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  2. Quotient rule - Wikipedia

    en.wikipedia.org/wiki/Quotient_rule

    Calculus. In calculus, the quotient rule is a method of finding the derivative of a function that is the ratio of two differentiable functions. [1] [2] [3] Let , where both f and g are differentiable and The quotient rule states that the derivative of h(x) is. It is provable in many ways by using other derivative rules .

  3. Differentiation rules - Wikipedia

    en.wikipedia.org/wiki/Differentiation_rules

    Differentiation is linear. The product rule. The chain rule. The inverse function rule. Power laws, polynomials, quotients, and reciprocals. The polynomial or elementary power rule. The reciprocal rule. The quotient rule. Generalized power rule.

  4. Vector calculus identities - Wikipedia

    en.wikipedia.org/wiki/Vector_calculus_identities

    In Einstein notation, the vector field has curl given by: where = ±1 or 0 is the Levi-Civita parity symbol . For a tensor field of order k > 1, the tensor field of order k is defined by the recursive relation. where is an arbitrary constant vector. A tensor field of order greater than one may be decomposed into a sum of outer products, and ...

  5. Product rule - Wikipedia

    en.wikipedia.org/wiki/Product_rule

    In calculus, the product rule (or Leibniz rule [1] or Leibniz product rule) is a formula used to find the derivatives of products of two or more functions. For two functions, it may be stated in Lagrange's notation as. or in Leibniz's notation as. The rule may be extended or generalized to products of three or more functions, to a rule for ...

  6. Difference quotient - Wikipedia

    en.wikipedia.org/wiki/Difference_quotient

    lim Δ P → 0 {\displaystyle \lim _ {\Delta P\rightarrow 0}\,\!} ), then ΔF (P) is known as an infinitesimal difference, with specific denotations of dP and dF (P) (in calculus graphing, the point is almost exclusively identified as "x" and F (x) as "y"). The function difference divided by the point difference is known as "difference quotient":

  7. Derivative - Wikipedia

    en.wikipedia.org/wiki/Derivative

    The derivative is a fundamental tool of calculus that quantifies the sensitivity of change of a function 's output with respect to its input. The derivative of a function of a single variable at a chosen input value, when it exists, is the slope of the tangent line to the graph of the function at that point. The tangent line is the best linear ...

  8. 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,

  9. Finite difference - Wikipedia

    en.wikipedia.org/wiki/Finite_difference

    Finite difference. A finite difference is a mathematical expression of the form f (x + b) − f (x + a). If a finite difference is divided by b − a, one gets a difference quotient. The approximation of derivatives by finite differences plays a central role in finite difference methods for the numerical solution of differential equations ...

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