learn how to use partial differentiation to solve max-min problems.

Partial differentiation is a powerful way to find the maxima and minima of a function. In this tutorial, we will learn how to use partial differentiation to solve max-min problems.

In this article, we will learn about Partial Derivatives and how to use them to solve problems.

# Partial Differentiation

Partial differentiation is a powerful technique in calculus that allows us to differentiate functions of multiple variables at once. It can be applied to functions of two and three variables, and is especially useful when solving max-min problems.

# What are Max-Min Problems?

Max-Min problems are a type of optimization problem where we try to find the maximum or minimum value of an objective function subject to some constraints. The constraints could be either equality constraints (the value of the objective function

[edigamounika]

Mam u r explaining Superb problems mam excellent teaching mam

[Pallapuvamshi]

Can u plss upload more models on maxima and minima

[akashdaksh]

But mam how can u say that in this case (rt-s² =0) is it saddle point? bcs we studying in this case rt-s² <0
i.e. saddle point but in above case saddle point 🤔???

[genius]

It is very hard to get teacher like u mam..thank you..

[shenbagavalli]

If rt-s^2<0 wheather it is maxima or minima

[gothikavennela]

Mam how u got that answer i.e y=+ or - √2 can u explain this and x values also

[surajitpatra]

If (rt-s^2)<0, then the point is a saddle point

[iconboy]

Good explanation mam, but I can't concentrate on board because of your face, you are very beautiful 😂😂

[tuffgaming]

Saddle ka formula dekh k aao didi
Ya sab toh sabko ata hain
Further Investigation wala case karya hota