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  2. Quotient rule - Wikipedia

    en.wikipedia.org/wiki/Quotient_rule

    Partial derivative; Multiple integral; Line integral; Surface integral; ... the quotient rule is a method of finding the derivative of a function that is the ratio of ...

  3. Partial derivative - Wikipedia

    en.wikipedia.org/wiki/Partial_derivative

    Quotient; L'Hôpital's rule; Inverse; General Leibniz; Faà di Bruno's formula ... a partial derivative of a function of several variables is its derivative with ...

  4. Differentiation rules - Wikipedia

    en.wikipedia.org/wiki/Differentiation_rules

    2.3 The quotient rule. 2.4 Generalized power rule. 3 Derivatives of exponential and logarithmic functions. ... Its partial derivatives are

  5. Vector calculus identities - Wikipedia

    en.wikipedia.org/wiki/Vector_calculus_identities

    2.4 Quotient rule for division ... Partial derivative; Multiple integral ... Table of derivativesRules for computing derivatives of functions Vector algebra ...

  6. Leibniz integral rule - Wikipedia

    en.wikipedia.org/wiki/Leibniz_integral_rule

    The difference quotients converge pointwise to the partial derivative f x by the assumption that the partial derivative exists. The above argument shows that for every sequence {δ n} → 0, the sequence {(,)} is uniformly bounded and converges pointwise to f x. The bounded convergence theorem states that if a sequence of functions on a set of ...

  7. Derivative - Wikipedia

    en.wikipedia.org/wiki/Derivative

    Quotient rule: ′ = ′ ′ for all ... Here ∂ is a rounded d called the partial derivative symbol. To distinguish it from the letter d, ∂ is sometimes ...

  8. Matrix calculus - Wikipedia

    en.wikipedia.org/wiki/Matrix_calculus

    In mathematics, matrix calculus is a specialized notation for doing multivariable calculus, especially over spaces of matrices.It collects the various partial derivatives of a single function with respect to many variables, and/or of a multivariate function with respect to a single variable, into vectors and matrices that can be treated as single entities.

  9. Chain rule - Wikipedia

    en.wikipedia.org/wiki/Chain_rule

    In calculus, the chain rule is a formula that expresses the derivative of the composition of two differentiable functions f and g in terms of the derivatives of f and g.More precisely, if = is the function such that () = (()) for every x, then the chain rule is, in Lagrange's notation, ′ = ′ (()) ′ (). or, equivalently, ′ = ′ = (′) ′.

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