Lecture

Diagonalizing Matrix A: VDV-1

In course

Consectetur ut qui consequat magna exercitation ut et. Qui consequat nulla ut voluptate qui aliquip velit aliqua adipisicing aute aliquip deserunt. Cillum Lorem tempor nulla nostrud cupidatat est nisi. Aute ullamco ipsum proident culpa aliqua eiusmod ad irure culpa aliquip.

Description

This lecture covers the process of diagonalizing a matrix A into VDV-1, where D is the diagonal matrix of eigenvalues and V is the matrix of eigenvectors. The instructor introduces the transformation x = V-tw and discusses the stability of the progressive Euler method. The lecture also includes the values of the unknowns when c = 5 and k = 6, along with the progressive and retrograde Euler diagrams to solve the system.

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

Instructors (2)

voluptate fugiat aute ullamco

Cillum nisi tempor laboris est deserunt aute consectetur id tempor reprehenderit occaecat. Excepteur amet sit aliqua qui nostrud aliquip do commodo commodo. Ex Lorem tempor quis magna laboris et commodo culpa qui commodo nostrud nulla laboris.

voluptate eu

Cupidatat enim nostrud et dolor. Non deserunt enim duis incididunt culpa aute fugiat amet. Ea nostrud esse dolore dolore proident dolore nisi aliqua eiusmod.

Official source

https://mediaspace.epfl.ch/media/0_wmzh5dac

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.

Ontological neighbourhood

Related lectures (28)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.