim.

In course

DEMO: proident consectetur in duis

Consequat ipsum in laboris mollit ex dolor dolore officia. Ea deserunt nulla quis aliqua adipisicing in et proident quis enim incididunt enim officia. Do ad amet voluptate eiusmod ex consequat sit. Commodo Lorem Lorem dolor adipisicing amet ut proident ipsum velit non sunt incididunt eu labore. Tempor commodo commodo anim ad ad incididunt enim nulla aliqua esse occaecat.

Ontological neighbourhood

Algebra: Linear algebra

Related lectures (26)

Spectral Theorem Recap

Revisits the spectral theorem for symmetric matrices, emphasizing orthogonally diagonalizable properties and its equivalence with symmetric bilinear forms.

Symmetric Matrices: Diagonalization

Explores symmetric matrices, their diagonalization, and properties like eigenvalues and eigenvectors.

Diagonalisation of Symmetric Matrix by Orthogonal Matrix

Covers the method of diagonalizing a symmetric matrix using an orthogonal matrix.

Diagonalization of Symmetric Matrices

Explores diagonalization of symmetric matrices and their eigenvalues, emphasizing orthogonal properties.

Orthogonal Matrices & Spectral Decomposition

Covers the process of finding orthogonal bases and spectral decomposition of symmetric matrices.