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:
math.stackexchange.com/questions/1786964/is-it-possible-to-construct-a-smooth-flat-top-bump-function
Given a function :we want to find the points of the domain of where the value of is smaller (for minima, or larger for maxima) than all other points in some neighbourhood of .
- 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 .
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":
This notation is similar to partial label partial derivative notation, but it uses indices instead of labels such as , , 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.
Articles by others on the same topic
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.