Lecture

Stationary Points: Necessary Conditions and Examples

In course
DEMO: dolor veniam culpa veniam
Ut ipsum pariatur id nulla. Anim reprehenderit commodo nisi ad veniam magna ex consequat sunt cupidatat aute. Aute nostrud ipsum veniam occaecat tempor reprehenderit duis ad Lorem nostrud culpa voluptate. Magna pariatur sit excepteur proident.
Login to see this section
Description

This lecture covers the concept of stationary points in functions, discussing necessary conditions for extrema and providing examples to illustrate the theory. It explains how to determine if a point is stationary and the conditions for it to be a local or global extremum.

Instructors (3)
do nisi et
Sunt officia duis laborum ut elit ut nisi enim exercitation sunt labore exercitation. Esse dolor ipsum ipsum mollit duis exercitation excepteur culpa ea veniam ea labore. Exercitation aute nisi culpa anim consectetur id esse quis.
cillum mollit enim Lorem
Reprehenderit dolor sint dolore nulla sint officia id mollit aliqua cillum sunt cupidatat. Exercitation minim reprehenderit ipsum aliqua commodo proident magna ad sint laborum sint. Nostrud id id tempor tempor duis. Dolor ut proident adipisicing commodo dolor deserunt. Ipsum deserunt aliquip duis aute do ad quis.
deserunt esse
Enim reprehenderit eu consequat aliquip duis esse dolore. Tempor eu ex officia aute in sint enim et ipsum aute occaecat. Sit excepteur commodo esse sit cupidatat labore et nulla aliqua dolor deserunt cillum est aliqua.
Login to see this section
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 (36)
Extrema of Functions in Several Variables
Explains extrema of functions in several variables, stationary points, saddle points, and the role of the Hessian matrix.
Nature of Extremum Points
Explores the nature of extremum points in functions of class e² around the point (0,0), emphasizing the importance of understanding their behavior in the vicinity.
Quantum Chaos and Scrambling
Explores the concept of scrambling in quantum chaotic systems, connecting classical chaos to quantum chaos and emphasizing sensitivity to initial conditions.
Local Extremums of Functions
Explains local and absolute extremums of functions and the classification of critical points.
Optimization: Local Extrema
Explains how to find local extrema of functions using derivatives and critical points.
Show more

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.