differentielletotale.py

Created by alten01

Created on December 17, 2024

464 Bytes


differentielle totale petit Df=
df/dxi Dx1 + df/dx2 Dx2+...+
df/dxn Dxn

grad f represente la direction de 
la plus grande variation de f
grad>f=(df/dx1,df/dx2,...,df/dxn)

formule du gradient de plusieurs
variables en coordonnees 
cartesiennes
gradf=(df/dx,df/dy,df/dz)

gradient au point M(x,y,z)
on remplace

calcul du vecteur unitaire de 
la normale
norme de gradient de g(M)
=sqrt(x^2+y^2+z^2)
soit la normale=(gradientg(M)
/norme)

During your visit to our site, NumWorks needs to install "cookies" or use other technologies to collect data about you in order to:

With the exception of Cookies essential to the operation of the site, NumWorks leaves you the choice: you can accept Cookies for audience measurement by clicking on the "Accept and continue" button, or refuse these Cookies by clicking on the "Continue without accepting" button or by continuing your browsing. You can update your choice at any time by clicking on the link "Manage my cookies" at the bottom of the page. For more information, please consult our cookies policy.