The derivative of a function gives its slope at a point.

More precisely, it give sthe inclination of a tangent line that passes through that point.

Here's an example of the chain rule. Suppose we want to calculate:
So we have:
and so:
Therefore the final result is:

$dxd e_{2x}$

$f(x)=e_{x}g(x)=2x$

$f_{′}(x)=e_{x}g_{′}(x)=2$

$f_{′}(g(x))g_{′}(x)=e_{2x}2=2e_{2x}$

math.stackexchange.com/questions/1786964/is-it-possible-to-construct-a-smooth-flat-top-bump-function

Given a function $f$:we want to find the points $x$ of the domain of $f$ where the value of $f$ is smaller (for minima, or larger for maxima) than all other points in some neighbourhood of $x$.

- from some space. For beginners the real numbers but more generally topological spaces should work in general
- to the real numbers

In the case of Functionals, this problem is treated under the theory of the calculus of variations.

Nope, it is not a Greek letter, notably it is not a lowercase delta. It is just some random made up symbol that looks like a letter D. Which is of course derived from delta, which is why it is all so damn confusing.

I think the symbol is usually just read as "D" as in "d f d x" for $∂x∂F(x,y,z) $.

This notation is not so common in basic mathematics, but it is so incredibly convenient, especially with Einstein notation as shown at Section "Einstein notation for partial derivatives":

$∂_{0}F(x,y,z)=∂x∂F(x,y,z) ∂_{1}F(x,y,z)=∂y∂F(x,y,z) ∂_{2}F(x,y,z)=∂x∂F(x,y,z) $

This notation is similar to partial label partial derivative notation, but it uses indices instead of labels such as $x$, $y$, etc.

The total derivative of a function assigns for every point of the domain a linear map with same domain, which is the best linear approximation to the function value around this point, i.e. the tangent plane.

E.g. in 1D:
and in 2D:

$Totalderivative=D[f(x_{0})](x)=f(x_{0})+∂x∂f (x_{0})×x$

$D[f(x_{0},y_{0})](x,y)=f(x_{0},y_{0})+∂x∂f (x_{0},y_{0})×x+∂y∂f (x_{0},y_{0})×y$

## Articles by others on the same topic (3)

This is a section about Derivative!

Derivative is a very important subject about which there is a lot to say.

For example, this sentence. And then another one.

This is a section about Derivative!

Derivative is a very important subject about which there is a lot to say.

For example, this sentence. And then another one.