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  2. Differentiable function - Wikipedia

    en.wikipedia.org/wiki/Differentiable_function

    In particular, any differentiable function must be continuous at every point in its domain. The converse does not hold: a continuous function need not be differentiable. For example, a function with a bend, cusp, or vertical tangent may be continuous, but fails to be differentiable at the location of the anomaly.

  3. Differentiable programming - Wikipedia

    en.wikipedia.org/wiki/Differentiable_programming

    Differentiable programming is making significant strides in various fields beyond its traditional applications. In healthcare and life sciences, for example, it is being used for deep learning in biophysics-based modelling of molecular mechanisms.

  4. Weierstrass function - Wikipedia

    en.wikipedia.org/wiki/Weierstrass_function

    In mathematics, the Weierstrass function, named after its discoverer, Karl Weierstrass, is an example of a real-valued function that is continuous everywhere but differentiable nowhere. It is also an example of a fractal curve .

  5. Total derivative - Wikipedia

    en.wikipedia.org/wiki/Total_derivative

    For example, suppose that : is a differentiable function of variables , …,. The total derivative of f {\displaystyle f} at a {\displaystyle a} may be written in terms of its Jacobian matrix, which in this instance is a row matrix:

  6. Quotient rule - Wikipedia

    en.wikipedia.org/wiki/Quotient_rule

    In calculus, the quotient rule is a method of finding the derivative of a function that is the ratio of two differentiable functions. Let () = (), where both f and g are differentiable and ()

  7. Chain rule - Wikipedia

    en.wikipedia.org/wiki/Chain_rule

    For example, consider the function g(x) = e x. It has an inverse f(y) = ln y. Because g′(x) = e x, the above formula says that ⁡ = ⁡ =. This formula is true whenever g is differentiable and its inverse f is also differentiable. This formula can fail when one of these conditions is not true.

  8. Inverse function theorem - Wikipedia

    en.wikipedia.org/wiki/Inverse_function_theorem

    For functions of a single variable, the theorem states that if is a continuously differentiable function with nonzero derivative at the point ; then is injective (or bijective onto the image) in a neighborhood of , the inverse is continuously differentiable near = (), and the derivative of the inverse function at is the reciprocal of the derivative of at : ′ = ′ = ′ (()).

  9. Derivative - Wikipedia

    en.wikipedia.org/wiki/Derivative

    Under mild conditions (for example, if the function is a monotone or a Lipschitz function), this is true. However, in 1872, Weierstrass found the first example of a function that is continuous everywhere but differentiable nowhere. This example is now known as the Weierstrass function. [15]