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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 generalization of the dot product formula to Riemannian manifolds is a defining property of a Riemannian connection, which differentiates a vector field to give a vector-valued 1-form. Cross product rule
In calculus, the general Leibniz rule, [1] named after Gottfried Wilhelm Leibniz, generalizes the product rule for the derivative of the product of two ...
To elucidate the connection with the triple product rule, consider the point p 1 at time t and its corresponding point (with the same height) p̄ 1 at t+Δt. Define p 2 as the point at time t whose x-coordinate matches that of p̄ 1, and define p̄ 2 to be the corresponding point of p 2 as shown in the figure on the right.
Integration by parts can be extended to functions of several variables by applying a version of the fundamental theorem of calculus to an appropriate product rule. There are several such pairings possible in multivariate calculus, involving a scalar-valued function u and vector-valued function (vector field) V. [7]
Fractional calculus is a branch of mathematical analysis that studies the several different possibilities of defining real number powers or complex number powers of the differentiation operator = (), and of the integration operator J {\displaystyle J} [ Note 1 ] J f ( x ) = ∫ 0 x f ( s ) d s , {\displaystyle Jf(x)=\int _{0}^{x}f(s)\,ds\,,}
In geometry and algebra, the triple product is a product of three 3-dimensional vectors, ... 3.1 Tensor calculus. 3.2 Vector calculus. 4 See also. 5 Notes. 6 References.
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.
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