Examples of using Differentiable functions in English and their translations into Vietnamese
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Suppose u and v are differentiable functions of x.
R→ R{\displaystyle F:\mathbb{R}\rightarrow\mathbb{R}} and G: R→ R{\displaystyle G:\mathbb{R}\rightarrow\mathbb{R}}be two everywhere differentiable functions.
Let C∞(R) be the vector space of all infinitely differentiable functions R→ R, and let D: C∞(R)→ C∞(R) be the differentiation operator.
Suppose u(x) and v(x) are two continuously differentiable functions.
Several important spaces in functional analysis,for instance the space of all infinitely often differentiable functions R→ R or the space of all distributions on R, are complete but are not normed vector spaces and hence not Banach spaces.
Here is Leibniz's argument: Let u(x) and v(x)be two differentiable functions of x.
In 1970, Seppo Linnainmaa finally published the general method for automatic differentiation(AD)of discrete connected networks of nested differentiable functions.[15][16] This corresponds to the modern version of backpropagation which is efficient even when the networks are sparse.[ 17][ 18][ 7][ 8].
Maclaurin used Taylor series to characterize maxima, minima,and points of inflection for infinitely differentiable functions in his Treatise of Fluxions.
For instance, the continuously differentiable function F is invertible near a point p∈ Rn if the Jacobian determinant at p is non-zero.
With a continuously differentiable function r→.{\displaystyle{\vec{r}}.} The area of an individual piece is defined by the formula.
In mathematics, an immersion is a differentiable function between differentiable manifolds whose derivative is everywhere injective.[1] Explicitly, f: M→ N is an immersion if.
For example, suppose that f: R n→ R{\displaystyle f\colon\mathbf{R}^{n}\to\mathbf{R}}is a differentiable function of variables x 1,…, x n{\displaystyle x_{1},\ldots,x_{n}}.
As a result, the graph of a differentiable function must have a(non-vertical) tangent line at each point in its domain, be relatively smooth, and cannot contain any breaks, bends, or cusps.
One special case of the product rule is the constant multiple rule, which states: if c is a number and f(x)is a differentiable function, then cf(x) is also differentiable, and its derivative is(cf)′(x)= cf′(x).
In calculus(a branch of mathematics), a differentiable function of one real variable is a function whose derivative exists at each point in its domain.
For a differentiable function of several real variables, a critical point is a value in its domain where all partial derivatives are zero.[3] The value of the function at a critical point is a critical value.
If these functions are r times continuously differentiable, f is called a Cr-diffeomorphism.
In the 1990s and 2000s, there was much related work with long short-term memory(LSTM-adding differentiable memory to recurrent functions).
Functions of each type are infinitely differentiable, but complex analytic functions exhibit properties that do not hold generally for real analytic functions. .
I was considering periodic functions that were differentiable at every point in$\mathbb{R}$, but I realize that a function only has to be differentiable at all points in its domain to be considered differentiable.
It is an invertible function that maps one differentiable manifold to another such that both the function and its inverse are smooth.
A function is(totally) differentiable if its total derivative exists at every point in its domain.
More generally, if x0 is a point in the domain of a function f, then f is said to be differentiable at x0 if the derivative f′(x0) exists.
And this is some function f of x, and I'm going to put a few conditions on f of x. f of x has to be continuous and differentiable.
Observe that functions in V are not differentiable according to the elementary definition of calculus.
If the function is differentiable, the graph is a differential surface.
The last statement is wrong, since not every differentiable periodic function has bounded derivative.
This is the reason why backpropagation requires the activation function to be differentiable. .
But in the complex plane, if a function f(z) is differentiable in a neighborhood it must also be infinitely differentiable in that neighborhood.