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  2. Differential of a function - Wikipedia

    en.wikipedia.org/wiki/Differential_of_a_function

    If there exists an m × n matrix A such that = + ‖ ‖ in which the vector ε → 0 as Δx → 0, then f is by definition differentiable at the point x. The matrix A is sometimes known as the Jacobian matrix , and the linear transformation that associates to the increment Δ x ∈ R n the vector A Δ x ∈ R m is, in this general setting ...

  3. Differentiation rules - Wikipedia

    en.wikipedia.org/wiki/Differentiation_rules

    2.1 Polynomial or elementary power rule. 2.2 Reciprocal rule. 2.3 Quotient rule. ... Differentiable function – Mathematical function whose derivative exists;

  4. Divisibility rule - Wikipedia

    en.wikipedia.org/wiki/Divisibility_rule

    Take each digit of the number (371) in reverse order (173), multiplying them successively by the digits 1, 3, 2, 6, 4, 5, repeating with this sequence of multipliers as long as necessary (1, 3, 2, 6, 4, 5, 1, 3, 2, 6, 4, 5, ...), and adding the products (1×1 + 7×3 + 3×2 = 1 + 21 + 6 = 28). The original number is divisible by 7 if and only if ...

  5. Derivative - Wikipedia

    en.wikipedia.org/wiki/Derivative

    A function of a real variable is differentiable at a point of its domain, if its domain contains an open interval containing ⁠ ⁠, and the limit = (+) exists. [2] This means that, for every positive real number ⁠ ⁠, there exists a positive real number such that, for every such that | | < and then (+) is defined, and | (+) | <, where the vertical bars denote the absolute value.

  6. Mean value theorem (divided differences) - Wikipedia

    en.wikipedia.org/wiki/Mean_value_theorem...

    In mathematical analysis, the mean value theorem for divided differences generalizes the mean value theorem to higher derivatives. [ 1 ] Statement of the theorem

  7. Quotient rule - Wikipedia

    en.wikipedia.org/wiki/Quotient_rule

    1.2 Example 2: Derivative of ... In calculus, the quotient rule is a method of finding the derivative of a function that is the ratio of two differentiable functions.

  8. Smoothness - Wikipedia

    en.wikipedia.org/wiki/Smoothness

    A bump function is a smooth function with compact support.. In mathematical analysis, the smoothness of a function is a property measured by the number of continuous derivatives (differentiability class) it has over its domain.

  9. Total derivative - Wikipedia

    en.wikipedia.org/wiki/Total_derivative

    In mathematics, the total derivative of a function f at a point is the best linear approximation near this point of the function with respect to its arguments. Unlike partial derivatives, the total derivative approximates the function with respect to all of its arguments, not just a single one.