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  2. Difference quotient - Wikipedia

    en.wikipedia.org/wiki/Difference_quotient

    By a slight change in notation (and viewpoint), for an interval [ a, b ], the difference quotient. is called [5] the mean (or average) value of the derivative of f over the interval [ a, b ]. This name is justified by the mean value theorem, which states that for a differentiable function f, its derivative f′ reaches its mean value at some ...

  3. Differentiation rules - Wikipedia

    en.wikipedia.org/wiki/Differentiation_rules

    The derivative of () = for any (nonvanishing) function f is: ′ = ′ (()) wherever f is non-zero. In Leibniz's notation, this is written (/) =.The reciprocal rule can be derived either from the quotient rule, or from the combination of power rule and chain rule.

  4. 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 .

  5. 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 ...

  6. Numerical differentiation - Wikipedia

    en.wikipedia.org/wiki/Numerical_differentiation

    For other stencil configurations and derivative orders, the Finite Difference Coefficients Calculator is a tool that can be used to generate derivative approximation methods for any stencil with any derivative order (provided a solution exists). Higher derivatives. Using Newton's difference quotient,

  7. Finite difference - Wikipedia

    en.wikipedia.org/wiki/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, especially boundary value problems.

  8. 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 ...

  9. Differential of a function - Wikipedia

    en.wikipedia.org/wiki/Differential_of_a_function

    e. In calculus, the differential represents the principal part of the change in a function with respect to changes in the independent variable. The differential is defined by. where is the derivative of f with respect to , and is an additional real variable (so that is a function of and ). The notation is such that the equation.